John D. Nash

19 papers receiving 582 citations

Peers

John D. Nash
Comparison fields: 5 of 64
  • Reproductive Medicine 208
  • Obstetrics and Gynecology 54
  • Cell Biology 104
  • Oncology 128
  • Cancer Research 64
Replace Jacob McGee with:
Jacob McGee Canada
Marie‐Aude Lefrère‐Belda France
Rudi Henriksen Sweden
Judy Walls United States
Alessandro Bovicelli Italy
Karishma Mehra United States
Ivana Rizzuto United Kingdom
Charles R. Boice United States
Katharina Prieske Germany
Jane Ramsdale United Kingdom
John D. Nash relative to Jacob McGee Canada Jacob McGee's profile →
Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by John D. Nash

Since Specialization
Citations

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

Fields of papers citing papers by John D. Nash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D. Nash. 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 John D. Nash. The network helps show where John D. Nash may publish in the future.

Co-authors

The 25 scholars most cited alongside John D. Nash, 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 John D. Nash Line = papers co-authored together John D. Nash links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
p53 and Ki-ras gene mutations in epithelial ovarian neoplasms.
1993185
2 201788
3 198974
4 201049
5 201443
6 198233
7
A comparison of the three most common Papanicolaou smear collection techniques.
199426
8 199018
9 199515
10 199113
11 199112
12
Diagnosis of recurrent gynecologic malignancy with fine-needle aspiration cytology.
198811
13 19928
14 19877
15 20055
16 19973
17 19893
18
The molecular genetics of gyn malignancies.
19942
19 20141
20 20170

About John D. Nash

John D. Nash is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Oncology, Epidemiology and Surgery, having authored 20 papers that have together received 596 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (6 papers), Endometrial and Cervical Cancer Treatments (4 papers), Cervical Cancer and HPV Research (3 papers), Estrogen and related hormone effects (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Prostate Cancer Treatment and Research (2 papers), Heat shock proteins research (1 paper) and Ureteral procedures and complications (1 paper). The work is most often cited by research in Reproductive Medicine (208 citations), Obstetrics and Gynecology (54 citations), Cell Biology (104 citations), Oncology (128 citations) and Cancer Research (64 citations). John D. Nash has collaborated with scholars based in United States and Canada. Frequent co-authors include Michael Teneriello, R. Ilona Linnoila, M. J. Birrer, Michael D. Henry, Masahito Ebina, David J. Carey, Radhika Gogoi, Virginia Mazack, Robert F. Ozols and John F. Smyth. Their work appears in journals such as Gynecologic Oncology, Journal of Hematology & Oncology, Journal of Clinical Oncology, American Journal of Obstetrics and Gynecology and International Journal of Gynecology & Obstetrics.

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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