Bradley J. Rabquer

44 total papers · 1.2k total citations
31 papers, 907 citations indexed

About

Bradley J. Rabquer is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Bradley J. Rabquer has authored 31 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 9 papers in Oncology and 7 papers in Molecular Biology. Recurrent topics in Bradley J. Rabquer's work include Cell Adhesion Molecules Research (6 papers), Systemic Sclerosis and Related Diseases (5 papers) and Influenza Virus Research Studies (4 papers). Bradley J. Rabquer is often cited by papers focused on Cell Adhesion Molecules Research (6 papers), Systemic Sclerosis and Related Diseases (5 papers) and Influenza Virus Research Studies (4 papers). Bradley J. Rabquer collaborates with scholars based in United States, Switzerland and Australia. Bradley J. Rabquer's co-authors include Alisa E. Koch, Jeffrey H. Ruth, M. Asif Amin, G. Kenneth Haines, Hubert Marotte, Angéla Pákozdi, Phillip L. Campbell, Pei‐Suen Tsou, Salahuddin Ahmed and S. Louise Smithson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

In The Last Decade

Bradley J. Rabquer

30 papers receiving 896 citations

Author Peers

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

Author Last Decade Papers Cites
Bradley J. Rabquer 359 330 205 175 159 31 907
Hua Zhong 179 0.5× 277 0.8× 90 0.4× 118 0.7× 95 0.6× 31 735
M Shingu 271 0.8× 241 0.7× 74 0.4× 366 2.1× 148 0.9× 33 967
H J Gruss 191 0.5× 346 1.0× 175 0.9× 134 0.8× 214 1.3× 26 851
Wenxin Huang 563 1.6× 438 1.3× 140 0.7× 96 0.5× 99 0.6× 23 1.0k
Paola Cordiali‐Fei 195 0.5× 353 1.1× 263 1.3× 245 1.4× 260 1.6× 39 1.0k
Jun‐Ichi Masuyama 242 0.7× 423 1.3× 88 0.4× 116 0.7× 186 1.2× 33 895
A. D. Crockard 234 0.7× 421 1.3× 142 0.7× 183 1.0× 128 0.8× 48 925
Αthanasios Mavropoulos 240 0.7× 509 1.5× 202 1.0× 189 1.1× 119 0.7× 39 999
Fang Wang 391 1.1× 254 0.8× 114 0.6× 193 1.1× 269 1.7× 47 1.0k
Tianyu Cao 451 1.3× 368 1.1× 118 0.6× 89 0.5× 122 0.8× 35 974

Countries citing papers authored by Bradley J. Rabquer

Since Specialization
Citations

This map shows the geographic impact of Bradley J. Rabquer'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 Bradley J. Rabquer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bradley J. Rabquer more than expected).

Fields of papers citing papers by Bradley J. Rabquer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bradley J. Rabquer. 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 Bradley J. Rabquer. The network helps show where Bradley J. Rabquer may publish in the future.

Co-authorship network of co-authors of Bradley J. Rabquer

This figure shows the co-authorship network connecting the top 25 collaborators of Bradley J. Rabquer. A scholar is included among the top collaborators of Bradley J. Rabquer 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 Bradley J. Rabquer. Bradley J. Rabquer 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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