Eric Tse

8.7k citations
113 papers · 4.9k · 1 hit paper · h-index 36

Impact in

Papers in

Eric Tse

109 papers receiving 4.9k 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 · 368 citations
3680+3+6Years since publication100200300

Peers

Eric Tse
Comparison fields: 5 of 120
  • Pathology and Forensic Medicine 1.8k
  • Oncology 1.8k
  • Immunology 1.3k
  • Genetics 353
  • Hematology 363
Replace Satoshi Fujii with:
Satoshi Fujii Japan
Christophe Guignabert France
Takesada Mori Japan
Catherine Wheeler United States
Adam Lerner United States
Muh‐Hwa Yang Taiwan
Steven H. Bernstein United States
Tetsuji Sawada Japan
Sachio Fushida Japan
Eric Tse relative to Satoshi Fujii Japan Satoshi Fujii's profile →
Citations per field
00.5×5.0×
Satoshi Fujii · 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 113 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 →
2017368
2 2016351
3 2012301
4 2017217
5 2013210
6 2004204
7 2005191
8 1999158
9 2010146
10 2012124
11 2006111
12 2006108
13 2017108
14 201598
15 201393
16 200490
17 200586
18 200282
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 113 papers that have together received 4.9k 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 (16 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 (8 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.8k citations), Oncology (1.8k citations), Immunology (1.3k citations), Genetics (353 citations) and Hematology (363 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, Joanne Wing Yan Chiu, Thomas Yau, Gerry Gin Wai Kwok, 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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