OSU William G. Lowrie Department of Chemical and Biomolecular Engineering (CBE)
United States of America (USA)
1 December 2019 - 30 November 2020
Principal institution: The Ohio State University (OSU)
Region: Global
Subject/journal group: All
The table to the right includes counts of all research outputs for OSU William G. Lowrie Department of Chemical and Biomolecular Engineering (CBE) published between 1 December 2019 - 30 November 2020 which are tracked by the Nature Index.
Hover over the donut graph to view the FC output for each subject. Below, the same research outputs are grouped by subject. Click on the subject to drill-down into a list of articles organized by journal, and then by title.
Note: Articles may be assigned to more than one subject area.
Count | Share |
---|---|
14 | 6.07 |
Outputs by subject (Share)
Subject | Count | Share | |
---|---|---|---|
Life Sciences | 3 | 0.37 | |
Chemistry | 8 | 5.10 | |
Analytical Chemistry | 1 | 0.70 | |
Angewandte Chemie International Edition | 1 | 0.60 | |
Chemical Science | 1 | 0.07 | |
Macromolecules | 2 | 2 | |
Effects of Ion Size and Dielectric Constant on Ion Transport and Transference Number in Polymer Electrolytes
2020-11-03
|
1 | ||
Ion Conductivity and Correlations in Model Salt-Doped Polymers: Effects of Interaction Strength and Concentration
2020-05-07
|
1 | ||
Nature Communications | 1 | 0.86 | |
The Journal of Physical Chemistry Letters | 2 | 0.87 | |
Physical Sciences | 3 | 0.58 | |
Earth & Environmental Sciences | 1 | 0.25 |
Top articles by Altmetric score in current window
Haptoglobin administration into the subarachnoid space prevents hemoglobin-induced cerebral vasospasm
Journal of Clinical Investigation
2019-12-02
Glioma-initiating cells at tumor edge gain signals from tumor core cells to promote their malignancy
Nature Communications
2020-09-16
Near 100% CO selectivity in nanoscaled iron-based oxygen carriers for chemical looping methane partial oxidation
Nature Communications
2019-12-03
Beyond the BET Analysis: The Surface Area Prediction of Nanoporous Materials Using a Machine Learning Method
The Journal of Physical Chemistry Letters
2020-06-25

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