Tin Han

101 papers receiving 2.2k citations

Peers

Tin Han
Comparison fields: 5 of 96
  • Genetics 1.0k
  • Pathology and Forensic Medicine 933
  • Immunology 902
  • Hematology 403
  • Oncology 576
Replace Bernard Rio with:
Bernard Rio France
R Clift United States
Geoffrey P. Herzig United States
G. Hamilton Fairley United Kingdom
A. G. Prentice United Kingdom
Åke Öst Sweden
Günther Gastl Austria
Leonard Ellman United States
Isidro Jarque Spain
I. C. M. Maclennan United Kingdom
Tin Han relative to Bernard Rio France Bernard Rio's profile →
Citations per field
00.5×1.5×1.9×
Bernard Rio · 1×
Citations per year

Countries citing papers authored by Tin Han

Since Specialization
Citations

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

Fields of papers citing papers by Tin Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987202
2 1984145
3 1973125
4
Whole-blood culture technique for functional studies of lymphocyte reactivity to mitogens, antigens, and homologous lymphocytes.
1973122
5 1970110
6 1966104
7 1967104
8 197297
9 197478
10 199051
11 197951
12 198048
13 198247
14 196743
15
Prognostic significance of karyotypic abnormalities in B cell chronic lymphocytic leukemia: an update.
198740
16 198237
17 197236
18 197135
19 197933
20 197629

About Tin Han

Tin Han is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Oncology and Hematology, having authored 101 papers that have together received 2.6k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (47 papers), Lymphoma Diagnosis and Treatment (44 papers), Immunodeficiency and Autoimmune Disorders (18 papers), Acute Lymphoblastic Leukemia research (14 papers), Immune Cell Function and Interaction (13 papers), Chronic Myeloid Leukemia Treatments (10 papers), Immunotherapy and Immune Responses (8 papers) and Viral-associated cancers and disorders (8 papers). The work is most often cited by research in Genetics (1.0k citations), Pathology and Forensic Medicine (933 citations), Immunology (902 citations), Hematology (403 citations) and Oncology (576 citations). Tin Han has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Joseph E. Sokal, Hiroshi Takita, Jun Minowada, Germán A. Gómez, Edward S. Henderson, Maurice Barcos, Naoki Sadamori, Avery A. Sandberg, John L. Pauly and Ediz Z. Ezdinli. Their work appears in journals such as Cancer, Journal of Surgical Oncology, The American Journal of Medicine, New England Journal of Medicine and JNCI Journal of the National Cancer Institute.

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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