Han Si

4.9k citations
55 papers · 2.7k · h-index 21

Impact in

Papers in

    • Epigenetics and DNA Methylation 6
    • Ion channel regulation and function 6
    • Cancer Genomics and Diagnostics 13
    • Cancer-related molecular mechanisms research 4

Han Si

47 papers receiving 2.6k citations

Peers

Han Si
Comparison fields: 5 of 113
  • Sensory Systems 281
  • Nephrology 286
  • Cancer Research 464
  • Molecular Biology 1.4k
  • Physiology 513
Replace John J. Lepore with:
John J. Lepore United States
David Stegner Germany
Joerg Heineke Germany
Björn Friedrich Germany
Hartmut Rütten Germany
Hiroyuki Koshiyama Japan
Bayram Edemir Germany
Ying Shen China
Daniel L. Galvan United States
Takamoto Ohse Japan
Han Si relative to John J. Lepore United States John J. Lepore's profile →
Citations per field
00.5×2.6×
John J. Lepore · 1×
Citations per year

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).

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.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010293
2 2006279
3 2020221
4 2009210
5 2003207
6 2006203
7 2013180
8 2010156
9 2005126
10 2011101
11 202086
12 201485
13 201371
14 201864
15 200959
16 201943
17 200641
18 200538
19 200833
20 201926

About Han Si

Han Si is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Pulmonary and Respiratory Medicine, having authored 55 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (13 papers), Cancer Immunotherapy and Biomarkers (11 papers), Epigenetics and DNA Methylation (6 papers), Ion channel regulation and function (6 papers), Genetic Syndromes and Imprinting (4 papers), Immunotherapy and Immune Responses (4 papers), Nitric Oxide and Endothelin Effects (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Sensory Systems (281 citations), Nephrology (286 citations), Cancer Research (464 citations), Molecular Biology (1.4k citations) and Physiology (513 citations). Han Si has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Joachim Hoyer, Ivica Grgic, Ralf Köhler, James Pullman, Katalin Suszták, Tanja Maier, Willm‐Thomas Heyken, Christoph Busch, Rudolf Schubert and Hideki Kato. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Journal of Thoracic Oncology, Circulation and Annals of 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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