Gregory H. Enders
Impact in
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- Regulation of Appetite and Obesity
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Angiogenesis and VEGF in Cancer 1
- Ubiquitin and proteasome pathways 1
- Protein Degradation and Inhibitors 1
- Oncology 3
- Cancer-related Molecular Pathways 2
- Clusterin in disease pathology 1
- Co-authors
- Debra G. Silberg (1 shared paper)Ronadip R. Banerjee (1 shared paper)Mitchell A. Lazar (1 shared paper)Elizabeth Brown (1 shared paper)Christopher M. Wright (1 shared paper)Charlotte Y. Dai (1 shared paper)Xiaoming Wen (1 shared paper)Claire M. Steppan (1 shared paper)
- Journals
- Cancer Biology & Therapy (3 papers)Proceedings of the National Academy of Sciences (1 paper)American Journal of Clinical Pathology (1 paper)Oncogene (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Gregory H. Enders
8 papers receiving 1.0k citations
Gregory H. Enders's Hit Papers
Peers
Comparison fields: 5 of 85
- Endocrine and Autonomic Systems 128
- Cancer Research 210
- Epidemiology 366
- Physiology 238
- Molecular Biology 371
Countries citing papers authored by Gregory H. Enders
This map shows the geographic impact of Gregory H. Enders'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 Gregory H. Enders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory H. Enders more than expected).
Fields of papers citing papers by Gregory H. Enders
This network shows the impact of papers produced by Gregory H. Enders. 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 Gregory H. Enders. The network helps show where Gregory H. Enders may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory H. Enders, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A family of tissue-specific resistin-like molecules Hit paper breakdown → | 2001 | 554 |
| 2 | 2010 | 230 | |
| 3 | Telomerase induces immortalization of human esophageal keratinocytes without p16INK4a inactivation. | 2003 | 172 |
| 4 | 2004 | 45 | |
| 5 | 2007 | 31 | |
| 6 | 1990 | 6 | |
| 7 | 2008 | 4 | |
| 8 | 2006 | 1 |
About Gregory H. Enders
Gregory H. Enders is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Epidemiology, having authored 8 papers that have together received 1.0k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (2 papers), Cancer-related Molecular Pathways (2 papers), Angiogenesis and VEGF in Cancer (1 paper), Ubiquitin and proteasome pathways (1 paper), Inflammation biomarkers and pathways (1 paper), Protein Degradation and Inhibitors (1 paper), Clusterin in disease pathology (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (128 citations), Cancer Research (210 citations), Epidemiology (366 citations), Physiology (238 citations) and Molecular Biology (371 citations). Gregory H. Enders has collaborated with scholars based in United States and Germany. Frequent co-authors include Debra G. Silberg, Ronadip R. Banerjee, Mitchell A. Lazar, Elizabeth Brown, Christopher M. Wright, Charlotte Y. Dai, Xiaoming Wen, Claire M. Steppan, Gary D. Wu and Hiroshi Nakagawa. Their work appears in journals such as Cancer Biology & Therapy, Proceedings of the National Academy of Sciences, American Journal of Clinical Pathology, Oncogene and Cancer Research.
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.