J. Michael Mathis

6.9k citations
146 papers · 6.0k · h-index 44

Impact in

Papers in

    • Virus-based gene therapy research 33
    • Estrogen and related hormone effects 10
    • Viral Infectious Diseases and Gene Expression in Insects 12
    • RNA Interference and Gene Delivery 8

J. Michael Mathis

143 papers receiving 5.8k citations

Peers

J. Michael Mathis
Comparison fields: 5 of 141
  • Genetics 1.5k
  • Endocrinology, Diabetes and Metabolism 712
  • Oncology 1.1k
  • Genetics 364
  • Pathology and Forensic Medicine 588
Replace Lothar Schweigerer with:
Lothar Schweigerer Germany
Pirkko Vihko Finland
Akira Ooshima Japan
Pirkko Härkönen Finland
Jean‐Claude Chambard France
Lawrence Chan United States
Ambra Pozzi United States
Seong‐Jin Kim South Korea
Christian Gespach France
Gianfranco Alpini United States
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Citations per year

Countries citing papers authored by J. Michael Mathis

Since Specialization
Citations

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

Fields of papers citing papers by J. Michael Mathis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A transforming growth factor beta receptor type II gene mutation common in colon and gastric but rare in endometrial cancers with microsatellite instability.
1995396
2 1989305
3 2000230
4 2008208
5
Aberrant methylation during cervical carcinogenesis.
2001185
6 2007171
7 1993170
8 1997168
9 1999148
10 2003135
11 1992133
12 1994122
13 1991114
14 2008111
15 1988107
16 2005101
17 200298
18 201691
19 199676
20 199776

About J. Michael Mathis

J. Michael Mathis is a scholar working on Genetics, Molecular Biology, Oncology, Surgery and Neurology, having authored 146 papers that have together received 6.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (33 papers), CAR-T cell therapy research (13 papers), Viral Infectious Diseases and Gene Expression in Insects (12 papers), Cancer Research and Treatments (10 papers), Estrogen and related hormone effects (10 papers), Hormonal Regulation and Hypertension (9 papers), Pharmacogenetics and Drug Metabolism (9 papers) and RNA Interference and Gene Delivery (8 papers). The work is most often cited by research in Genetics (1.5k citations), Endocrinology, Diabetes and Metabolism (712 citations), Oncology (1.1k citations), Genetics (364 citations) and Pathology and Forensic Medicine (588 citations). J. Michael Mathis has collaborated with scholars based in United States, Germany and France. Frequent co-authors include William E. Rainey, David T. Curiel, Stephen M. Belkoff, Ángel A. Rivera, Mariam A. Stoff‐Khalili, Vincenzo Pezzi, Ian M. Bird, Kim Orth, Ronald N. Hines and Jacques E. Dion. Their work appears in journals such as American Journal of Neuroradiology, PLoS ONE, Gynecologic Oncology, Journal of Surgical Research and Archives of Biochemistry and Biophysics.

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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