Phillip E. Posch
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Reproductive System and Pregnancy
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
Papers in
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- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 1
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- vaccines and immunoinformatics approaches 3
- TGF-β signaling in diseases 2
- Genomics and Chromatin Dynamics 1
- Co-authors
- Carolyn Katovich Hurley (8 shared papers)Andrëw G. Brööks (3 shared papers)Francisco Borrego (3 shared papers)John E. Coligan (3 shared papers)Riddhishkumar Shah (2 shared papers)Matthias Ulbrecht (1 shared paper)Elizabeth H. Weiss (1 shared paper)Christopher J. VandenBussche (1 shared paper)
- Journals
- The Journal of Immunology (3 papers)Human Immunology (2 papers)Human Genetics (2 papers)Journal of Biomedical Science (2 papers)European Journal of Immunology (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Phillip E. Posch
13 papers receiving 818 citations
Peers
Comparison fields: 5 of 57
- Immunology 523
- Hematology 121
- Transplantation 12
- Biological Psychiatry 3
- Genetics 58
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 | 216 | |
| 2 | 2006 | 196 | |
| 3 | 1999 | 148 | |
| 4 | 2006 | 82 | |
| 5 | 2005 | 69 | |
| 6 | 2006 | 45 | |
| 7 | 1998 | 24 | |
| 8 | 1995 | 20 | |
| 9 | 2013 | 16 | |
| 10 | 1996 | 9 | |
| 11 | 1998 | 8 | |
| 12 | 1996 | 6 | |
| 13 | 2013 | 6 |
About Phillip E. Posch
Phillip E. Posch is a scholar working on Immunology, Molecular Biology, Genetics, Reproductive Medicine and Hematology, having authored 13 papers that have together received 845 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), vaccines and immunoinformatics approaches (3 papers), TGF-β signaling in diseases (2 papers), Genetic Associations and Epidemiology (2 papers), Genomics and Chromatin Dynamics (1 paper), Science, Research, and Medicine (1 paper), T-cell and B-cell Immunology (1 paper) and Hematopoietic Stem Cell Transplantation (1 paper). The work is most often cited by research in Immunology (523 citations), Hematology (121 citations), Transplantation (12 citations), Biological Psychiatry (3 citations) and Genetics (58 citations). Phillip E. Posch has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Carolyn Katovich Hurley, Andrëw G. Brööks, Francisco Borrego, John E. Coligan, Riddhishkumar Shah, Matthias Ulbrecht, Elizabeth H. Weiss, Christopher J. VandenBussche, Sivanesan Dakshanamurthy and Andrea Paolo Bacigalupo. Their work appears in journals such as The Journal of Immunology, Human Immunology, Human Genetics, Journal of Biomedical Science and European Journal of Immunology.
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.