John DiGiovanni

15.8k total citations · 4 hit papers
322 papers, 12.6k citations indexed

About

John DiGiovanni is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, John DiGiovanni has authored 322 papers receiving a total of 12.6k indexed citations (citations by other indexed papers that have themselves been cited), including 191 papers in Molecular Biology, 100 papers in Cancer Research and 99 papers in Oncology. Recurrent topics in John DiGiovanni's work include Carcinogens and Genotoxicity Assessment (49 papers), PI3K/AKT/mTOR signaling in cancer (35 papers) and Cytokine Signaling Pathways and Interactions (31 papers). John DiGiovanni is often cited by papers focused on Carcinogens and Genotoxicity Assessment (49 papers), PI3K/AKT/mTOR signaling in cancer (35 papers) and Cytokine Signaling Pathways and Interactions (31 papers). John DiGiovanni collaborates with scholars based in United States, Japan and United Kingdom. John DiGiovanni's co-authors include Kaoru Kiguchi, Shigetoshi Sano, Steve Carbajal, Keith Syson Chan, Linda Beltrán, Thomas J. Slaga, Joe M. Angel, Erika L. Abel, Achinto Saha and Mikhail G. Kolonin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

John DiGiovanni

320 papers receiving 12.3k citations

Hit Papers

Stat3 links activated keratinocytes and immunocytes requ... 1992 2026 2003 2014 2004 1992 2016 2018 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Stat3 links activated keratinocytes and immunocytes required for development of psoriasis in a novel transgenic mouse model
    2004 592 citations Steve Carbajal, John L. Clifford et al. profile →
  2. Multistage carcinogenesis in mouse skin
    1992 545 citations John DiGiovanni profile →
  3. Systemic depletion of L-cyst(e)ine with cyst(e)inase increases reactive oxygen species and suppresses tumor growth
    2016 431 citations Achinto Saha, John DiGiovanni et al. profile →
  4. Cancer as a Matter of Fat: The Crosstalk between Adipose Tissue and Tumors
    2018 314 citations John DiGiovanni, Mikhail G. Kolonin et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John DiGiovanni United States 56 6.6k 3.5k 3.1k 2.2k 1.2k 322 12.6k
Toshio Kuroki Japan 61 7.8k 1.2× 2.3k 0.6× 2.0k 0.7× 1.1k 0.5× 612 0.5× 263 12.8k
Nancy H. Colburn United States 67 11.1k 1.7× 3.2k 0.9× 5.1k 1.7× 1.2k 0.5× 347 0.3× 232 15.5k
Kazuo Umezawa Japan 51 5.3k 0.8× 2.1k 0.6× 2.4k 0.8× 2.1k 0.9× 223 0.2× 425 11.0k
Levy Kopelovich United States 50 4.8k 0.7× 2.5k 0.7× 1.8k 0.6× 704 0.3× 558 0.5× 214 9.2k
Yong‐Yeon Cho South Korea 54 5.1k 0.8× 1.5k 0.4× 1.0k 0.3× 830 0.4× 460 0.4× 268 8.6k
James A. McCubrey United States 79 16.1k 2.5× 6.8k 2.0× 3.9k 1.3× 3.2k 1.4× 216 0.2× 421 24.9k
Aamir Ahmad United States 66 7.8k 1.2× 3.8k 1.1× 3.9k 1.3× 818 0.4× 178 0.1× 254 13.8k
Chunying Li China 47 3.6k 0.6× 1.2k 0.3× 907 0.3× 1.9k 0.8× 905 0.7× 301 8.2k
Wun‐Jae Kim South Korea 53 5.9k 0.9× 1.7k 0.5× 2.1k 0.7× 918 0.4× 191 0.2× 418 10.7k
Ashok K. Saluja United States 61 4.3k 0.6× 3.9k 1.1× 1.0k 0.3× 1.8k 0.8× 138 0.1× 243 11.7k

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 of co-authors of John DiGiovanni

