Jeff Lightfoot

1.1k citations
15 papers · 925 · 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 5
    • Kruppel-like factors research 2
    • Protein Degradation and Inhibitors 1
    • Acute Myeloid Leukemia Research 2
    • Chronic Myeloid Leukemia Treatments 2

Jeff Lightfoot

14 papers receiving 907 citations

Peers

Jeff Lightfoot
Comparison fields: 5 of 77
  • Cancer Research 279
  • Molecular Biology 728
  • Immunology 119
  • Genetics 150
  • Oncology 141
Replace Jan de Groot with:
Jan de Groot Netherlands
Mads H. Haugen Norway
Françoise Hoffschir France
Mounira Amor-Guéret France
Ding-Yen Lin Taiwan
Zhanwen Du United States
Carol Reifsteck United States
Anderson T. Wang United Kingdom
Lipeng Wu China
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 2001196
3 2000175
4 200983
5 200843
6 200825
7 199613
8 20109
9 20079
10 20009
11 20143
12 20163
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 925 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), Kruppel-like factors research (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Dermatology and Skin Diseases (2 papers), Acute Myeloid Leukemia Research (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Cancer Treatment and Pharmacology (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Cancer Research (279 citations), Molecular Biology (728 citations), Immunology (119 citations), Genetics (150 citations) and Oncology (141 citations). Jeff Lightfoot has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Manuel Buchwald, Peter J. O’Brien, Hagop Youssoufian, K Beard, Robert C. Cumming, Hans Joenje, Fré Arwert, Jan C. Pronk, Lucine Bosnoyan-Collins and Noa Alon. Their work appears in journals such as Blood, The American Journal of Human Genetics, Cancer Immunology Immunotherapy, Nature Medicine and Nature Genetics.

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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