Edward G. Shesely
- Physiology top 1%
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 10%
- Biochemistry top 0.5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Oliver SmithiesVictor E. LaubachPaula ShermanNobuyo MaedaOscar A. CarreteroXiao-Ping YangGabor KaleyKaushik Desai
- Topics
- Renin-Angiotensin System Studies (25 papers)Nitric Oxide and Endothelin Effects (22 papers)Coagulation, Bradykinin, Polyphosphates, and Angioedema (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationJournal of the American College of Cardiology
- Partner nations
- United StatesChinaCanada
In The Last Decade
Edward G. Shesely
44 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Physiology 2.0k
- Cardiology and Cardiovascular Medicine 1.8k
- Molecular Biology 1.1k
- Biochemistry 645
- Endocrinology, Diabetes and Metabolism 560
Countries citing papers authored by Edward G. Shesely
This map shows the geographic impact of Edward G. Shesely'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 Edward G. Shesely with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward G. Shesely more than expected).
Fields of papers citing papers by Edward G. Shesely
This network shows the impact of papers produced by Edward G. Shesely. 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 Edward G. Shesely. The network helps show where Edward G. Shesely may publish in the future.
Co-authorship network of co-authors of Edward G. Shesely
This figure shows the co-authorship network connecting the top 25 collaborators of Edward G. Shesely. A scholar is included among the top collaborators of Edward G. Shesely 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 Edward G. Shesely. Edward G. Shesely is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 123 | |
| 2 | 34 | |
| 3 | 41 | |
| 4 | 7 | |
| 5 | 19 | |
| 6 | 32 | |
| 7 | 15 | |
| 8 | 99 | |
| 9 | 49 | |
| 10 | 1 | |
| 11 | 233 | |
| 12 | 69 | |
| 13 | 155 | |
| 14 | 31 | |
| 15 | 46 | |
| 16 | 88 | |
| 17 | Mice lacking inducible nitric oxide synthase are not resistant to lipopolysaccharide-induced death.breakdown → | 499 |
| 18 | 1 | |
| 19 | 33 | |
| 20 | 36 |
About Edward G. Shesely
Edward G. Shesely is a scholar working on Cardiology and Cardiovascular Medicine, Biochemistry and Genetics, having authored 44 papers that have together received 4.0k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (25 papers), Nitric Oxide and Endothelin Effects (22 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (10 papers). The work is most often cited by research in Biochemistry (645 citations), Cardiology and Cardiovascular Medicine (1.8k citations) and Physiology (2.0k citations). Edward G. Shesely has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Oliver Smithies, Victor E. Laubach, Paula Sherman, Nobuyo Maeda, Oscar A. Carretero, Xiao-Ping Yang, Gabor Kaley, Kaushik Desai, John H. Krege and William C. Sessa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of the American College of Cardiology.
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.