Janet E. Buhlmann

2.5k citations
22 papers · 2.1k · h-index 14

Impact in

  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • T-cell and B-cell Immunology 13
    • Immune Cell Function and Interaction 11
    • Immunotherapy and Immune Responses 7
    • Immune Response and Inflammation 4
    • Cell Adhesion Molecules Research 2

Janet E. Buhlmann

22 papers receiving 2.0k citations

Peers

Janet E. Buhlmann
Comparison fields: 5 of 84
  • Immunology 1.4k
  • Oncology 461
  • Aging 31
  • Immunology and Allergy 75
  • Cancer Research 124
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Citations per year

Countries citing papers authored by Janet E. Buhlmann

Since Specialization
Citations

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

Fields of papers citing papers by Janet E. Buhlmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet E. Buhlmann. 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 Janet E. Buhlmann. The network helps show where Janet E. Buhlmann may publish in the future.

Co-authors

The 25 scholars most cited alongside Janet E. Buhlmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Janet E. Buhlmann Line = papers co-authored together Janet E. Buhlmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996563
2 2003550
3 1999268
4 1993179
5 2000156
6 199991
7 200368
8 199253
9 202324
10 199624
11 199421
12 200220
13 199717
14 201315
15 20169
16 20058
17 20254
18 20204
19
Mutations in the WRN Gene in Mice Accelerate Mortality in a p53-Null Background
19993
20 20203

About Janet E. Buhlmann

Janet E. Buhlmann is a scholar working on Immunology, Immunology and Allergy, Oncology, Nephrology and Insect Science, having authored 22 papers that have together received 2.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (7 papers), Immune Response and Inflammation (4 papers), Cell Adhesion Molecules Research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Parasitic Diseases Research and Treatment (1 paper). The work is most often cited by research in Immunology (1.4k citations), Oncology (461 citations), Aging (31 citations), Immunology and Allergy (75 citations) and Cancer Research (124 citations). Janet E. Buhlmann has collaborated with scholars based in United States and Canada. Frequent co-authors include Arlene H. Sharpe, Randolph J. Noelle, Teresa M. Foy, Alejandro A. Aruffo, Jürgen Bajorath, Gordon James Freeman, Yvette E Latchman, Spencer C. Liang, Michal F. Tomczak and Bruce Harold Horwitz. Their work appears in journals such as The Journal of Immunology, Cellular Immunology, Annals of the New York Academy of Sciences, Journal of Clinical Immunology and ImmunoHorizons.

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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