J. R. Marks

1.4k citations
7 papers · 728 · h-index 6

Impact in

    • Ovarian cancer diagnosis and treatment
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer-related Molecular Pathways

Papers in

J. R. Marks

7 papers receiving 712 citations

Peers

J. R. Marks
Comparison fields: 5 of 58
  • Reproductive Medicine 183
  • Oncology 375
  • Cancer Research 203
  • Molecular Biology 407
  • Endocrinology, Diabetes and Metabolism 84
Replace Tsutomu Imai with:
Tsutomu Imai Japan
Clara Salamanca Canada
Tang Bu-jian China
Daniel S. Kong United States
Yinhua Yu China
Oded Kopper Israel
Jörg Weimer Germany
W. H. Miller United States
Song Yi Ko United States
Huan Dong United States
J. R. Marks relative to Tsutomu Imai Japan Tsutomu Imai's profile →
Citations per field
00.5×3.8×
Tsutomu Imai · 1×
Citations per year

Countries citing papers authored by J. R. Marks

Since Specialization
Citations

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

Fields of papers citing papers by J. R. Marks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. R. Marks. 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 J. R. Marks. The network helps show where J. R. Marks may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2008348
2
M6P/IGF2 receptor: a candidate breast tumor suppressor gene.
1996174
3 1992129
4 200660
5
Dominance of wild-type p53-mediated transcriptional activation in breast epithelial cells.
19968
6 20068
7 20061

About J. R. Marks

J. R. Marks is a scholar working on Reproductive Medicine, Pathology and Forensic Medicine, Molecular Biology, Oncology and Cardiology and Cardiovascular Medicine, having authored 7 papers that have together received 728 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (4 papers), Cancer Mechanisms and Therapy (2 papers), MicroRNA in disease regulation (1 paper), Endometriosis Research and Treatment (1 paper), Genetic factors in colorectal cancer (1 paper), Cancer-related Molecular Pathways (1 paper), Cancer Research and Treatments (1 paper) and Mechanisms of cancer metastasis (1 paper). The work is most often cited by research in Reproductive Medicine (183 citations), Oncology (375 citations), Cancer Research (203 citations), Molecular Biology (407 citations) and Endocrinology, Diabetes and Metabolism (84 citations). J. R. Marks has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Rex C. Bentley, Regina S. Whitaker, Zhiqing Huang, P. Convery, Seiichi Mori, Tsukasa Baba, Susan K. Murphy, Eiji Kondoh, Tjörvi E. Perry and Noriomi Matsumura. Their work appears in journals such as International Journal of Gynecological Cancer, JNCI Journal of the National Cancer Institute, Oncogene and PubMed.

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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