Eric Tse

8.7k citations
112 papers · 4.8k · 1 hit paper · h-index 36

Impact in

Papers in

Eric Tse

107 papers receiving 4.8k citations

Eric Tse's Hit Papers

PD1 blockade with pembrolizumab is highly effective in relapsed or refractory NK/T-cell lymphoma failing l-asparaginase 2017 · 366 citations
3660+3+6Years since publication100200300

Peers

Eric Tse
Comparison fields: 5 of 117
  • Pathology and Forensic Medicine 1.8k
  • Oncology 1.8k
  • Immunology 1.2k
  • Genetics 340
  • Hematology 350
Replace Yasuhiko Kitadai with:
Yasuhiko Kitadai Japan
Satoshi Fujii Japan
Takesada Mori Japan
Steven H. Bernstein United States
Catherine Wheeler United States
Adam Lerner United States
Sachio Fushida Japan
Muh‐Hwa Yang Taiwan
Michael Hejna Austria
Eric Tse relative to Yasuhiko Kitadai Japan Yasuhiko Kitadai's profile →
Citations per field
00.5×2.9×
Yasuhiko Kitadai · 1×
Citations per year

Countries citing papers authored by Eric Tse

Since Specialization
Citations

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

Fields of papers citing papers by Eric Tse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1
PD1 blockade with pembrolizumab is highly effective in relapsed or refractory NK/T-cell lymphoma failing l-asparaginase
Hit paper breakdown →
2017366
2 2016345
3 2012297
4 2017214
5 2013207
6 2004191
7 2005181
8 1999152
9 2010141
10 2012117
11 2006107
12 2017106
13 2006105
14 201598
15 201390
16 200485
17 200584
18 200281
19 200472
20 201068

About Eric Tse

Eric Tse is a scholar working on Oncology, Pathology and Forensic Medicine, Molecular Biology, Immunology and Hematology, having authored 112 papers that have together received 4.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (39 papers), Viral-associated cancers and disorders (26 papers), Chronic Lymphocytic Leukemia Research (15 papers), Immune Cell Function and Interaction (14 papers), Signaling Pathways in Disease (13 papers), Retinoids in leukemia and cellular processes (8 papers), Peptidase Inhibition and Analysis (8 papers) and Acute Myeloid Leukemia Research (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.8k citations), Oncology (1.8k citations), Immunology (1.2k citations), Genetics (340 citations) and Hematology (350 citations). Eric Tse has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Yok‐Lam Kwong, Anskar Y.H. Leung, Terence H. Rabbitts, Seok Jin Kim, Chor Sang Chim, Gerry Gin Wai Kwok, Joanne Wing Yan Chiu, Thomas Yau, Chi-Wai Cheng and Roberta Pang. Their work appears in journals such as Blood, Annals of Hematology, Bone Marrow Transplantation, American Journal of Hematology and Journal of Hematology & Oncology.

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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