Si Ming Man
- Immunology top 0.5%
- interferon and immune responses 18
- Immune Response and Inflammation 13
- IL-33, ST2, and ILC Pathways 7
- Nephrology top 0.5%
- Gout, Hyperuricemia, Uric Acid 6
- Molecular Biology top 0.5%
- Inflammasome and immune disorders 51
- Heme Oxygenase-1 and Carbon Monoxide 15
- Infectious Diseases top 0.5%
- Food Science top 0.2%
- Salmonella and Campylobacter epidemiology 9
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- Kawasaki Disease and Coronary Complications 7
- Co-authors
- Thirumala‐Devi KannegantiRajendra KarkiHazel M. MitchellNadeem O. KaakoushNatalia Castaño‐RodríguezPeter VogelR. K. Subbarao MalireddiShouya Feng
- Journals
- Nature Communications (4 papers)Nature Reviews Gastroenterology & Hepatology (4 papers)Immunological Reviews (4 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Si Ming Man
84 papers receiving 11.5k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Immunology 3.9k
- Nephrology 807
- Molecular Biology 7.5k
- Infectious Diseases 1.8k
- Food Science 1.6k
Countries citing papers authored by Si Ming Man
This map shows the geographic impact of Si Ming Man'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 Ming Man with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Si Ming Man more than expected).
Fields of papers citing papers by Si Ming Man
This network shows the impact of papers produced by Si Ming Man. 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 Ming Man. The network helps show where Si Ming Man may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Si Ming Man, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 12 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 12 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 25 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 25 | |
| 9 | 2022 | 33 | |
| 10 | 2022 | 5 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 92 | |
| 13 | 2020 | 141 | |
| 14 | 2018 | 38 | |
| 15 | 2016 | 165 | |
| 16 | 2015 | 121 | |
| 17 | 2015 | 216 | |
| 18 | 2014 | 87 | |
| 19 | 2013 | 119 | |
| 20 | 2010 | 56 |
About Si Ming Man
Si Ming Man is a scholar working on Immunology, Molecular Biology, Nephrology, Parasitology and Endocrinology, having authored 87 papers that have together received 11.6k indexed citations. Recurring topics across this work include Inflammasome and immune disorders (51 papers), interferon and immune responses (18 papers), Heme Oxygenase-1 and Carbon Monoxide (15 papers), Immune Response and Inflammation (13 papers), Salmonella and Campylobacter epidemiology (9 papers), Kawasaki Disease and Coronary Complications (7 papers), IL-33, ST2, and ILC Pathways (7 papers) and Gout, Hyperuricemia, Uric Acid (6 papers). The work is most often cited by research in Immunology (3.9k citations), Nephrology (807 citations), Molecular Biology (7.5k citations), Infectious Diseases (1.8k citations) and Food Science (1.6k citations). Si Ming Man has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Thirumala‐Devi Kanneganti, Rajendra Karki, Hazel M. Mitchell, Nadeem O. Kaakoush, Natalia Castaño‐Rodríguez, Peter Vogel, R. K. Subbarao Malireddi, Shouya Feng, Geoffrey Neale and Daniel Enosi Tuipulotu. Their work appears in journals such as Nature Communications, Nature Reviews Gastroenterology & Hepatology, Immunological Reviews, Proceedings of the National Academy of Sciences and Scientific Reports.
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.