Si Chen
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
Papers in
-
- Inflammasome and immune disorders 6
- Epidemiology 20
- Liver Disease Diagnosis and Treatment 7
- Co-authors
- Meenakshi Devidas (7 shared papers)Elizabeth A. Raetz (7 shared papers)William L. Carroll (7 shared papers)Stephen P. Hunger (7 shared papers)Mignon L. Loh (7 shared papers)Naomi Winick (7 shared papers)Brent L. Wood (5 shared papers)Eric Larsen (4 shared papers)
- Journals
- Frontiers in Pharmacology (4 papers)Blood (4 papers)Journal of Clinical Oncology (3 papers)Frontiers in Immunology (2 papers)Frontiers in Molecular Neuroscience (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Si Chen
106 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 138
- Hematology 198
- Nephrology 125
- Pediatrics, Perinatology and Child Health 309
- Public Health, Environmental and Occupational Health 420
- Oncology 302
Countries citing papers authored by Si Chen
This map shows the geographic impact of Si Chen'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 Si Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Si Chen more than expected).
Fields of papers citing papers by Si Chen
This network shows the impact of papers produced by Si Chen. 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 Si Chen. The network helps show where Si Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Si Chen, 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 231 | |
| 2 | 2019 | 177 | |
| 3 | 2014 | 97 | |
| 4 | 2014 | 84 | |
| 5 | 2017 | 68 | |
| 6 | 2017 | 68 | |
| 7 | 2017 | 52 | |
| 8 | 2019 | 48 | |
| 9 | 2020 | 46 | |
| 10 | 2017 | 39 | |
| 11 | 2021 | 39 | |
| 12 | 2023 | 38 | |
| 13 | 2019 | 37 | |
| 14 | 2012 | 36 | |
| 15 | 2012 | 33 | |
| 16 | 2016 | 29 | |
| 17 | 2021 | 29 | |
| 18 | 2024 | 26 | |
| 19 | 2022 | 23 | |
| 20 | 2014 | 23 |
About Si Chen
Si Chen is a scholar working on Molecular Biology, Epidemiology, Surgery, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 114 papers that have together received 1.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Childhood Cancer Survivors' Quality of Life (7 papers), Acute Lymphoblastic Leukemia research (7 papers), Gout, Hyperuricemia, Uric Acid (7 papers), Diabetes Management and Research (6 papers), Inflammasome and immune disorders (6 papers), Diabetes Treatment and Management (5 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). The work is most often cited by research in Hematology (198 citations), Nephrology (125 citations), Pediatrics, Perinatology and Child Health (309 citations), Public Health, Environmental and Occupational Health (420 citations) and Oncology (302 citations). Si Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Meenakshi Devidas, Elizabeth A. Raetz, William L. Carroll, Stephen P. Hunger, Mignon L. Loh, Naomi Winick, Brent L. Wood, Eric Larsen, Nyla A. Heerema and Michael J. Borowitz. Their work appears in journals such as Frontiers in Pharmacology, Blood, Journal of Clinical Oncology, Frontiers in Immunology and Frontiers in Molecular Neuroscience.
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.