T W Post
Impact in
- Immunology top 2%
- Complement system in diseases
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immunology and Allergy top 5%
Papers in
- Immunology 12
- Complement system in diseases 8
- Immune Cell Function and Interaction 4
- Galectins and Cancer Biology 3
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- M. Kathryn Liszewski (4 shared papers)John P. Atkinson (3 shared papers)Paul Ponath (2 shared papers)Jian-Feng Wang (1 shared paper)Craig Gerard (1 shared paper)Suofu Qin (1 shared paper)Lin Wu (1 shared paper)Charles R. Mackay (1 shared paper)
- Journals
- The Journal of Immunology (5 papers)The Journal of Experimental Medicine (3 papers)Annual Review of Immunology (1 paper)Genomics (1 paper)Journal of Neuroscience Research (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
T W Post
11 papers receiving 1.7k citations
T W Post's Hit Papers
Peers
Comparison fields: 5 of 82
- Immunology 1.0k
- Immunology and Allergy 125
- Hematology 170
- Oncology 384
- Physiology 361
Countries citing papers authored by T W Post
This map shows the geographic impact of T W Post'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 T W Post with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T W Post more than expected).
Fields of papers citing papers by T W Post
This network shows the impact of papers produced by T W Post. 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 T W Post. The network helps show where T W Post may publish in the future.
Co-authors
The 25 scholars most cited alongside T W Post, 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 | Molecular cloning and characterization of a human eotaxin receptor expressed selectively on eosinophils. Hit paper breakdown → | 1996 | 518 |
| 2 | 1991 | 495 | |
| 3 | 1988 | 180 | |
| 4 | 1991 | 146 | |
| 5 | 1995 | 89 | |
| 6 | 1990 | 64 | |
| 7 | 1996 | 58 | |
| 8 | 1998 | 56 | |
| 9 | 1992 | 55 | |
| 10 | 1993 | 27 | |
| 11 | 1991 | 19 | |
| 12 | 2017 | 0 |
About T W Post
T W Post is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Physiology, Oncology and Physiology, having authored 12 papers that have together received 1.7k indexed citations. Recurring topics across this work include Complement system in diseases (8 papers), Immune Cell Function and Interaction (4 papers), Galectins and Cancer Biology (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Adenosine and Purinergic Signaling (2 papers), Chemokine receptors and signaling (2 papers), Asthma and respiratory diseases (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Immunology (1.0k citations), Immunology and Allergy (125 citations), Hematology (170 citations), Oncology (384 citations) and Physiology (361 citations). T W Post has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include M. Kathryn Liszewski, John P. Atkinson, Paul Ponath, Jian-Feng Wang, Craig Gerard, Suofu Qin, Lin Wu, Charles R. Mackay, N P Gerard and Walter Newman. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Annual Review of Immunology, Genomics and Journal of Neuroscience Research.
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.