Mary Cohen-Williams
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Physiology top 2%
- Physiology
- Organic Chemistry
- Co-authors
- Geoffrey B. VartyVicki L. CoffinJohn C. HunterGalen CareyJean E. LachowiczRobert A. HodgsonGuy A. HigginsTimothy J. Kowalski
- Topics
- Receptor Mechanisms and Signaling (11 papers)Neuroscience and Neuropharmacology Research (7 papers)Adenosine and Purinergic Signaling (7 papers)
- Journals
- Brain ResearchJournal of Medicinal ChemistryJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- United StatesBulgariaSwitzerland
In The Last Decade
Mary Cohen-Williams
28 papers receiving 844 citations
Peers
Comparison fields: 5 of 76
- Cellular and Molecular Neuroscience 445
- Molecular Biology 441
- Physiology 153
- Physiology 136
- Organic Chemistry 131
Countries citing papers authored by Mary Cohen-Williams
This map shows the geographic impact of Mary Cohen-Williams's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mary Cohen-Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Cohen-Williams more than expected).
Fields of papers citing papers by Mary Cohen-Williams
This network shows the impact of papers produced by Mary Cohen-Williams. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mary Cohen-Williams. The network helps show where Mary Cohen-Williams may publish in the future.
Co-authorship network of co-authors of Mary Cohen-Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Mary Cohen-Williams. A scholar is included among the top collaborators of Mary Cohen-Williams based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mary Cohen-Williams. Mary Cohen-Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 22 | |
| 3 | 13 | |
| 4 | 19 | |
| 5 | 19 | |
| 6 | 128 | |
| 7 | 67 | |
| 8 | 34 | |
| 9 | 16 | |
| 10 | 3 | |
| 11 | 15 | |
| 12 | 15 | |
| 13 | 68 | |
| 14 | 59 | |
| 15 | 58 | |
| 16 | 59 | |
| 17 | 32 | |
| 18 | 8 | |
| 19 | 39 | |
| 20 | 27 |
About Mary Cohen-Williams
Mary Cohen-Williams is a scholar working on Physiology, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 28 papers that have together received 892 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (11 papers), Neuroscience and Neuropharmacology Research (7 papers) and Adenosine and Purinergic Signaling (7 papers). The work is most often cited by research in Physiology (153 citations), Cellular and Molecular Neuroscience (445 citations) and Endocrine and Autonomic Systems (79 citations). Mary Cohen-Williams has collaborated with scholars based in United States, Bulgaria and Switzerland. Frequent co-authors include Geoffrey B. Varty, Vicki L. Coffin, John C. Hunter, Galen Carey, Jean E. Lachowicz, Robert A. Hodgson, Guy A. Higgins, Timothy J. Kowalski, Constance Farley and Brian D. Spar. Their work appears in journals such as Brain Research, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.