John DiGiovanni

15.8k citations
322 papers · 12.6k indexed · 4 hit papers · h-index 56
    • Carcinogens and Genotoxicity Assessment 49
    • NF-κB Signaling Pathways 25
  • Dermatology top 0.2%
  • Oncology top 0.5%
    • Cytokine Signaling Pathways and Interactions 31
    • Cancer-related Molecular Pathways 20
  • Immunology top 1%
    • PI3K/AKT/mTOR signaling in cancer 35
    • DNA Repair Mechanisms 25
    • Genomics, phytochemicals, and oxidative stress 17
    • Melanoma and MAPK Pathways 14

John DiGiovanni

320 papers receiving 12.3k citations

Hit Papers

Cancer as a Matter...3141992202620032014100200300400500

Peers

John DiGiovanni
Comparison fields: 5 of 143
  • Cancer Research 3.1k
  • Dermatology 1.2k
  • Oncology 3.5k
  • Immunology 2.2k
  • Molecular Biology 6.6k
Replace Toshio Kuroki with:
Toshio Kuroki Japan
Nancy H. Colburn United States
Levy Kopelovich United States
James A. McCubrey United States
Yong‐Yeon Cho South Korea
Kazuo Umezawa Japan
Wun‐Jae Kim South Korea
Ralf Schreck Germany
Yukihiro Akao Japan
Friedrich Marks Germany
John DiGiovanni relative to Toshio Kuroki Japan Toshio Kuroki's profile →
Citations per field
00.5×6.5×
Toshio Kuroki · 1×
Citations per year

Countries citing papers authored by John DiGiovanni

Since Specialization
Citations

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

Fields of papers citing papers by John DiGiovanni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202410
2 20238
3 20232
4 202123
5 201778
6 201538
7 201535
8 2014116
9 201335
10 201344
11 201223
12 201253
13 201141
14 201160
15 201152
16 201013
17 201014
18 200920
19 200778
20 200648

About John DiGiovanni

John DiGiovanni is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 322 papers that have together received 12.6k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (49 papers), PI3K/AKT/mTOR signaling in cancer (35 papers), Cytokine Signaling Pathways and Interactions (31 papers), NF-κB Signaling Pathways (25 papers), DNA Repair Mechanisms (25 papers), Cancer-related Molecular Pathways (20 papers), Genomics, phytochemicals, and oxidative stress (17 papers) and Melanoma and MAPK Pathways (14 papers). The work is most often cited by research in Cancer Research (3.1k citations), Dermatology (1.2k citations) and Oncology (3.5k citations). John DiGiovanni has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Kaoru Kiguchi, Shigetoshi Sano, Steve Carbajal, Keith Syson Chan, Linda Beltrán, Thomas J. Slaga, Joe M. Angel, Achinto Saha, Erika L. Abel and Mikhail G. Kolonin. Their work appears in journals such as Molecular Carcinogenesis, Carcinogenesis, Cancer Research, Chemical Research in Toxicology and Cancer Prevention Research.

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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