Han Si

41 papers receiving 4k citations

Han Si's Hit Papers

Key Parameters of Tumor Epitope Immunogenicity Revealed Through a Consortium Approach Improve Neoantigen Prediction 2020 · 408 citations
4080+4+8Years since publication100200300400

Peers

Han Si
Comparison fields: 5 of 92
  • Sensory Systems 278
  • Otorhinolaryngology 287
  • Nephrology 471
  • Oncology 737
  • Cancer Research 420
Replace Martin Johansson with:
Martin Johansson Sweden
Eduardo J. Firpo United States
Kate Talks United Kingdom
David Dominguez-Sola United States
Clara Francı́ Spain
Teresa Palomero United States
Ann M. Kapoun United States
Antonio Gualberto United States
David Plieth United States
Andrew G. Bert Australia
Han Si relative to Martin Johansson Sweden Martin Johansson's profile →
Citations per field
00.5×5×10×15×20.5×
Martin Johansson · 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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Key Parameters of Tumor Epitope Immunogenicity Revealed Through a Consortium Approach Improve Neoantigen Prediction
Hit paper breakdown →
2020408
2
Characterization of HPV and host genome interactions in primary head and neck cancers
Hit paper breakdown →
2014326
3 2010312
4 2006297
5 2020286
6 2009225
7 2006217
8 2003211
9 2013198
10 2020188
11 2010166
12 2005128
13 2019119
14 2011115
15 2020100
16 201489
17 201881
18 201378
19 201869
20 201966

About Han Si

Han Si is a scholar working on Cancer Research, Oncology, Nephrology, Otorhinolaryngology and Ophthalmology, having authored 43 papers that have together received 4.1k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (10 papers), Ion channel regulation and function (6 papers), NF-κB Signaling Pathways (5 papers), Cancer Genomics and Diagnostics (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Head and Neck Cancer Studies (3 papers), Ocular Diseases and Behçet’s Syndrome (3 papers) and Renal Diseases and Glomerulopathies (3 papers). The work is most often cited by research in Sensory Systems (278 citations), Otorhinolaryngology (287 citations), Nephrology (471 citations), Oncology (737 citations) and Cancer Research (420 citations). Han Si has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Joachim D. Hoyer, Ralf Köhler, Ivica Grgic, Katalin Suszták, James M. Pullman, Willm‐Thomas Heyken, Rudolf Schubert, Hideki Kato, Michael Kacik and Thiruvur Niranjan. Their work appears in journals such as Clinical Cancer Research, Annals of Oncology, Arteriosclerosis Thrombosis and Vascular Biology, Oncogene and Circulation.

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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