Han Si
Impact in
- Sensory Systems top 1%
- Ion Channels and Receptors
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
Papers in
-
- Epigenetics and DNA Methylation 5
- Ion channel regulation and function 5
-
- Cancer Genomics and Diagnostics 14
- Cancer-related molecular mechanisms research 4
- Co-authors
- Joachim Hoyer (10 shared papers)Ivica Grgic (9 shared papers)Ralf Köhler (9 shared papers)James Pullman (4 shared papers)Katalin Suszták (4 shared papers)Tanja Maier (4 shared papers)Willm‐Thomas Heyken (4 shared papers)Christoph Busch (3 shared papers)
- Journals
- Cancer Research (8 papers)Journal of Clinical Oncology (4 papers)Circulation (2 papers)Journal of Thoracic Oncology (2 papers)Kidney International (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Han Si
51 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 109
- Sensory Systems 276
- Nephrology 277
- Cancer Research 408
- Molecular Biology 1.4k
- Physiology 449
Countries citing papers authored by Han Si
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
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.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 297 | |
| 2 | 2006 | 296 | |
| 3 | 2020 | 233 | |
| 4 | 2009 | 219 | |
| 5 | 2003 | 212 | |
| 6 | 2006 | 212 | |
| 7 | 2013 | 185 | |
| 8 | 2010 | 160 | |
| 9 | 2005 | 129 | |
| 10 | 2011 | 104 | |
| 11 | 2020 | 88 | |
| 12 | 2014 | 86 | |
| 13 | 2013 | 72 | |
| 14 | 2018 | 66 | |
| 15 | 2009 | 61 | |
| 16 | 2006 | 44 | |
| 17 | 2019 | 43 | |
| 18 | 2005 | 39 | |
| 19 | 2008 | 34 | |
| 20 | 2019 | 28 |
About Han Si
Han Si is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Pulmonary and Respiratory Medicine, having authored 58 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (14 papers), Cancer Immunotherapy and Biomarkers (10 papers), Epigenetics and DNA Methylation (5 papers), Ion channel regulation and function (5 papers), Cancer-related molecular mechanisms research (4 papers), Nitric Oxide and Endothelin Effects (3 papers), interferon and immune responses (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Sensory Systems (276 citations), Nephrology (277 citations), Cancer Research (408 citations), Molecular Biology (1.4k citations) and Physiology (449 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 Michael Kacik. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Circulation, Journal of Thoracic Oncology and Kidney International.
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.