Tin Han

97 papers and 2.3k indexed citations i.

About

Tin Han is a scholar working on Genetics, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Tin Han has authored 97 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Genetics, 44 papers in Pathology and Forensic Medicine and 38 papers in Immunology. Recurrent topics in Tin Han’s work include Chronic Lymphocytic Leukemia Research (45 papers), Lymphoma Diagnosis and Treatment (42 papers) and Immunodeficiency and Autoimmune Disorders (17 papers). Tin Han is often cited by papers focused on Chronic Lymphocytic Leukemia Research (45 papers), Lymphoma Diagnosis and Treatment (42 papers) and Immunodeficiency and Autoimmune Disorders (17 papers). Tin Han collaborates with scholars based in United States, Italy and Belgium. Tin Han's co-authors include Joseph E. Sokal, Hiroshi Takita, Jun Minowada, Germán A. Gómez, Edward S. Henderson, Maurice Barcos, Avery A. Sandberg, Naoki Sadamori, John L. Pauly and Ediz Z. Ezdinli and has published in prestigious journals such as New England Journal of Medicine, The Lancet and JAMA.

In The Last Decade

Co-authorship network of co-authors of Tin Han i

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.

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).

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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2025