Han Si

48 papers and 2.5k indexed citations i.

About

Han Si is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Han Si has authored 48 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 18 papers in Cancer Research and 15 papers in Oncology. Recurrent topics in Han Si’s work include Cancer Genomics and Diagnostics (12 papers), Cancer Immunotherapy and Biomarkers (11 papers) and Ion channel regulation and function (6 papers). Han Si is often cited by papers focused on Cancer Genomics and Diagnostics (12 papers), Cancer Immunotherapy and Biomarkers (11 papers) and Ion channel regulation and function (6 papers). Han Si collaborates with scholars based in United States, Germany and China. Han Si's co-authors include Joachim Hoyer, Ivica Grgic, Ralf Köhler, James Pullman, Katalin Suszták, Willm‐Thomas Heyken, Tanja Maier, Christoph Busch, Rudolf Schubert and Hideki Kato and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

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

Fields of papers citing papers by Han Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Han Si

Since Specialization
Citations

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