Rachelle Kosoff

1.8k citations
14 papers · 1.1k indexed · h-index 12
Topics
PI3K/AKT/mTOR signaling in cancer (3 papers)Protein Kinase Regulation and GTPase Signaling (3 papers)Cancer Immunotherapy and Biomarkers (2 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaNature reviews. Cancer

In The Last Decade

Rachelle Kosoff

14 papers receiving 1.1k citations

Peers

Rachelle Kosoff
Comparison fields: 5 of 88
  • Molecular Biology 713
  • Immunology 324
  • Oncology 263
  • Cell Biology 137
  • Cancer Research 111
Replace Maria A. Christophorou with:
Maria A. Christophorou United Kingdom
Masayuki Noguchi Japan
Chun Shik Park United States
Joseph G. Naglich United States
Uri Nir Israel
Xiaochun Wan China
Christine Wagner Austria
Ailsa J. Frew Australia
Guanhua Song China
Yun Liang China
Rachelle Kosoff relative to Maria A. Christophorou United Kingdom Maria A. Christophorou's profile →
Citations per field
00.5×1.5×
Maria A. Christophorou · 1×
Citations per year

Countries citing papers authored by Rachelle Kosoff

Since Specialization
Citations

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

Fields of papers citing papers by Rachelle Kosoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachelle Kosoff

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 2
2 2
3 323
4 39
5 21
6 46
7 27
8 374
9 29
10 22
11 29
12 13
13 89
14 83

About Rachelle Kosoff

Rachelle Kosoff is a scholar working on Immunology, Hematology and Modeling and Simulation, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Immunology (324 citations), Molecular Biology (713 citations) and Oncology (263 citations). Rachelle Kosoff has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Jonathan Chernoff, Maria Radu, Galina Semenova, Katherine B. Ragan, Justin P. Ingram, Siddharth Balachandran, Luis J. Sigal, Peter Vogel, Shoko Nogusa and Jason W. Upton. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Nature reviews. Cancer.

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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