Gregory H. Enders

1.2k citations
8 papers · 1.0k indexed · 1 hit paper · h-index 6
Topics
Cancer-related Molecular Pathways (2 papers)Telomeres, Telomerase, and Senescence (2 papers)Inflammation biomarkers and pathways (1 paper)
Partner nations
United StatesGermany

In The Last Decade

Gregory H. Enders

8 papers receiving 987 citations

Hit Papers

A family of tissue-specific resistin-like molecules20012026200920172001100200300400500

Peers

Gregory H. Enders
Comparison fields: 5 of 87
  • Molecular Biology 402
  • Epidemiology 375
  • Physiology 266
  • Cancer Research 220
  • Endocrine and Autonomic Systems 154
Replace Charlotte Y. Dai with:
Charlotte Y. Dai United States
Joseph A. Sennello United States
K. A. Wikenheiser United States
Eduardo Martínez-Soria Switzerland
Reba Condiotti Israel
Keiko Danzaki Japan
Neda Farahi United Kingdom
Julien Giron‐Michel France
Jessica A. Allen United States
Gregory H. Enders relative to Charlotte Y. Dai United States Charlotte Y. Dai's profile →
Citations per field
00.5×2.8×
Charlotte Y. Dai · 1×
Citations per year

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
#WorkIndexed citations
1 220
2 4
3 29
4 1
5 45
6
Telomerase induces immortalization of human esophageal keratinocytes without p16INK4a inactivation.
170
7
A family of tissue-specific resistin-like moleculesbreakdown →
531
8 6

About Gregory H. Enders

Gregory H. Enders is a scholar working on Cancer Research, Genetics and Biotechnology, having authored 8 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (2 papers), Telomeres, Telomerase, and Senescence (2 papers) and Inflammation biomarkers and pathways (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (154 citations), Cancer Research (220 citations) and Epidemiology (375 citations). Gregory H. Enders has collaborated with scholars based in United States and Germany. Frequent co-authors include Gary D. Wu, Christopher M. Wright, Claire M. Steppan, Elizabeth Brown, Debra G. Silberg, Mitchell A. Lazar, Ronadip R. Banerjee, Xiaoming Wen, Charlotte Y. Dai and Munenori Takaoka. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research and Oncogene.

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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