Jeff Kucharski

2.1k total citations · 1 hit paper
10 papers, 656 citations indexed

About

Jeff Kucharski is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Jeff Kucharski has authored 10 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 2 papers in Cancer Research. Recurrent topics in Jeff Kucharski's work include PI3K/AKT/mTOR signaling in cancer (6 papers), Cancer, Lipids, and Metabolism (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Jeff Kucharski is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (6 papers), Cancer, Lipids, and Metabolism (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Jeff Kucharski collaborates with scholars based in United States and South Korea. Jeff Kucharski's co-authors include Linda Kessler, Pingda Ren, Lian‐Sheng Li, Matthew R. Janes, Anjali Babbar, Tess Ely, Matthew P. Patricelli, Rasmus Hansen, Jeffrey H. Chen and Ulf Peters and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and European Journal of Cancer.

In The Last Decade

Jeff Kucharski

10 papers receiving 643 citations

Hit Papers

Selective Inhibition of Oncogenic KRAS Output with Small ... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers

Jeff Kucharski
Comparison fields: 5 of 51
  • Molecular Biology 534
  • Oncology 216
  • Pulmonary and Respiratory Medicine 94
  • Organic Chemistry 86
  • Cell Biology 47
Replace Alexis de Haven Brandon with:
Alexis de Haven Brandon United Kingdom
Wayne Blosser United States
Ruth Ruddle United Kingdom
Ann Katrin Greifenberg Germany
Michael Grondine United States
Anjali Babbar
Eli Wallace United States
Kelly E. Fisher United States
Hai-Xiao Zhai
Joe Lyssikatos United States
Alexis de Haven Brandon United Kingdom View profile →
Citations per field, relative to Jeff Kucharski
Jeff Kucharski · 1×
Citations per year, relative to Jeff Kucharski
Jeff Kucharski · 1×

Countries citing papers authored by Jeff Kucharski

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Kucharski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Kucharski

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

All Works

10 of 10 papers shown
# Work Indexed citations
1
Selective Inhibition of Oncogenic KRAS Output with Small Molecules Targeting the Inactive State breakdown →
530
2 2
3 59
4 4
5 14
6 1
7 5
8 1
9 20
10 20

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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