Brian T. Wipke
- Immunology top 5%
- Molecular Biology
- Rheumatology top 5%
- Oncology
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Paul M. AllenZheng WangRobert H. ScannevinLaura Mandik‐NayakFei F. ShihDavid E. ReichertWouter B. NagengastAparna Shetty
- Topics
- Immune Cell Function and Interaction (6 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)T-cell and B-cell Immunology (5 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsThe Journal of Experimental Medicine
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Brian T. Wipke
19 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Immunology 730
- Molecular Biology 506
- Rheumatology 247
- Oncology 212
- Radiology, Nuclear Medicine and Imaging 194
Countries citing papers authored by Brian T. Wipke
This map shows the geographic impact of Brian T. Wipke'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 Brian T. Wipke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian T. Wipke more than expected).
Fields of papers citing papers by Brian T. Wipke
This network shows the impact of papers produced by Brian T. Wipke. 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 Brian T. Wipke. The network helps show where Brian T. Wipke may publish in the future.
Co-authorship network of co-authors of Brian T. Wipke
This figure shows the co-authorship network connecting the top 25 collaborators of Brian T. Wipke. A scholar is included among the top collaborators of Brian T. Wipke 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 Brian T. Wipke. Brian T. Wipke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 35 | |
| 3 | 38 | |
| 4 | 12 | |
| 5 | 19 | |
| 6 | 17 | |
| 7 | 244 | |
| 8 | 17 | |
| 9 | 2 | |
| 10 | 156 | |
| 11 | 4 | |
| 12 | 28 | |
| 13 | 112 | |
| 14 | 55 | |
| 15 | 98 | |
| 16 | 63 | |
| 17 | Essential Role of Neutrophils in the Initiation and Progression of a Murine Model of Rheumatoid Arthritisbreakdown → | 507 |
| 18 | 13 | |
| 19 | 30 |
About Brian T. Wipke
Brian T. Wipke is a scholar working on Immunology, Neurology and Biological Psychiatry, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Immunology (730 citations), Immunology and Allergy (179 citations) and Biological Psychiatry (49 citations). Brian T. Wipke has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Paul M. Allen, Zheng Wang, Robert H. Scannevin, Laura Mandik‐Nayak, Fei F. Shih, David E. Reichert, Wouter B. Nagengast, Aparna Shetty, Joon‐Young Kim and Ulf Schulze‐Topphoff. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.
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.