Xiaohui Sem

1.6k total citations · 1 hit paper
10 papers, 1.2k citations indexed

About

Xiaohui Sem is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Xiaohui Sem has authored 10 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Xiaohui Sem's work include Immune cells in cancer (3 papers), Immune Response and Inflammation (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Xiaohui Sem is often cited by papers focused on Immune cells in cancer (3 papers), Immune Response and Inflammation (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Xiaohui Sem collaborates with scholars based in Singapore, Sweden and United States. Xiaohui Sem's co-authors include Philippe Kourilsky, Siew Cheng Wong, Han Hao, Wing C. Wong, Kok Loon Wong, Mikael Rhen, Gloria Hoi Wan Tso, Michael Poidinger, Francesca Zolezzi and Marina Yurieva and has published in prestigious journals such as Science, Blood and PLoS ONE.

In The Last Decade

Xiaohui Sem

10 papers receiving 1.2k citations

Hit Papers

Gene expression profiling reveals the defining features o... 2011 2026 2016 2021 2011 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaohui Sem Singapore 7 633 348 247 224 120 10 1.2k
Amit A. Patel United Kingdom 13 646 1.0× 257 0.7× 205 0.8× 180 0.8× 117 1.0× 18 1.2k
Gabriela Fernández Argentina 26 745 1.2× 271 0.8× 287 1.2× 282 1.3× 137 1.1× 75 1.7k
Bence Réthi Sweden 23 985 1.6× 478 1.4× 282 1.1× 113 0.5× 181 1.5× 70 1.8k
Matthew L. Wheeler United States 14 572 0.9× 875 2.5× 220 0.9× 233 1.0× 128 1.1× 17 1.6k
Jamie Schoenborn United States 5 970 1.5× 452 1.3× 215 0.9× 148 0.7× 278 2.3× 7 1.7k
Harpreet Vohra India 17 624 1.0× 248 0.7× 242 1.0× 261 1.2× 147 1.2× 46 1.3k
Dominik Aschenbrenner United Kingdom 10 869 1.4× 428 1.2× 178 0.7× 219 1.0× 169 1.4× 14 1.4k
J. Amores Spain 16 696 1.1× 627 1.8× 195 0.8× 90 0.4× 96 0.8× 33 1.4k
Andrew J. Martins United States 18 861 1.4× 629 1.8× 230 0.9× 145 0.6× 211 1.8× 29 1.7k
Sheila Brown United Kingdom 17 1.1k 1.7× 253 0.7× 137 0.6× 154 0.7× 144 1.2× 30 1.7k

Countries citing papers authored by Xiaohui Sem

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Xiaohui Sem

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohui Sem. A scholar is included among the top collaborators of Xiaohui Sem based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaohui Sem. Xiaohui Sem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Chan, Huan‐Keat, Xiaohui Sem, Elena Ivanova Reipold, et al.. (2024). Usability and acceptability of oral fluid- and blood-based hepatitis C virus self-testing among the general population and men who have sex with men in Malaysia. PLOS Global Public Health. 4(1). e0001770–e0001770. 2 indexed citations
3.
Tso, Gloria Hoi Wan, Jose Antonio Reales‐Calderón, Alrina Tan, et al.. (2018). Experimental evolution of a fungal pathogen into a gut symbiont. Science. 362(6414). 589–595. 179 indexed citations
4.
Sem, Xiaohui, Giang Truong Le, Alrina Tan, et al.. (2016). β-glucan Exposure on the Fungal Cell Wall Tightly Correlates with Competitive Fitness of Candida Species in the Mouse Gastrointestinal Tract. Frontiers in Cellular and Infection Microbiology. 6. 186–186. 35 indexed citations
5.
Sem, Xiaohui, Jason F. Kreisberg, Trupti Kawli, et al.. (2012). Modulation ofCaenorhabditis elegansinfection sensitivity by theLIN‐7 cell junction protein. Cellular Microbiology. 14(10). 1584–1599. 2 indexed citations
6.
Sem, Xiaohui & Mikael Rhen. (2012). Pathogenicity of Salmonella enterica in Caenorhabditis elegans Relies on Disseminated Oxidative Stress in the Infected Host. PLoS ONE. 7(9). e45417–e45417. 44 indexed citations
7.
Wong, Kok Loon, Wing C. Wong, Han Hao, et al.. (2011). Gene expression profiling reveals the defining features of the classical, intermediate, and nonclassical human monocyte subsets. Blood. 118(5). e16–e31. 806 indexed citations breakdown →
8.
Sem, Xiaohui, et al.. (2011). Small-molecular virulence inhibitors show divergent and immunomodulatory effects in infection models of Salmonella enterica serovar Typhimurium. International Journal of Antimicrobial Agents. 38(5). 409–416. 10 indexed citations
9.
Zhao, Chen, W. Wei‐Lynn Wong, Xiaohui Sem, et al.. (2010). The CD14+/lowCD16+ monocyte subset is more susceptible to spontaneous and oxidant-induced apoptosis than the CD14+CD16− subset. Cell Death and Disease. 1(11). e95–e95. 45 indexed citations
10.
Zhao, Changqing, Huoming Zhang, Wing‐Cheong Wong, et al.. (2009). Identification of Novel Functional Differences in Monocyte Subsets Using Proteomic and Transcriptomic Methods. Journal of Proteome Research. 8(8). 4028–4038. 76 indexed citations

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.

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