Brian Wasserman
Impact in
- Hematology top 5%
- Erythropoietin and Anemia Treatment
- Iron Metabolism and Disorders
- Nephrology top 5%
- Dialysis and Renal Disease Management
- Chronic Kidney Disease and Diabetes
Papers in
- Genetics 1
- Hemoglobinopathies and Related Disorders 1
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- Intensive Care Unit Cognitive Disorders 1
- Co-authors
- Stephen Aronoff (1 shared paper)Daniel L. Lorber (1 shared paper)Sally A. Hood (1 shared paper)William McClellan (1 shared paper)K. Linda Tang (1 shared paper)Thomas F. Tse (1 shared paper)W. Kline Bolton (1 shared paper)Matthew G. Hartwig (1 shared paper)
- Journals
- Current Medical Research and Opinion (1 paper)British Journal of Haematology (1 paper)Biology of Blood and Marrow Transplantation (1 paper)Transplantation Direct (1 paper)
- Partner nations
- United States
In The Last Decade
Brian Wasserman
6 papers receiving 365 citations
Peers
Comparison fields: 5 of 55
- Hematology 242
- Nephrology 119
- Genetics 67
- Biochemistry 15
- Transplantation 4
Countries citing papers authored by Brian Wasserman
This map shows the geographic impact of Brian Wasserman'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 Brian Wasserman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Wasserman more than expected).
Fields of papers citing papers by Brian Wasserman
This network shows the impact of papers produced by Brian Wasserman. 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 Brian Wasserman. The network helps show where Brian Wasserman may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Wasserman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 367 | |
| 2 | 2018 | 20 | |
| 3 | 1978 | 7 | |
| 4 | 2017 | 3 | |
| 5 | 2020 | 1 | |
| 6 | Lump Sum Estimating: Discovery and Simulation | 2012 | 1 |
About Brian Wasserman
Brian Wasserman is a scholar working on Genetics, Critical Care and Intensive Care Medicine, Cardiology and Cardiovascular Medicine, Anesthesiology and Pain Medicine and Hematology, having authored 6 papers that have together received 399 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (1 paper), Diabetes Management and Research (1 paper), Construction Project Management and Performance (1 paper), Hemoglobin structure and function (1 paper), Intensive Care Unit Cognitive Disorders (1 paper), Cardiac Health and Mental Health (1 paper), Hemoglobinopathies and Related Disorders (1 paper) and Anesthesia and Sedative Agents (1 paper). The work is most often cited by research in Hematology (242 citations), Nephrology (119 citations), Genetics (67 citations), Biochemistry (15 citations) and Transplantation (4 citations). Brian Wasserman has collaborated with scholars based in United States. Frequent co-authors include Stephen Aronoff, Daniel L. Lorber, Sally A. Hood, William McClellan, K. Linda Tang, Thomas F. Tse, W. Kline Bolton, Matthew G. Hartwig, Krista Ingle and Laurie D. Snyder. Their work appears in journals such as Current Medical Research and Opinion, British Journal of Haematology, Biology of Blood and Marrow Transplantation and Transplantation Direct.
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.