David C. Gee

566 citations
10 papers · 502 · h-index 7

Impact in

  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
    • Ovarian cancer diagnosis and treatment

Papers in

David C. Gee

10 papers receiving 466 citations

Peers

David C. Gee
Comparison fields: 5 of 34
  • Nephrology 247
  • Reproductive Medicine 55
  • Rheumatology 46
  • Immunology and Allergy 13
  • Epidemiology 79
Replace Kwang Sun Suh with:
Kwang Sun Suh South Korea
Jörg Neuweiler Switzerland
Shin Okuyama Japan
Nick Topley United Kingdom
Cesira Cafiero Italy
A Fornasieri Italy
Michel Goldman Belgium
D Belghiti France
K. M. Newbold United Kingdom
A. Bernard Collins United States
David C. Gee relative to Kwang Sun Suh South Korea Kwang Sun Suh's profile →
Citations per field
00.5×2×4×6.5×
Kwang Sun Suh · 1×
Citations per year

Countries citing papers authored by David C. Gee

Since Specialization
Citations

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

Fields of papers citing papers by David C. Gee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David C. Gee. 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 David C. Gee. The network helps show where David C. Gee may publish in the future.

Co-authors

The 14 scholars most cited alongside David C. Gee, 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 David C. Gee Line = papers co-authored together David C. Gee links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1987272
2 199286
3
Monoclonal antibody analysis of glomerular hypercellularity in human glomerulonephritis.
198451
4 197935
5 197722
6 198115
7
Unique case of massive ascites, extreme elevation of serum CA 125 tumour marker.
19939
8 19797
9 20073
10
Thymic seminoma and myasthenia gravis.
19852

About David C. Gee

David C. Gee is a scholar working on Reproductive Medicine, Nephrology, Epidemiology, Rheumatology and Neurology, having authored 10 papers that have together received 502 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (3 papers), Renal Diseases and Glomerulopathies (2 papers), Urologic and reproductive health conditions (1 paper), Veterinary Oncology Research (1 paper), Intraperitoneal and Appendiceal Malignancies (1 paper), Neuroendocrine Tumor Research Advances (1 paper), Myasthenia Gravis and Thymoma (1 paper) and Microscopic Colitis (1 paper). The work is most often cited by research in Nephrology (247 citations), Reproductive Medicine (55 citations), Rheumatology (46 citations), Immunology and Allergy (13 citations) and Epidemiology (79 citations). David C. Gee has collaborated with scholars based in Australia. Frequent co-authors include Robert C. Atkins, David Hooke, Pamela Joan Russell, Finlay Macrae, Jane E. Armes, Prithi S. Bhathal, E.S. Finckh, N. Kraft, Wayne W. Hancock and John Miles Little. Their work appears in journals such as Pathology, Journal of Clinical Pathology, Histopathology, Kidney International and Veterinary Record.

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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