William Tse

4.3k citations
71 papers · 3.2k indexed · 1 hit paper · h-index 24

William Tse

66 papers receiving 3.2k citations

Hit Papers

Suppression of allogeneic T-cell proliferation by human m...1.2k20032026201020182505007501000

Peers

William Tse
Comparison fields: 5 of 113
  • Genetics 1.4k
  • Hematology 649
  • Physiology 1.1k
  • Cell Biology 334
  • Transplantation 49
Replace David M. Bodine with:
David M. Bodine United States
Eric E. Bouhassira United States
Kohichiro Tsuji Japan
Katsutoshi Ozaki Japan
Ryan Reca United States
Mark S. Dooner United States
Gerald A. Colvin United States
Virginia C. Broudy United States
Christopher D. Porada United States
Claudia Lengerke Germany
William Tse relative to David M. Bodine United States David M. Bodine's profile →
Citations per field
00.5×2.9×
David M. Bodine · 1×
Citations per year

Countries citing papers authored by William Tse

Since Specialization
Citations

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

Fields of papers citing papers by William Tse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20236
2 20183
3 20174
4 20170
5 20172
6 20170
7 201510
8 200951
9 200841
10 20051
11 20050
12 20057
13
Suppression of allogeneic T-cell proliferation by human marrow stromal cells: implications in transplantationbreakdown →
20031192
14 200148
15 1999219
16 199715
17 199352
18 199234
19 199090
20 1990161

About William Tse

William Tse is a scholar working on Hematology, Genetics, Physiology, Transplantation and Pulmonary and Respiratory Medicine, having authored 71 papers that have together received 3.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (22 papers), Erythrocyte Function and Pathophysiology (19 papers), Acute Myeloid Leukemia Research (17 papers), Blood properties and coagulation (13 papers), Acute Lymphoblastic Leukemia research (9 papers), Neonatal Respiratory Health Research (6 papers), Hemoglobinopathies and Related Disorders (5 papers) and Pancreatic function and diabetes (5 papers). The work is most often cited by research in Genetics (1.4k citations), Hematology (649 citations), Physiology (1.1k citations), Cell Biology (334 citations) and Transplantation (49 citations). William Tse has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Eva C. Guinan, John D. Pendleton, Samuel E. Lux, Bernard G. Forget, A L Scarpa, Morris Kletzel, David A. Jacobsohn, Patrick G. Gallagher, Reggie Duerst and V. Marchesi. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Journal of Clinical Investigation, Journal of Biological Chemistry and British Journal of Haematology.

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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