Steven R. Goodman
- Physiology top 0.5%
- Molecular Biology top 5%
- Cell Biology top 0.5%
- Pulmonary and Respiratory Medicine top 2%
- Cellular and Molecular Neuroscience top 2%
- Co-authors
- Ian S. ZagonDavid KakhniashviliB.M. RiedererWarren E. ZimmerKeith E. KrebsKathleen ShifferLee A. BullaCarol F. Whitfield
- Topics
- Erythrocyte Function and Pathophysiology (97 papers)Blood properties and coagulation (34 papers)Hemoglobinopathies and Related Disorders (26 papers)
- Cited by
- PhysiologyCell BiologyGenetics
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Steven R. Goodman
147 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 155
- Physiology 2.8k
- Molecular Biology 2.5k
- Cell Biology 1.3k
- Pulmonary and Respiratory Medicine 998
- Cellular and Molecular Neuroscience 964
Countries citing papers authored by Steven R. Goodman
This map shows the geographic impact of Steven R. Goodman'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 Steven R. Goodman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven R. Goodman more than expected).
Fields of papers citing papers by Steven R. Goodman
This network shows the impact of papers produced by Steven R. Goodman. 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 Steven R. Goodman. The network helps show where Steven R. Goodman may publish in the future.
Co-authorship network of co-authors of Steven R. Goodman
This figure shows the co-authorship network connecting the top 25 collaborators of Steven R. Goodman. A scholar is included among the top collaborators of Steven R. Goodman 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 Steven R. Goodman. Steven R. Goodman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 9 | |
| 3 | 17 | |
| 4 | Ubiquitination of erythrocyte spectrin regulates the dissociation of the spectrin-adducin-f-actin ternary complex in vitro. | 9 |
| 5 | 3 | |
| 6 | 85 | |
| 7 | 2 | |
| 8 | 15 | |
| 9 | 26 | |
| 10 | 6 | |
| 11 | New therapeutic approaches to sickle cell disease: targeting RBC membrane oxidative damage | 7 |
| 12 | 18 | |
| 13 | The role of the membrane skeleton in formation of the irreversibly sickled cell: a review | 6 |
| 14 | The role of spectrin and synapsin i in synaptic transmission | 1 |
| 15 | 30 | |
| 16 | 60 | |
| 17 | 17 | |
| 18 | 135 | |
| 19 | 265 | |
| 20 | 2 |
About Steven R. Goodman
Steven R. Goodman is a scholar working on Physiology, Genetics and Cell Biology, having authored 148 papers that have together received 5.4k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (97 papers), Blood properties and coagulation (34 papers) and Hemoglobinopathies and Related Disorders (26 papers). The work is most often cited by research in Physiology (2.8k citations), Cell Biology (1.3k citations) and Genetics (655 citations). Steven R. Goodman has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Ian S. Zagon, David Kakhniashvili, B.M. Riederer, Warren E. Zimmer, Keith E. Krebs, Kathleen Shiffer, Lee A. Bulla, Carol F. Whitfield, Archil Shartava and John Yu. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.