E Sudora
Impact in
- Hematology top 5%
- Blood groups and transfusion
- Platelet Disorders and Treatments
- Blood Coagulation and Thrombosis Mechanisms
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
Papers in
-
- Blood groups and transfusion 7
-
- Erythrocyte Function and Pathophysiology 8
- Co-authors
- Roxane Spitzer (1 shared paper)J Forristal (1 shared paper)Ann Stitzel (1 shared paper)Enrique H. Vallota (1 shared paper)Neil C. Davis (1 shared paper)Clark D. West (1 shared paper)S. P. Masouredis (7 shared papers)L C Mahan (5 shared papers)
- Journals
- Transfusion (3 papers)Journal of Clinical Investigation (2 papers)Science (1 paper)European Journal of Nuclear Medicine and Molecular Imaging (1 paper)Blood (1 paper)
- Partner nations
- United States
In The Last Decade
E Sudora
11 papers receiving 294 citations
Peers
Comparison fields: 5 of 53
- Hematology 181
- Nephrology 112
- Immunology 192
- Genetics 67
- Physiology 102
Countries citing papers authored by E Sudora
This map shows the geographic impact of E Sudora'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 E Sudora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E Sudora more than expected).
Fields of papers citing papers by E Sudora
This network shows the impact of papers produced by E Sudora. 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 E Sudora. The network helps show where E Sudora may publish in the future.
Co-authors
The 14 scholars most cited alongside E Sudora, 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 | 1969 | 227 | |
| 2 | 1980 | 32 | |
| 3 | 1976 | 27 | |
| 4 | 1975 | 20 | |
| 5 | 1976 | 14 | |
| 6 | Immunoelectron microscopy of Kell and Cellano antigens on red cell ghosts. | 1980 | 11 |
| 7 | Effect of acetylation on monoclonal antibody ZCE-025 Fab': distribution in normal and tumor-bearing mice. | 1990 | 9 |
| 8 | 1975 | 8 | |
| 9 | 1981 | 7 | |
| 10 | 1992 | 6 | |
| 11 | Methyldopa-induced erythrocyte binding IgG: another model of nonspecific attachment of immunoglobulins to erythrocytes. | 1972 | 2 |
About E Sudora
E Sudora is a scholar working on Hematology, Physiology, Genetics, Nephrology and Surfaces, Coatings and Films, having authored 11 papers that have together received 363 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (8 papers), Blood groups and transfusion (7 papers), Diabetes and associated disorders (2 papers), Lipid Membrane Structure and Behavior (2 papers), Blood disorders and treatments (2 papers), Glycosylation and Glycoproteins Research (1 paper), Complement system in diseases (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Hematology (181 citations), Nephrology (112 citations), Immunology (192 citations), Genetics (67 citations) and Physiology (102 citations). E Sudora has collaborated with scholars based in United States. Frequent co-authors include Roxane Spitzer, J Forristal, Ann Stitzel, Enrique H. Vallota, Neil C. Davis, Clark D. West, S. P. Masouredis, L C Mahan, Edward J. Victoria and Elaine A. Muchmore. Their work appears in journals such as Transfusion, Journal of Clinical Investigation, Science, European Journal of Nuclear Medicine and Molecular Imaging and Blood.
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.