Mark D. Aupperlee
Impact in
Papers in
- Co-authors
- Sandra Z. Haslam (21 shared papers)Anastasia Kariagina (6 shared papers)Richard C. Schwartz (10 shared papers)Yong Zhao (5 shared papers)Jeffrey R. Leipprandt (4 shared papers)Jessica M. Bennett (2 shared papers)L. Karl Olson (1 shared paper)Ying Tan (1 shared paper)
- Journals
- Endocrinology (7 papers)Breast Cancer Research (3 papers)Advances in experimental medicine and biology (2 papers)Translational Oncology (2 papers)Oncotarget (2 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Mark D. Aupperlee
26 papers receiving 755 citations
Peers
Comparison fields: 5 of 84
- Oncology 383
- Genetics 315
- Cancer Research 155
- Health, Toxicology and Mutagenesis 59
- Reproductive Medicine 34
Countries citing papers authored by Mark D. Aupperlee
This map shows the geographic impact of Mark D. Aupperlee'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 D. Aupperlee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark D. Aupperlee more than expected).
Fields of papers citing papers by Mark D. Aupperlee
This network shows the impact of papers produced by Mark D. Aupperlee. 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 D. Aupperlee. The network helps show where Mark D. Aupperlee may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark D. Aupperlee, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 98 | |
| 2 | 2010 | 64 | |
| 3 | 2007 | 62 | |
| 4 | 2008 | 52 | |
| 5 | 2008 | 52 | |
| 6 | 2013 | 52 | |
| 7 | 2007 | 42 | |
| 8 | 2006 | 40 | |
| 9 | 2013 | 38 | |
| 10 | 2009 | 29 | |
| 11 | 2008 | 29 | |
| 12 | 2014 | 29 | |
| 13 | 2002 | 27 | |
| 14 | 2016 | 25 | |
| 15 | 2015 | 22 | |
| 16 | 2020 | 21 | |
| 17 | 2017 | 20 | |
| 18 | 2010 | 19 | |
| 19 | 2002 | 11 | |
| 20 | 2012 | 9 |
About Mark D. Aupperlee
Mark D. Aupperlee is a scholar working on Oncology, Genetics, Cancer Research, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 26 papers that have together received 760 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (13 papers), Cancer Risks and Factors (9 papers), Cancer Cells and Metastasis (7 papers), Ocular Surface and Contact Lens (5 papers), Cancer, Lipids, and Metabolism (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Breast Cancer Treatment Studies (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Oncology (383 citations), Genetics (315 citations), Cancer Research (155 citations), Health, Toxicology and Mutagenesis (59 citations) and Reproductive Medicine (34 citations). Mark D. Aupperlee has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Sandra Z. Haslam, Anastasia Kariagina, Richard C. Schwartz, Yong Zhao, Jeffrey R. Leipprandt, Jessica M. Bennett, L. Karl Olson, Ying Tan, John L. Ubels and Ying Siow Tan. Their work appears in journals such as Endocrinology, Breast Cancer Research, Advances in experimental medicine and biology, Translational Oncology and Oncotarget.
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.