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

All Works

20 of 20 papers shown
1.
Liss, Michael A., et al.. (2025). Obesity, dietary interventions and microbiome alterations in the development and progression of prostate cancer. Frontiers in Immunology. 15. 1448116–1448116. 2 indexed citations
2.
Wells, Carrow I., Julie E. Pickett, Lauren E. Howard, et al.. (2021). Non-canonical role of Hippo tumor suppressor serine/threonine kinase 3 STK3 in prostate cancer. Molecular Therapy. 30(1). 485–500. 23 indexed citations
3.
Saha, Achinto, et al.. (2017). Proinflammatory CXCL12–CXCR4/CXCR7 Signaling Axis Drives Myc-Induced Prostate Cancer in Obese Mice. Cancer Research. 77(18). 5158–5168. 78 indexed citations
4.
Saha, Achinto, et al.. (2015). Effect of Metformin, Rapamycin, and Their Combination on Growth and Progression of Prostate Tumors in HiMyc Mice. Cancer Prevention Research. 8(7). 597–606. 35 indexed citations
5.
Rho, Okkyung, et al.. (2015). Effect of Combined Treatment with Ursolic Acid and Resveratrol on Skin Tumor Promotion by 12- O -Tetradecanoylphorbol-13-Acetate. Cancer Prevention Research. 8(9). 817–825. 38 indexed citations
6.
Saha, Achinto, et al.. (2014). 6-Shogaol from Dried Ginger Inhibits Growth of Prostate Cancer Cells Both In Vitro and In Vivo through Inhibition of STAT3 and NF-κB Signaling. Cancer Prevention Research. 7(6). 627–638. 116 indexed citations
7.
Rho, Okkyung, Joe M. Angel, Jorge Blando, et al.. (2013). Metformin Inhibits Skin Tumor Promotion in Overweight and Obese Mice. Cancer Prevention Research. 7(1). 54–64. 44 indexed citations
8.
Lange, Sabine S., Ella Bedford, John P. Wittschieben, et al.. (2013). Dual role for mammalian DNA polymerase ζ in maintaining genome stability and proliferative responses. Proceedings of the National Academy of Sciences. 110(8). E687–96. 35 indexed citations
9.
Moore, Tricia, Linda Beltrán, Steve Carbajal, Stephen D. Hursting, & John DiGiovanni. (2012). Energy Balance Modulates Mouse Skin Tumor Promotion through Altered IGF-1R and EGFR Crosstalk. Cancer Prevention Research. 5(10). 1236–1246. 23 indexed citations
10.
DiGiovanni, John, et al.. (2012). Inhibition of mTOR Suppresses UVB-Induced Keratinocyte Proliferation and Survival. Cancer Prevention Research. 5(12). 1394–1404. 53 indexed citations
11.
Rho, Okkyung, et al.. (2011). Rapamycin Is a Potent Inhibitor of Skin Tumor Promotion by 12- O -Tetradecanoylphorbol-13-Acetate. Cancer Prevention Research. 4(7). 1011–1020. 52 indexed citations
12.
Yang, Guang, Alexei A. Goltsov, Chengzhen Ren, et al.. (2011). Caveolin-1 Upregulation Contributes to c-Myc–Induced High-Grade Prostatic Intraepithelial Neoplasia and Prostate Cancer. Molecular Cancer Research. 10(2). 218–229. 41 indexed citations
13.
Blando, Jorge, Tricia Moore, Stephen D. Hursting, et al.. (2011). Dietary Energy Balance Modulates Prostate Cancer Progression in Hi-Myc Mice. Cancer Prevention Research. 4(12). 2002–2014. 60 indexed citations
14.
Abel, Erika L., Joe M. Angel, Penny K. Riggs, et al.. (2010). Evidence That Gsta4 Modifies Susceptibility to Skin Tumor Development in Mice and Humans. JNCI Journal of the National Cancer Institute. 102(21). 1663–1675. 20 indexed citations
15.
Kiguchi, Kaoru, Takuya Kitamura, Tricia Moore, et al.. (2010). Dual Inhibition of Both the Epidermal Growth Factor Receptor and erbB2 Effectively Inhibits the Promotion of Skin Tumors during Two-Stage Carcinogenesis. Cancer Prevention Research. 3(8). 940–952. 10 indexed citations
16.
Clifford, John L. & John DiGiovanni. (2010). The Promise of Natural Products for Blocking Early Events in Skin Carcinogenesis. Cancer Prevention Research. 3(2). 132–135. 13 indexed citations
17.
Cheepala, Satish, Cherie‐Ann O. Nathan, John DiGiovanni, et al.. (2009). All-Trans Retinoic Acid Suppresses Stat3 Signaling during Skin Carcinogenesis. Cancer Prevention Research. 2(10). 903–911. 20 indexed citations
18.
Segrelles, Carmen, Jerry Lu, Mirentxu Santos, et al.. (2007). Deregulated Activity of Akt in Epithelial Basal Cells Induces Spontaneous Tumors and Heightened Sensitivity to Skin Carcinogenesis. Cancer Research. 67(22). 10879–10888. 78 indexed citations
19.
He, Guobin, You Me Sung, John DiGiovanni, & Susan M. Fischer. (2006). Thiazolidinediones Inhibit Insulin-Like Growth Factor-I–Induced Activation of p70S6 Kinase and Suppress Insulin-Like Growth Factor-I Tumor-Promoting Activity. Cancer Research. 66(3). 1873–1878. 48 indexed citations
20.
Rosenberg, Michael P., et al.. (1997). Activation of erbB2 and c-src in phorbol ester-treated mouse epidermis: possible role in mouse skin tumor promotion. Oncogene. 14(12). 1435–1444. 52 indexed citations

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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