Kenneth Weichert

24 total papers · 917 total citations
5 papers, 405 citations indexed

About

Kenneth Weichert is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Kenneth Weichert has authored 5 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Kenneth Weichert's work include Monoclonal and Polyclonal Antibodies Research (2 papers), Cancer-related gene regulation (2 papers) and Immune Cell Function and Interaction (2 papers). Kenneth Weichert is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (2 papers), Cancer-related gene regulation (2 papers) and Immune Cell Function and Interaction (2 papers). Kenneth Weichert collaborates with scholars based in United States, Singapore and Canada. Kenneth Weichert's co-authors include Stephen Antonysamy, Robert M. Campbell, Zahid Bonday, Aiping Zhang, Brandon L. Doyle, T. Gheyi, Bomie Han, Stephen R. Wasserman, Spencer Emtage and Yuewei Qian and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Structure.

In The Last Decade

Kenneth Weichert

5 papers receiving 396 citations

Author Peers

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

Author Last Decade Papers Cites
Kenneth Weichert 372 27 16 16 15 5 405
Luca Triboli 334 0.9× 61 2.3× 23 1.4× 28 1.8× 6 0.4× 6 421
Marguerite B. Dalton 374 1.0× 57 2.1× 7 0.4× 15 0.9× 8 0.5× 5 426
Keita Morohashi 326 0.9× 45 1.7× 16 1.0× 11 0.7× 9 0.6× 8 424
Jasmine R. Mueller 199 0.5× 16 0.6× 9 0.6× 20 1.3× 29 1.9× 7 396
Qinhui Rao 422 1.1× 38 1.4× 5 0.3× 21 1.3× 4 0.3× 9 495
Kyle W. Sherrill 420 1.1× 39 1.4× 22 1.4× 34 2.1× 4 0.3× 7 478
Brandon L. Doyle 383 1.0× 15 0.6× 9 0.6× 15 0.9× 80 5.3× 10 406
Moon-shong Tang 265 0.7× 23 0.9× 15 0.9× 20 1.3× 3 0.2× 6 449
Wenren Chaung 321 0.9× 60 2.2× 8 0.5× 12 0.8× 17 1.1× 9 378
Elizabeth M. Boehm 324 0.9× 50 1.9× 7 0.4× 15 0.9× 6 0.4× 8 411

Countries citing papers authored by Kenneth Weichert

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Weichert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth Weichert. 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 Kenneth Weichert. The network helps show where Kenneth Weichert may publish in the future.

Co-authorship network of co-authors of Kenneth Weichert

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth Weichert. A scholar is included among the top collaborators of Kenneth Weichert 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 Kenneth Weichert. Kenneth Weichert 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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