Justin A. Kenkel

3.3k citations
23 papers · 2.0k indexed · 1 hit paper · h-index 12
Topics
Immunotherapy and Immune Responses (13 papers)Immune Cell Function and Interaction (8 papers)Cancer Immunotherapy and Biomarkers (8 papers)

In The Last Decade

Justin A. Kenkel

22 papers receiving 2.0k citations

Hit Papers

B cells promote insulin resistance through modulation of ...20112026201620212011250500750

Peers

Justin A. Kenkel
Comparison fields: 5 of 104
  • Immunology 1.1k
  • Oncology 607
  • Epidemiology 559
  • Molecular Biology 407
  • Physiology 339
Replace Yolande Chvatchko with:
Yolande Chvatchko Switzerland
Satoshi Yamagiwa Japan
Patricia Gilleaudeau United States
Владимир Субботин United States
Maryrose J. Conklyn United States
Christophe Ferrand France
Cindy Knall United States
Jeremy A. Sullivan United States
George D. Kalliolias United States
Wolf‐Dietrich Döcke Germany
Justin A. Kenkel relative to Yolande Chvatchko Switzerland Yolande Chvatchko's profile →
Citations per field
00.5×1.5×2.4×
Yolande Chvatchko · 1×
Citations per year

Countries citing papers authored by Justin A. Kenkel

Since Specialization
Citations

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

Fields of papers citing papers by Justin A. Kenkel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin A. Kenkel. 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 Justin A. Kenkel. The network helps show where Justin A. Kenkel may publish in the future.

Co-authorship network of co-authors of Justin A. Kenkel

This figure shows the co-authorship network connecting the top 25 collaborators of Justin A. Kenkel. A scholar is included among the top collaborators of Justin A. Kenkel 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 Justin A. Kenkel. Justin A. Kenkel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 25
4 5
5 1
6 2
7 4
8 53
9 77
10 96
11 35
12 126
13 358
14 170
15 6
16 22
17
B cells promote insulin resistance through modulation of T cells and production of pathogenic IgG antibodiesbreakdown →
806
18 67
19 135
20 5

About Justin A. Kenkel

Justin A. Kenkel is a scholar working on Immunology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 2.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (13 papers), Immune Cell Function and Interaction (8 papers) and Cancer Immunotherapy and Biomarkers (8 papers). The work is most often cited by research in Immunology (1.1k citations), Oncology (607 citations) and Epidemiology (559 citations). Justin A. Kenkel has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Edgar G. Engleman, Matthew G. Davidson, Daniel A. Winer, Michael N. Alonso, Lei Shen, Hubert Tsui, Jason Yantha, Ping Wu, H.‐Michael Dosch and Geoffrey Paltser. Their work appears in journals such as Nature, Angewandte Chemie International Edition and Nature 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.

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