Eric Tse

8.7k citations
141 papers · 7k · 3 hit papers · h-index 41

Impact in

Papers in

Eric Tse

139 papers receiving 6.8k citations

Eric Tse's Hit Papers

Genetic and Functional Drivers of Diffuse Large B Cell Lymphoma 2017 · 856 citations
8560+4+9Years since publication250500750

Peers

Eric Tse
Comparison fields: 5 of 112
  • Pathology and Forensic Medicine 2.8k
  • Oncology 1.5k
  • Internal Medicine 151
  • Hematology 422
  • Genetics 173
Replace Ronit Elhasid with:
Ronit Elhasid Israel
Kiyohiko Hatake Japan
Johannes W. Drach Austria
Finbarr E. Cotter United Kingdom
Daniel Neureiter Austria
Po‐Min Chen Taiwan
Satoshi Fujii Japan
Mitchell A. Olman United States
Raffaele De Palma Italy
Toshiro Nagasawa Japan
Eric Tse relative to Ronit Elhasid Israel Ronit Elhasid's profile →
Citations per field
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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 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genetic and Functional Drivers of Diffuse Large B Cell Lymphoma
Hit paper breakdown →
2017856
2
PD1 blockade with pembrolizumab is highly effective in relapsed or refractory NK/T-cell lymphoma failing l-asparaginase
Hit paper breakdown →
2017415
3 2016389
4
SMILE for natural killer/T-cell lymphoma: analysis of safety and efficacy from the Asia Lymphoma Study Group
Hit paper breakdown →
2012354
5 2013239
6 2017236
7 2004207
8 2005194
9 1999160
10 2010155
11 2017141
12 2012132
13 2017126
14 2017118
15 2006112
16 2006110
17 2013107
18 2015101
19 201795
20 200491

About Eric Tse

Eric Tse is a scholar working on Pathology and Forensic Medicine, Hematology, Oncology, Internal Medicine and Genetics, having authored 141 papers that have together received 7k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (50 papers), Viral-associated cancers and disorders (21 papers), Retinoids in leukemia and cellular processes (10 papers), Chronic Lymphocytic Leukemia Research (9 papers), Acute Myeloid Leukemia Research (8 papers), Signaling Pathways in Disease (8 papers), Venous Thromboembolism Diagnosis and Management (7 papers) and Hematopoietic Stem Cell Transplantation (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.8k citations), Oncology (1.5k citations), Internal Medicine (151 citations), Hematology (422 citations) and Genetics (173 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, Thomas S. Y. Chan, Chor Sang Chim, Seok Jin Kim, Terence Howard Rabbitts, Gin Wai Kwok, Thomas Chung Cheung Yau, Joanne Wing Yan Chiu and Florence Loong. Their work appears in journals such as Annals of Hematology, Blood, Leukemia, Bone Marrow Transplantation 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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