Huimin Wan

1.0k total citations
14 papers, 722 citations indexed

About

Huimin Wan is a scholar working on Infectious Diseases, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Huimin Wan has authored 14 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Huimin Wan's work include Neuroscience and Neuropharmacology Research (3 papers), COVID-19 Clinical Research Studies (3 papers) and Pregnancy and preeclampsia studies (2 papers). Huimin Wan is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), COVID-19 Clinical Research Studies (3 papers) and Pregnancy and preeclampsia studies (2 papers). Huimin Wan collaborates with scholars based in China, United Kingdom and United States. Huimin Wan's co-authors include John P. Aggleton, Malcolm W. Brown, Jingyu Su, Wenbin Tan, Xiaoling Cao, Xiuqi Wei, Wenjuan Zeng, Hui Wang, Souvik Naskar and György Kemenes and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Frontiers in Immunology.

In The Last Decade

Huimin Wan

13 papers receiving 706 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huimin Wan China 7 305 243 230 116 103 14 722
Eric Nou United States 9 363 1.2× 396 1.6× 157 0.7× 264 2.3× 110 1.1× 10 1.2k
Anna Teresa Giallonardo Italy 23 205 0.7× 422 1.7× 80 0.3× 143 1.2× 46 0.4× 96 1.5k
Disha Shah Belgium 18 444 1.5× 233 1.0× 67 0.3× 158 1.4× 44 0.4× 36 959
Carlo Di Bonaventura Italy 26 275 0.9× 571 2.3× 86 0.4× 205 1.8× 56 0.5× 141 1.9k
Ying Cao China 16 325 1.1× 139 0.6× 61 0.3× 52 0.4× 97 0.9× 53 831
Christian Korff Switzerland 24 209 0.7× 322 1.3× 56 0.2× 307 2.6× 51 0.5× 87 1.3k
Juan A. Flores Peru 17 67 0.2× 300 1.2× 89 0.4× 117 1.0× 70 0.7× 34 793
Lynette G. Sadleir New Zealand 24 340 1.1× 570 2.3× 72 0.3× 576 5.0× 49 0.5× 66 2.3k
Sathyajit S. Bandaru United States 16 500 1.6× 179 0.7× 73 0.3× 85 0.7× 37 0.4× 29 988

Countries citing papers authored by Huimin Wan

Since Specialization
Citations

This map shows the geographic impact of Huimin Wan'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 Huimin Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huimin Wan more than expected).

Fields of papers citing papers by Huimin Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huimin Wan. 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 Huimin Wan. The network helps show where Huimin Wan may publish in the future.

Co-authorship network of co-authors of Huimin Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Huimin Wan. A scholar is included among the top collaborators of Huimin Wan 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 Huimin Wan. Huimin Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Wan, Huimin, et al.. (2025). Pan-Immune-Inflammation Value and Risk of Hypertensive Disorders of Pregnancy: A Cross-Sectional Study. Journal of Inflammation Research. Volume 18. 8049–8063.
2.
Lin, Tingting, et al.. (2025). The role of CTGF and MFG-E8 in the prognosis assessment of SCAP: a study combining machine learning and nomogram analysis. Frontiers in Immunology. 16. 1446415–1446415. 1 indexed citations
3.
Wan, Huimin, Wang Xie, Jingjing Lu, et al.. (2024). Dynasore Alleviates LPS-Induced Acute Lung Injury by Inhibiting NLRP3 Inflammasome-Mediated Pyroptosis. Drug Design Development and Therapy. Volume 18. 1369–1384. 9 indexed citations
4.
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6.
Wei, Xiuqi, Wenjuan Zeng, Jingyu Su, et al.. (2020). Hypolipidemia is associated with the severity of COVID-19. Journal of clinical lipidology. 14(3). 297–304. 241 indexed citations
7.
Li, Hong, et al.. (2020). Hydrogen-rich water attenuates the radiotoxicity induced by tritium exposure in vitro and in vivo. Journal of Radiation Research. 62(1). 34–45. 7 indexed citations
8.
Wei, Xiuqi, Jingyu Su, Kunyu Yang, et al.. (2020). Elevations of serum cancer biomarkers correlate with severity of COVID‐19. Journal of Medical Virology. 92(10). 2036–2041. 55 indexed citations
9.
Wei, Xiuqi, Jingyu Su, Huimin Wan, et al.. (2020). SARS-COV-2 Infection Causes Dyslipidemia and Increases Levels of Cancer Biomarkers in COVID-19 Patients. SSRN Electronic Journal. 3 indexed citations
10.
Shen, Mingqiang, Na Zhao, Huimin Wan, et al.. (2019). dTMP-GH Fusion Protein Therapy Improves Survival after Radiation Injury Combined with Skin-Burn Trauma in Mice. Radiation Research. 191(4). 360–360. 1 indexed citations
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12.
Naskar, Souvik, Huimin Wan, & György Kemenes. (2014). pT305-CaMKII stabilizes a learning-induced increase in AMPA receptors for ongoing memory consolidation after classical conditioning. Nature Communications. 5(1). 3967–3967. 16 indexed citations
13.
14.
Wan, Huimin, John P. Aggleton, & Malcolm W. Brown. (1999). Different Contributions of the Hippocampus and Perirhinal Cortex to Recognition Memory. Journal of Neuroscience. 19(3). 1142–1148. 364 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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2026