Pamela N. Pharr
- Molecular Biology
- Hematology top 5%
- Immunology top 10%
- Oncology
- Physiology
- Co-authors
- Makio OgawaGregory D. LongmoreDennis K. WatsonDemetri D. SpyropoulosPascale JackersTakis S. PapasHarvey F. LodishAnn F. Hofbauer
- Topics
- Erythrocyte Function and Pathophysiology (13 papers)Blood groups and transfusion (5 papers)Platelet Disorders and Treatments (4 papers)
- Cited by
- HematologyImmunologyGenetics
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Pamela N. Pharr
22 papers receiving 733 citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 335
- Hematology 259
- Immunology 245
- Oncology 161
- Physiology 129
Countries citing papers authored by Pamela N. Pharr
This map shows the geographic impact of Pamela N. Pharr'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 Pamela N. Pharr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pamela N. Pharr more than expected).
Fields of papers citing papers by Pamela N. Pharr
This network shows the impact of papers produced by Pamela N. Pharr. 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 Pamela N. Pharr. The network helps show where Pamela N. Pharr may publish in the future.
Co-authorship network of co-authors of Pamela N. Pharr
This figure shows the co-authorship network connecting the top 25 collaborators of Pamela N. Pharr. A scholar is included among the top collaborators of Pamela N. Pharr 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 Pamela N. Pharr. Pamela N. Pharr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 65 | |
| 2 | 19 | |
| 3 | 1 | |
| 4 | 252 | |
| 5 | Residual erythroid progenitors in W/W mice respond to erythropoietin in the absence of steel factor signals. | 5 |
| 6 | 35 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | 39 | |
| 11 | 41 | |
| 12 | 39 | |
| 13 | 56 | |
| 14 | Activation of the erythropoietin receptor and leukemia induction in mice. | 2 |
| 15 | Mutation in murine erythropoietin receptor induces erythropoietin-independent erythroid proliferation in vitro, polycythemia in vivo. | 5 |
| 16 | Enhancement of the proliferation of murine fetal liver erythroid progenitors by infection with Harvey sarcoma virus. | 5 |
| 17 | 74 | |
| 18 | 15 | |
| 19 | 19 | |
| 20 | 17 |
About Pamela N. Pharr
Pamela N. Pharr is a scholar working on Hematology, Physiology and Immunology, having authored 22 papers that have together received 739 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (13 papers), Blood groups and transfusion (5 papers) and Platelet Disorders and Treatments (4 papers). The work is most often cited by research in Hematology (259 citations), Immunology (245 citations) and Genetics (120 citations). Pamela N. Pharr has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Makio Ogawa, Gregory D. Longmore, Dennis K. Watson, Demetri D. Spyropoulos, Pascale Jackers, Takis S. Papas, Harvey F. Lodish, Ann F. Hofbauer, Aki Mikami and D F Hankins. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and Molecular and Cellular Biology.
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.