Phillip E. Posch
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Reproductive System and Pregnancy
- Immunotherapy and Immune Responses
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
Papers in
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- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 3
- Reproductive System and Pregnancy 2
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- TGF-β signaling in diseases 2
- RNA and protein synthesis mechanisms 1
- Co-authors
- Carolyn Katovich Hurley (7 shared papers)John E. Coligan (3 shared papers)Francisco Borrego (3 shared papers)Andrëw G. Brööks (3 shared papers)Riddhishkumar Shah (2 shared papers)Matthias Ulbrecht (1 shared paper)Elizabeth H. Weiss (1 shared paper)Sivanesan Dakshanamurthy (1 shared paper)
- Journals
- The Journal of Immunology (3 papers)Human Immunology (2 papers)Human Genetics (2 papers)Journal of Leukocyte Biology (1 paper)Journal of Biomedical Science (1 paper)
- Partner nations
- United StatesNetherlandsItaly
In The Last Decade
Phillip E. Posch
12 papers receiving 774 citations
Peers
Comparison fields: 5 of 70
- Immunology 603
- Hematology 157
- Oncology 165
- Virology 16
- Transplantation 9
Countries citing papers authored by Phillip E. Posch
This map shows the geographic impact of Phillip E. Posch'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 Phillip E. Posch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip E. Posch more than expected).
Fields of papers citing papers by Phillip E. Posch
This network shows the impact of papers produced by Phillip E. Posch. 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 Phillip E. Posch. The network helps show where Phillip E. Posch may publish in the future.
Co-authors
The 25 scholars most cited alongside Phillip E. Posch, 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 | 1997 | 204 | |
| 2 | 2006 | 167 | |
| 3 | 1999 | 140 | |
| 4 | 2006 | 80 | |
| 5 | 2005 | 66 | |
| 6 | 2006 | 44 | |
| 7 | 1998 | 21 | |
| 8 | 1995 | 21 | |
| 9 | 2013 | 16 | |
| 10 | 1996 | 8 | |
| 11 | 1996 | 6 | |
| 12 | 2013 | 6 |
About Phillip E. Posch
Phillip E. Posch is a scholar working on Immunology, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 12 papers that have together received 779 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (3 papers), TGF-β signaling in diseases (2 papers), Reproductive System and Pregnancy (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Cancer, Hypoxia, and Metabolism (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Immunology (603 citations), Hematology (157 citations), Oncology (165 citations), Virology (16 citations) and Transplantation (9 citations). Phillip E. Posch has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Carolyn Katovich Hurley, John E. Coligan, Francisco Borrego, Andrëw G. Brööks, Riddhishkumar Shah, Matthias Ulbrecht, Elizabeth H. Weiss, Sivanesan Dakshanamurthy, Christopher J. VandenBussche and Sherif S. Farag. Their work appears in journals such as The Journal of Immunology, Human Immunology, Human Genetics, Journal of Leukocyte Biology and Journal of Biomedical Science.
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.