Gary M. Tse

19.5k citations
324 papers · 11.4k indexed · 4 hit papers · h-index 57
Topics
Breast Lesions and Carcinomas (122 papers)Cancer and Skin Lesions (83 papers)Breast Cancer Treatment Studies (75 papers)
Journals
SHILAP Revista de lepidopterologíaCancerOncogene
Partner nations
Hong KongChinaSingapore

In The Last Decade

Gary M. Tse

312 papers receiving 11.1k citations

Hit Papers

Breast cancer prognostic classification in the molecular ...20102026201520202010201020192024200400600

Peers

Gary M. Tse
Comparison fields: 5 of 157
  • Oncology 3.6k
  • Pathology and Forensic Medicine 3.5k
  • Cancer Research 3.4k
  • Molecular Biology 2.4k
  • Dermatology 2.1k
Replace Gaetano De Rosa with:
Gaetano De Rosa Italy
Fernando Schmitt Portugal
Sandrine Faivre France
William H. Westra United States
Harold J. Wanebo United States
Isabella Sperduti Italy
Barbara A. Pockaj United States
Robert A. Soslow United States
Charles L. Vogel United States
Harry Hollema Netherlands
Gary M. Tse relative to Gaetano De Rosa Italy Gaetano De Rosa's profile →
Citations per field
00.5×5.5×
Gaetano De Rosa · 1×
Citations per year

Countries citing papers authored by Gary M. Tse

Since Specialization
Citations

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

Fields of papers citing papers by Gary M. Tse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary M. Tse. 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 Gary M. Tse. The network helps show where Gary M. Tse may publish in the future.

Co-authorship network of co-authors of Gary M. Tse

This figure shows the co-authorship network connecting the top 25 collaborators of Gary M. Tse. A scholar is included among the top collaborators of Gary M. Tse based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gary M. Tse. Gary M. Tse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 0
5 7
6 3
7 1
8 1
9 12
10 0
11 14
12 8
13 3
14 5
15 62
16 17
17 12
18 33
19 9
20 53

About Gary M. Tse

Gary M. Tse is a scholar working on Dermatology, Pathology and Forensic Medicine and Cancer Research, having authored 324 papers that have together received 11.4k indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (122 papers), Cancer and Skin Lesions (83 papers) and Breast Cancer Treatment Studies (75 papers). The work is most often cited by research in Dermatology (2.1k citations), Cancer Research (3.4k citations) and Pathology and Forensic Medicine (3.5k citations). Gary M. Tse has collaborated with scholars based in Hong Kong, China and Singapore. Frequent co-authors include Julia Y. Tsang, Puay Hoon Tan, Ann D. King, Anil T. Ahuja, Bonita K.B. Law, Philip C.W. Lui, Yun‐Bi Ni, Thomas Choudary Putti, Alexander C. Vlantis and Wei Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer and Oncogene.

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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