Gregory H. Enders

1.2k total citations · 1 hit paper
8 papers, 1.0k citations indexed

About

Gregory H. Enders is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Gregory H. Enders has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Gregory H. Enders's work include Cancer-related Molecular Pathways (2 papers), Telomeres, Telomerase, and Senescence (2 papers) and RNA modifications and cancer (1 paper). Gregory H. Enders is often cited by papers focused on Cancer-related Molecular Pathways (2 papers), Telomeres, Telomerase, and Senescence (2 papers) and RNA modifications and cancer (1 paper). Gregory H. Enders collaborates with scholars based in United States and Germany. Gregory H. Enders's co-authors include Charlotte Y. Dai, Gary D. Wu, Debra G. Silberg, Elizabeth Brown, Mitchell A. Lazar, Xiaoming Wen, Christopher M. Wright, Claire M. Steppan, Ronadip R. Banerjee and Claudia D. Andl and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Oncogene.

In The Last Decade

Gregory H. Enders

8 papers receiving 987 citations

Hit Papers

A family of tissue-specif... 2001 2026 2009 2017 2001 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gregory H. Enders United States 6 402 375 266 220 154 8 1.0k
Charlotte Y. Dai United States 8 320 0.8× 420 1.1× 337 1.3× 79 0.4× 154 1.0× 8 954
Joseph A. Sennello United States 17 452 1.1× 349 0.9× 130 0.5× 49 0.2× 114 0.7× 20 1.1k
Reba Condiotti Israel 12 448 1.1× 102 0.3× 474 1.8× 97 0.4× 61 0.4× 27 1.1k
Keiko Danzaki Japan 12 251 0.6× 221 0.6× 107 0.4× 78 0.4× 33 0.2× 20 849
Eduardo Martínez-Soria Switzerland 15 238 0.6× 289 0.8× 136 0.5× 61 0.3× 186 1.2× 21 1.3k
K. A. Wikenheiser United States 13 683 1.7× 363 1.0× 59 0.2× 173 0.8× 61 0.4× 13 1.3k
Neda Farahi United Kingdom 17 375 0.9× 148 0.4× 275 1.0× 432 2.0× 32 0.2× 30 1.5k
Daisuke Yamaji Japan 13 289 0.7× 106 0.3× 70 0.3× 95 0.4× 41 0.3× 21 648
Amanda A. Watkins United States 9 219 0.5× 248 0.7× 145 0.5× 87 0.4× 18 0.1× 12 884

Countries citing papers authored by Gregory H. Enders

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Gregory H. Enders

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory H. Enders. A scholar is included among the top collaborators of Gregory H. Enders based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gregory H. Enders. Gregory H. Enders is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Dews, Michael, Stacy Hultine, Wenge Wang, et al.. (2010). The Myc–miR-17∼92 Axis Blunts TGFβ Signaling and Production of Multiple TGFβ-Dependent Antiangiogenic Factors. Cancer Research. 70(20). 8233–8246. 220 indexed citations
2.
Enders, Gregory H., et al.. (2008). Adenomatous Polyposis Coli mutations in colon cancer: Slipping off the brake and onto the gas pedal. Cancer Biology & Therapy. 7(4). 485–487. 4 indexed citations
3.
Eichhorn, Martin, Sebastian Strieth, A. Papyan, et al.. (2007). Cationic lipid complexed camptothecin (EndoTAG®-2) improves antitumoral efficacy by tumor vascular targeting. Cancer Biology & Therapy. 6(6). 920–929. 29 indexed citations
4.
Enders, Gregory H., et al.. (2006). Ubiquitination of Myc: Flipping the switch. Cancer Biology & Therapy. 5(8). 907–908. 1 indexed citations
5.
Takaoka, Munenori, Hideki Harada, Thérèse B. Deramaudt, et al.. (2004). Ha-RasG12V induces senescence in primary and immortalized human esophageal keratinocytes with p53 dysfunction. Oncogene. 23(40). 6760–6768. 45 indexed citations
6.
Harada, Hideki, Hiroshi Nakagawa, Kenji Oyama, et al.. (2003). Telomerase induces immortalization of human esophageal keratinocytes without p16INK4a inactivation.. PubMed. 1(10). 729–38. 170 indexed citations
7.
Steppan, Claire M., Elizabeth Brown, Christopher M. Wright, et al.. (2001). A family of tissue-specific resistin-like molecules. Proceedings of the National Academy of Sciences. 98(2). 502–506. 531 indexed citations breakdown →
8.
Ridker, Paul M., Gregory H. Enders, & Richard P. Lifton. (1990). False Positive Mononucleosis Screening Test Results Associated with Klebsiella Hepatic Abscess. American Journal of Clinical Pathology. 94(2). 222–223. 6 indexed citations

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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