Jeff Lightfoot

1.1k citations
15 papers · 927 · h-index 10

Impact in

    • Carcinogens and Genotoxicity Assessment
    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • Genomics and Chromatin Dynamics
    • Porphyrin Metabolism and Disorders

Papers in

    • DNA Repair Mechanisms 4
    • Kruppel-like factors research 2
    • Protein Degradation and Inhibitors 1
    • Chronic Myeloid Leukemia Treatments 2

Jeff Lightfoot

14 papers receiving 909 citations

Peers

Jeff Lightfoot
Comparison fields: 5 of 75
  • Cancer Research 265
  • Molecular Biology 714
  • Immunology 113
  • Oncology 132
  • Genetics 137
Replace Jan de Groot with:
Jan de Groot Netherlands
Mads H. Haugen Norway
Senthilkumar Cinghu United States
Ding-Yen Lin Taiwan
Carol Reifsteck United States
W. Brian Dalton United States
Shiming Jiang United States
Anderson T. Wang United Kingdom
Zhanwen Du United States
Sara Rodríguez‐Acebes Spain
Jeff Lightfoot relative to Jan de Groot Netherlands Jan de Groot's profile →
Citations per field
00.5×2.6×
Jan de Groot · 1×
Citations per year

Countries citing papers authored by Jeff Lightfoot

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Lightfoot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1996355
2 2001197
3 2000175
4 200983
5 200843
6 200826
7 199613
8 20109
9 20009
10 20079
11 20163
12 20143
13 20161
14 20151
15 20100

About Jeff Lightfoot

Jeff Lightfoot is a scholar working on Molecular Biology, Hematology, Genetics, Immunology and Genetics, having authored 15 papers that have together received 927 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Dermatology and Skin Diseases (2 papers), Kruppel-like factors research (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Protein Degradation and Inhibitors (1 paper), BRCA gene mutations in cancer (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Cancer Research (265 citations), Molecular Biology (714 citations), Immunology (113 citations), Oncology (132 citations) and Genetics (137 citations). Jeff Lightfoot has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Manuel Buchwald, Hagop Youssoufian, K Beard, Peter J. O’Brien, Robert C. Cumming, Martin A. Rooimans, Noa Alon, Carola G.M. van Berkel, Jan C. Pronk and Lucine Bosnoyan-Collins. Their work appears in journals such as Blood, Cancer Immunology Immunotherapy, The American Journal of Human Genetics, Nature Medicine and Journal of Transatlantic Studies.

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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