Kai Su
Impact in
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- Regulation of Appetite and Obesity
- Physiology top 10%
- Adipose Tissue and Metabolism
Papers in
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- Genomics and Chromatin Dynamics 4
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- Lung Cancer Diagnosis and Treatment 3
- Co-authors
- Leslie Pick (3 shared papers)Thomas Scherer (2 shared papers)Christoph Buettner (2 shared papers)Wei Han (2 shared papers)Yaojie Tu (4 shared papers)Hao Liu (4 shared papers)Willis X. Li (1 shared paper)Yan Yu (1 shared paper)
- Journals
- Fuel Processing Technology (2 papers)Journal of Surgical Research (2 papers)Nature (1 paper)The FASEB Journal (1 paper)Future Generation Computer Systems (1 paper)
- Partner nations
- ChinaUnited StatesIraq
In The Last Decade
Kai Su
76 papers receiving 2.5k citations
Kai Su's Hit Papers
Peers
Comparison fields: 5 of 138
- Endocrine and Autonomic Systems 280
- Physiology 363
- Fluid Flow and Transfer Processes 92
- Oncology 299
- Cancer Research 161
Countries citing papers authored by Kai Su
This map shows the geographic impact of Kai Su'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 Kai Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Su more than expected).
Fields of papers citing papers by Kai Su
This network shows the impact of papers produced by Kai Su. 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 Kai Su. The network helps show where Kai Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Su, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Neoadjuvant PD-1 inhibitor (Sintilimab) in NSCLC Hit paper breakdown → | 2020 | 334 |
| 2 | 2008 | 286 | |
| 3 | 2011 | 219 | |
| 4 | 1997 | 186 | |
| 5 | 2005 | 115 | |
| 6 | 2010 | 96 | |
| 7 | 1993 | 74 | |
| 8 | 2015 | 69 | |
| 9 | 2016 | 67 | |
| 10 | 2013 | 66 | |
| 11 | 2016 | 62 | |
| 12 | 2014 | 61 | |
| 13 | 2006 | 60 | |
| 14 | 2023 | 54 | |
| 15 | 2001 | 52 | |
| 16 | 2008 | 49 | |
| 17 | 2015 | 45 | |
| 18 | 2019 | 42 | |
| 19 | 2019 | 41 | |
| 20 | 2012 | 36 |
About Kai Su
Kai Su is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Physiology and Cardiology and Cardiovascular Medicine, having authored 81 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), Cardiac Fibrosis and Remodeling (3 papers), Cancer-related molecular mechanisms research (3 papers), Thermochemical Biomass Conversion Processes (3 papers), Combustion and flame dynamics (3 papers), Lipid metabolism and biosynthesis (3 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (280 citations), Physiology (363 citations), Fluid Flow and Transfer Processes (92 citations), Oncology (299 citations) and Cancer Research (161 citations). Kai Su has collaborated with scholars based in China, United States and Iraq. Frequent co-authors include Leslie Pick, Thomas Scherer, Christoph Buettner, Wei Han, Yaojie Tu, Hao Liu, Willis X. Li, Yan Yu, Norbert Perrimon and Chuguang Zheng. Their work appears in journals such as Fuel Processing Technology, Journal of Surgical Research, Nature, The FASEB Journal and Future Generation Computer Systems.
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.