George E. Farmer

38 papers receiving 2.2k citations

George E. Farmer's Hit Papers

Wild-type p53 activates transcription in vitro 1992 · 518 citations
5180+11+22Years since publication100200300400500

Peers

George E. Farmer
Comparison fields: 5 of 92
  • Oncology 806
  • Obstetrics and Gynecology 197
  • Biotechnology 204
  • Neurology 290
  • Biological Psychiatry 46
Replace Daniela Virgintino with:
Daniela Virgintino Italy
Michelle Russell United States
Mariella Errede Italy
John Carter United States
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Motoshige Kudo Japan
Ameae M. Walker United States
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Dong‐Ming Su United States
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Citations per year

Countries citing papers authored by George E. Farmer

Since Specialization
Citations

This map shows the geographic impact of George E. Farmer'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 George E. Farmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George E. Farmer more than expected).

Fields of papers citing papers by George E. Farmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George E. Farmer. 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 George E. Farmer. The network helps show where George E. Farmer may publish in the future.

Co-authors

The 25 scholars most cited alongside George E. Farmer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with George E. Farmer Line = papers co-authored together George E. Farmer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Wild-type p53 activates transcription in vitro
Hit paper breakdown →
1992518
2 1990322
3
Macrosomy despite well-controlled diabetic pregnancy.
1984224
4 1989126
5 2020119
6 1993109
7 2003102
8 199693
9 202184
10 201179
11 199664
12 198850
13 201345
14 199531
15 201222
16
Xenopus laevis p53 protein: sequence-specific DNA binding, transcriptional regulation and oligomerization are evolutionarily conserved.
199519
17 201917
18 200716
19 201915
20 199415

About George E. Farmer

George E. Farmer is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Physiology, Social Psychology and Cognitive Neuroscience, having authored 42 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (8 papers), Neuroendocrine regulation and behavior (7 papers), Sleep and Wakefulness Research (6 papers), Obstructive Sleep Apnea Research (6 papers), Cancer-related Molecular Pathways (5 papers), Stress Responses and Cortisol (4 papers), RNA modifications and cancer (3 papers) and Neurofibromatosis and Schwannoma Cases (3 papers). The work is most often cited by research in Oncology (806 citations), Obstetrics and Gynecology (197 citations), Biotechnology (204 citations), Neurology (290 citations) and Biological Psychiatry (46 citations). George E. Farmer has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Carol Prives, Ron Prywes, Hua Zhu, Jill Bargonetti, Paula N. Friedman, Richard Y. Chung, Anil G. Menon, Vincent M. Riccardi, Richard N. Freiman and Jean M. Whaley. Their work appears in journals such as American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Journal of Neuroendocrinology, Molecular and Cellular Biology, Journal of Neurophysiology and Proceedings of the National Academy of Sciences.

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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