Brian T. Wipke

28 total papers · 1.9k total citations
19 papers, 1.5k citations indexed

About

Brian T. Wipke is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Brian T. Wipke has authored 19 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 8 papers in Molecular Biology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Brian T. Wipke's work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Brian T. Wipke is often cited by papers focused on Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Brian T. Wipke collaborates with scholars based in United States, Switzerland and Canada. Brian T. Wipke's co-authors include Paul M. Allen, Zheng Wang, Robert H. Scannevin, Laura Mandik‐Nayak, Fei F. Shih, Wouter B. Nagengast, David E. Reichert, Aparna Shetty, Kara Pekarek and Raymond A. Sobel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Brian T. Wipke

19 papers receiving 1.4k citations

Hit Papers

Essential Role of Neutrop... 2001 2026 2009 2017 2001 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Brian T. Wipke 730 505 247 213 195 19 1.5k
C H Chou 711 1.0× 849 1.7× 98 0.4× 132 0.6× 295 1.5× 29 1.7k
Palaniswami Rathanaswami 419 0.6× 356 0.7× 201 0.8× 252 1.2× 159 0.8× 21 1.2k
Carla A. Martin 902 1.2× 340 0.7× 143 0.6× 208 1.0× 118 0.6× 29 1.4k
Lina Olsson 807 1.1× 427 0.8× 295 1.2× 194 0.9× 107 0.5× 33 1.4k
Ruben Papoian 539 0.7× 449 0.9× 318 1.3× 180 0.8× 164 0.8× 35 1.4k
M W Kies 636 0.9× 661 1.3× 91 0.4× 144 0.7× 191 1.0× 30 1.6k
Jens Holmberg 768 1.1× 387 0.8× 271 1.1× 239 1.1× 113 0.6× 16 1.3k
Yves Chicheportiche 767 1.1× 816 1.6× 107 0.4× 157 0.7× 177 0.9× 22 1.6k
Richard C. Chou 455 0.6× 347 0.7× 172 0.7× 119 0.6× 86 0.4× 29 1.2k
Joseph C. Marini 748 1.0× 374 0.7× 363 1.5× 177 0.8× 265 1.4× 29 1.5k

Countries citing papers authored by Brian T. Wipke

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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