Gerald Tan

621 citations
23 papers · 462 · h-index 14

Impact in

Papers in

Gerald Tan

23 papers receiving 439 citations

Peers

Gerald Tan
Comparison fields: 5 of 39
  • Pulmonary and Respiratory Medicine 301
  • Urology 33
  • Biophysics 21
  • Surgery 106
  • Medical Laboratory Technology 1
Replace Aaron H. Q. Lay with:
Aaron H. Q. Lay United States
Ketul K. Shah United States
Nicholas Stroumbakis United States
Simone Assumma Italy
FERDINAND EISENBERGER Germany
Willem M. de Blok Netherlands
Sey Kiat Lim South Korea
William Chu United States
Ersin Köseoğlu Türkiye
Saadettin Eskiçorapçı Türkiye
Gerald Tan relative to Aaron H. Q. Lay United States Aaron H. Q. Lay's profile →
Citations per field
00.5×2×3×3.5×
Aaron H. Q. Lay · 1×
Citations per year

Countries citing papers authored by Gerald Tan

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200955
2 201053
3 201051
4 200947
5 200939
6 200833
7 201027
8 201022
9 200921
10 200320
11 200918
12 201918
13 200917
14 200814
15 20047
16 20096
17 20105
18 20124
19 20101
20 20101

About Gerald Tan

Gerald Tan is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Biophysics, Urology and Obstetrics and Gynecology, having authored 23 papers that have together received 462 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (16 papers), Minimally Invasive Surgical Techniques (2 papers), Hernia repair and management (1 paper), Optical Imaging and Spectroscopy Techniques (1 paper), Urinary Bladder and Prostate Research (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper), Sarcoma Diagnosis and Treatment (1 paper) and Pelvic floor disorders treatments (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (301 citations), Urology (33 citations), Biophysics (21 citations), Surgery (106 citations) and Medical Laboratory Technology (1 citation). Gerald Tan has collaborated with scholars based in United States, Singapore and Japan. Frequent co-authors include Ashutosh Kumar Tewari, Jay K. Jhaveri, Abhishek Srivastava, Sonal Grover, Rajesh Kumar Goel, Rajiv Yadav, Jihad H. Kaouk, Alexis E. Te, Derya Tilki and Robert A. Leung. Their work appears in journals such as Journal of Endourology, British Journal of Urology, Current Urology Reports, Current Opinion in Urology and Urologic Oncology Seminars and Original Investigations.

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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