Steve Kleinman
Impact in
- Biochemistry top 1%
- Blood transfusion and management
- Hematology top 2%
- Blood groups and transfusion
Papers in
- Hematology 10
- Blood groups and transfusion 10
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- Blood transfusion and management 9
- Co-authors
- Michael P. Busch (30 shared papers)Mars Stone (15 shared papers)Tamir Kanias (11 shared papers)Darrell J. Triulzi (12 shared papers)Grier P. Page (11 shared papers)Nareg H. Roubinian (13 shared papers)Donald Brambilla (10 shared papers)Yuelong Guo (7 shared papers)
- Journals
- Transfusion (29 papers)Transfusion Medicine Reviews (3 papers)JCI Insight (2 papers)Emerging infectious diseases (2 papers)Thrombosis Research (1 paper)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Steve Kleinman
47 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 92
- Biochemistry 475
- Hematology 333
- Management of Technology and Innovation 169
- Genetics 209
- Critical Care and Intensive Care Medicine 90
Countries citing papers authored by Steve Kleinman
This map shows the geographic impact of Steve Kleinman'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 Steve Kleinman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Kleinman more than expected).
Fields of papers citing papers by Steve Kleinman
This network shows the impact of papers produced by Steve Kleinman. 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 Steve Kleinman. The network helps show where Steve Kleinman may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve Kleinman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 157 | |
| 2 | 2019 | 117 | |
| 3 | 2015 | 110 | |
| 4 | 2016 | 104 | |
| 5 | 2018 | 90 | |
| 6 | 2018 | 67 | |
| 7 | 2020 | 60 | |
| 8 | 2021 | 58 | |
| 9 | 2021 | 49 | |
| 10 | 2001 | 44 | |
| 11 | 2020 | 43 | |
| 12 | 2018 | 40 | |
| 13 | 2018 | 39 | |
| 14 | 2018 | 39 | |
| 15 | 2022 | 36 | |
| 16 | 2009 | 34 | |
| 17 | 2010 | 32 | |
| 18 | 2019 | 32 | |
| 19 | 2015 | 30 | |
| 20 | 2020 | 30 |
About Steve Kleinman
Steve Kleinman is a scholar working on Hematology, Biochemistry, Epidemiology, Infectious Diseases and Physiology, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Blood groups and transfusion (10 papers), Blood transfusion and management (9 papers), Hepatitis B Virus Studies (4 papers), Erythrocyte Function and Pathophysiology (4 papers), Blood donation and transfusion practices (3 papers), SARS-CoV-2 detection and testing (3 papers), Hemoglobinopathies and Related Disorders (3 papers) and Neonatal Health and Biochemistry (3 papers). The work is most often cited by research in Biochemistry (475 citations), Hematology (333 citations), Management of Technology and Innovation (169 citations), Genetics (209 citations) and Critical Care and Intensive Care Medicine (90 citations). Steve Kleinman has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Michael P. Busch, Mars Stone, Tamir Kanias, Darrell J. Triulzi, Grier P. Page, Nareg H. Roubinian, Donald Brambilla, Yuelong Guo, Mark T. Gladwin and Marion C. Lanteri. Their work appears in journals such as Transfusion, Transfusion Medicine Reviews, JCI Insight, Emerging infectious diseases and Thrombosis 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.