Xiaohui Sem
Impact in
- Immunology top 5%
- Immune cells in cancer
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Aging top 10%
Papers in ⓘ
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- Immune cells in cancer 3
- Immune Response and Inflammation 2
- Immune responses and vaccinations 2
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- Gut microbiota and health 2
- Co-authors
- Philippe Kourilsky (3 shared papers)Siew Cheng Wong (2 shared papers)Han Hao (2 shared papers)Wing C. Wong (1 shared paper)Kok Loon Wong (1 shared paper)Mikael Rhen (3 shared papers)Kandhadayar G. Srinivasan (2 shared papers)Francesca Zolezzi (2 shared papers)
- Journals
- Frontiers in Cellular and Infection Microbiology (1 paper)Cell Death and Disease (1 paper)Science (1 paper)Journal of Proteome Research (1 paper)Journal of Hepatology (1 paper)
- Partner nations
- SingaporeSwedenUnited States
In The Last Decade
Xiaohui Sem
10 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Immunology 633
- Aging 27
- Infectious Diseases 224
- Neurology 83
- Virology 36
Countries citing papers authored by Xiaohui Sem
This map shows the geographic impact of Xiaohui Sem'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 Xiaohui Sem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Sem more than expected).
Fields of papers citing papers by Xiaohui Sem
This network shows the impact of papers produced by Xiaohui Sem. 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 Xiaohui Sem. The network helps show where Xiaohui Sem may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohui Sem, 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 | Gene expression profiling reveals the defining features of the classical, intermediate, and nonclassical human monocyte subsets Hit paper breakdown → | 2011 | 806 |
| 2 | 2018 | 179 | |
| 3 | 2009 | 76 | |
| 4 | 2010 | 45 | |
| 5 | 2012 | 44 | |
| 6 | 2016 | 35 | |
| 7 | 2011 | 10 | |
| 8 | 2024 | 2 | |
| 9 | 2012 | 2 | |
| 10 | 2020 | 1 |
About Xiaohui Sem
Xiaohui Sem is a scholar working on Immunology, Molecular Biology, Epidemiology, Aging and Food Science, having authored 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune cells in cancer (3 papers), Immune Response and Inflammation (2 papers), Immune responses and vaccinations (2 papers), Hepatitis B Virus Studies (2 papers), Hepatitis C virus research (2 papers), Gut microbiota and health (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and HIV Research and Treatment (1 paper). The work is most often cited by research in Immunology (633 citations), Aging (27 citations), Infectious Diseases (224 citations), Neurology (83 citations) and Virology (36 citations). Xiaohui Sem has collaborated with scholars based in Singapore, Sweden and United States. Frequent co-authors include Philippe Kourilsky, Siew Cheng Wong, Han Hao, Wing C. Wong, Kok Loon Wong, Mikael Rhen, Kandhadayar G. Srinivasan, Francesca Zolezzi, Norman Pavelka and Marina Yurieva. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, Cell Death and Disease, Science, Journal of Proteome Research and Journal of Hepatology.
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.