Benjamin M. Larimer

1.4k citations
32 papers · 673 · h-index 12

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune cells in cancer

Papers in

    • Cancer Immunotherapy and Biomarkers 12
    • HER2/EGFR in Cancer Research 7
    • CAR-T cell therapy research 5
    • Monoclonal and Polyclonal Antibodies Research 10
    • Medical Imaging Techniques and Applications 5
    • Radiopharmaceutical Chemistry and Applications 4

Benjamin M. Larimer

25 papers receiving 667 citations

Peers

Benjamin M. Larimer
Comparison fields: 5 of 52
  • Oncology 454
  • Immunology 293
  • Radiology, Nuclear Medicine and Imaging 260
  • Cancer Research 54
  • Biomedical Engineering 110
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Countries citing papers authored by Benjamin M. Larimer

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin M. Larimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin M. Larimer. 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 Benjamin M. Larimer. The network helps show where Benjamin M. Larimer may publish in the future.

Co-authors

The 25 scholars most cited alongside Benjamin M. Larimer, 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 Benjamin M. Larimer Line = papers co-authored together Benjamin M. Larimer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017240
2 2016100
3 201893
4 202038
5 201434
6 202026
7 201625
8 201719
9 202217
10 202315
11
Development of a peptide by phage display for SPECT imaging of resistance-susceptible breast cancer.
201415
12 202114
13 20227
14 20244
15 20184
16 20214
17 20244
18 20104
19 20223
20 20242

About Benjamin M. Larimer

Benjamin M. Larimer is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Immunology, Molecular Biology and Cancer Research, having authored 32 papers that have together received 673 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (12 papers), Immunotherapy and Immune Responses (10 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), HER2/EGFR in Cancer Research (7 papers), Medical Imaging Techniques and Applications (5 papers), CAR-T cell therapy research (5 papers), Immune cells in cancer (5 papers) and Radiopharmaceutical Chemistry and Applications (4 papers). The work is most often cited by research in Oncology (454 citations), Immunology (293 citations), Radiology, Nuclear Medicine and Imaging (260 citations), Cancer Research (54 citations) and Biomedical Engineering (110 citations). Benjamin M. Larimer has collaborated with scholars based in United States and Greece. Frequent co-authors include Umar Mahmood, Eric Wehrenberg-Klee, Genevieve M. Boland, Taylor Kalomeris, Anila Mehta, Keith T. Flaherty, Frank Dubois, Susan L. Deutscher, Emily Bloch and George P. Smith. Their work appears in journals such as Journal of Nuclear Medicine, Molecular Imaging and Biology, Cancer Research, Nuclear Medicine and Biology and Clinical Cancer Research.

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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