Mark J. Hoenerhoff
Impact in
- Cancer Research top 5%
- Carcinogens and Genotoxicity Assessment
- Cancer Genomics and Diagnostics
- Oncology top 10%
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
Papers in
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- Epigenetics and DNA Methylation 8
- DNA Repair Mechanisms 5
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- Carcinogens and Genotoxicity Assessment 9
- Co-authors
- Jeffrey E. Green (4 shared papers)Grace E. Kissling (6 shared papers)Robert C. Sills (20 shared papers)Suzanne E. Fenton (3 shared papers)Lara H. El Touny (1 shared paper)Arnulfo Mendoza (1 shared paper)Chand Khanna (1 shared paper)Goberdhan P. Dimri (3 shared papers)
- Journals
- Toxicologic Pathology (27 papers)Veterinary Pathology (8 papers)The FASEB Journal (3 papers)ASAIO Journal (3 papers)Archives of Toxicology (3 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Mark J. Hoenerhoff
97 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 141
- Cancer Research 284
- Oncology 313
- Small Animals 84
- Environmental Chemistry 107
- Immunology 209
Countries citing papers authored by Mark J. Hoenerhoff
This map shows the geographic impact of Mark J. Hoenerhoff'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 Mark J. Hoenerhoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark J. Hoenerhoff more than expected).
Fields of papers citing papers by Mark J. Hoenerhoff
This network shows the impact of papers produced by Mark J. Hoenerhoff. 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 Mark J. Hoenerhoff. The network helps show where Mark J. Hoenerhoff may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark J. Hoenerhoff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 118 | |
| 2 | 2009 | 86 | |
| 3 | 2007 | 82 | |
| 4 | 2007 | 80 | |
| 5 | 2017 | 78 | |
| 6 | 2014 | 69 | |
| 7 | 2018 | 59 | |
| 8 | 2006 | 53 | |
| 9 | 2014 | 52 | |
| 10 | 2018 | 47 | |
| 11 | 2013 | 43 | |
| 12 | 2011 | 43 | |
| 13 | 2010 | 38 | |
| 14 | 2018 | 38 | |
| 15 | 2018 | 37 | |
| 16 | 2012 | 33 | |
| 17 | 2016 | 32 | |
| 18 | 2019 | 31 | |
| 19 | 2009 | 30 | |
| 20 | 2015 | 29 |
About Mark J. Hoenerhoff
Mark J. Hoenerhoff is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Surgery, having authored 102 papers that have together received 1.8k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (9 papers), Epigenetics and DNA Methylation (8 papers), Cancer Cells and Metastasis (6 papers), DNA Repair Mechanisms (5 papers), Pancreatic function and diabetes (5 papers), Cancer-related Molecular Pathways (5 papers), Birth, Development, and Health (5 papers) and Animal testing and alternatives (5 papers). The work is most often cited by research in Cancer Research (284 citations), Oncology (313 citations), Small Animals (84 citations), Environmental Chemistry (107 citations) and Immunology (209 citations). Mark J. Hoenerhoff has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Jeffrey E. Green, Grace E. Kissling, Robert C. Sills, Suzanne E. Fenton, Lara H. El Touny, Arnulfo Mendoza, Chand Khanna, Goberdhan P. Dimri, Sonal Datta and Matthew F. Starost. Their work appears in journals such as Toxicologic Pathology, Veterinary Pathology, The FASEB Journal, ASAIO Journal and Archives of Toxicology.
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.