Michelle Kuhne

2.8k total citations · 1 hit paper
35 papers, 2.2k citations indexed

About

Michelle Kuhne is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Michelle Kuhne has authored 35 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 17 papers in Oncology and 14 papers in Molecular Biology. Recurrent topics in Michelle Kuhne's work include Monoclonal and Polyclonal Antibodies Research (12 papers), Immunotherapy and Immune Responses (10 papers) and CAR-T cell therapy research (8 papers). Michelle Kuhne is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (12 papers), Immunotherapy and Immune Responses (10 papers) and CAR-T cell therapy research (8 papers). Michelle Kuhne collaborates with scholars based in United States, New Zealand and Germany. Michelle Kuhne's co-authors include Arthur Weiss, Gustav E. Lienhard, Deborah Yablonski, Tony Pawson, Theresa A. Kadlecek, Guosheng Feng, Alan J. Korman, Pina M. Cardarelli, Gregory Ku and M. S. Srinivasan and has published in prestigious journals such as Science, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Michelle Kuhne

34 papers receiving 2.1k citations

Hit Papers

In Vitro Characterization of the Anti-PD-1 Antibody Nivol... 2014 2026 2018 2022 2014 100 200 300 400

Peers

Michelle Kuhne
Comparison fields: 5 of 85
  • Immunology 1.1k
  • Molecular Biology 933
  • Oncology 788
  • Genetics 243
  • Radiology, Nuclear Medicine and Imaging 213
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Citations per field, relative to Michelle Kuhne
Michelle Kuhne · 1×
Citations per year, relative to Michelle Kuhne
Michelle Kuhne · 1×

Countries citing papers authored by Michelle Kuhne

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Kuhne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Kuhne

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Kuhne. A scholar is included among the top collaborators of Michelle Kuhne 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 Michelle Kuhne. Michelle Kuhne 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
# Work Indexed citations
1 13
2 1
3 12
4
In Vitro Characterization of the Anti-PD-1 Antibody Nivolumab, BMS-936558, and In Vivo Toxicology in Non-Human Primates breakdown →
472
5 4
6 6
7 181
8 1
9
Abstract #LB-150: A fully human anti-CXCR4 antibody induces apoptosis in vitro and shows anti tumor activity in vivo.
1
10 39
11 2
12 1
13 6
14 92
15 94
16 12
17 70
18 17
19 342
20 94

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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