David Nicol

12.3k citations
65 papers · 1.5k · h-index 23

Impact in

    • Renal Transplantation Outcomes and Treatments
    • Cancer Genomics and Diagnostics
    • Cancer, Hypoxia, and Metabolism

Papers in

David Nicol

63 papers receiving 1.4k citations

Peers

David Nicol
Comparison fields: 5 of 107
  • Transplantation 86
  • Cancer Research 296
  • Oncology 455
  • Pulmonary and Respiratory Medicine 506
  • Molecular Biology 636
Replace Yasuyuki Kojima with:
Yasuyuki Kojima Japan
Philip Y. Wai United States
Piotr Czauderna Poland
J. Plaschkes Switzerland
Jonas Busch Germany
Ulrika Stierner Sweden
Andrew R. Allen United States
Francisco Ayala Spain
Kristen A. Marrone United States
Amy M. Lehman United States
David Nicol relative to Yasuyuki Kojima Japan Yasuyuki Kojima's profile →
Citations per field
00.5×1.7×
Yasuyuki Kojima · 1×
Citations per year

Countries citing papers authored by David Nicol

Since Specialization
Citations

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

Fields of papers citing papers by David Nicol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003155
2
Vascular endothelial growth factor expression is increased in renal cell carcinoma.
1997123
3 2000103
4 199797
5 200385
6 201374
7 200168
8 200746
9 199844
10 200335
11 200434
12 200132
13 200332
14 201132
15 201731
16 200431
17 200829
18 200329
19 200228
20 200728

About David Nicol

David Nicol is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Molecular Biology, Oncology and Cancer Research, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (11 papers), Testicular diseases and treatments (10 papers), Renal and related cancers (9 papers), Prostate Cancer Treatment and Research (8 papers), Prostate Cancer Diagnosis and Treatment (6 papers), Cancer Genomics and Diagnostics (5 papers), Urologic and reproductive health conditions (5 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers). The work is most often cited by research in Transplantation (86 citations), Cancer Research (296 citations), Oncology (455 citations), Pulmonary and Respiratory Medicine (506 citations) and Molecular Biology (636 citations). David Nicol has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Judith A. Clements, Fiona K. Rae, Bin Tean Teh, D. C. Gotley, Les Thompson, Su-Ing Hii, Michael D. Walsh, Sally‐Anne Stephenson, Carmel M. Hawley and John D. Hooper. Their work appears in journals such as British Journal of Urology, Journal of Clinical Oncology, The Journal of Urology, Transplantation and Biological Chemistry.

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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