Eugene Pearlman
- Cardiology and Cardiovascular Medicine top 10%
- Hematology top 5%
- Oncology
- Surgery
- Pulmonary and Respiratory Medicine
- Co-authors
- Joseph S. JanickiK T WeberG G PietraA. P. FishmanKenneth F. ManganJ. S. MacdonaldStuart L. GoldbergKarl T. Weber
- Topics
- Cardiovascular Function and Risk Factors (3 papers)Neutropenia and Cancer Infections (2 papers)Hematopoietic Stem Cell Transplantation (2 papers)
- Partner nations
- United States
In The Last Decade
Eugene Pearlman
13 papers receiving 520 citations
Peers
Comparison fields: 5 of 67
- Cardiology and Cardiovascular Medicine 250
- Hematology 151
- Oncology 124
- Surgery 82
- Pulmonary and Respiratory Medicine 68
Countries citing papers authored by Eugene Pearlman
This map shows the geographic impact of Eugene Pearlman'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 Eugene Pearlman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene Pearlman more than expected).
Fields of papers citing papers by Eugene Pearlman
This network shows the impact of papers produced by Eugene Pearlman. 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 Eugene Pearlman. The network helps show where Eugene Pearlman may publish in the future.
Co-authorship network of co-authors of Eugene Pearlman
This figure shows the co-authorship network connecting the top 25 collaborators of Eugene Pearlman. A scholar is included among the top collaborators of Eugene Pearlman 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 Eugene Pearlman. Eugene Pearlman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Factors associated with response to platelet transfusion following hematopoietic stem cell transplantation. | 44 |
| 3 | 146 | |
| 4 | When to transfuse blood in sickle cell disease? Lessons from Jehovah's Witnesses. | 4 |
| 5 | False-positive human immunodeficiency virus screening test related to rabies vaccination. | 13 |
| 6 | 14 | |
| 7 | 15 | |
| 8 | 15 | |
| 9 | Bilateral superficial femoral giant cell arteritis. | 5 |
| 10 | Muscle fiber orientation and connective tissue content in the hypertrophied human heart. | 196 |
| 11 | 74 | |
| 12 | Quantitative histology of the hypertrophied human heart. | 19 |
| 13 | Doxorubicin (Adriamycin) cardiotoxicity. | 1 |
| 14 | 2 |
About Eugene Pearlman
Eugene Pearlman is a scholar working on Hematology, Cardiology and Cardiovascular Medicine and Virology, having authored 14 papers that have together received 548 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (3 papers), Neutropenia and Cancer Infections (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Hematology (151 citations), Cardiology and Cardiovascular Medicine (250 citations) and Biochemistry (35 citations). Eugene Pearlman has collaborated with scholars based in United States. Frequent co-authors include Joseph S. Janicki, K T Weber, G G Pietra, A. P. Fishman, Kenneth F. Mangan, J. S. Macdonald, Stuart L. Goldberg, Karl T. Weber, William C. Hunter and Sanjeev G. Shroff. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Immunology and The American Journal 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.