Han Wan

1.1k citations
12 papers · 461 indexed · h-index 9

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • Viral gastroenteritis research and epidemiology
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • RNA Research and Splicing

Papers in

    • RNA and protein synthesis mechanisms 7
    • RNA modifications and cancer 4
    • RNA Research and Splicing 2
    • Cancer-related molecular mechanisms research 2

Han Wan

12 papers receiving 456 citations

Peers

Han Wan
Comparison fields: 5 of 61
  • Infectious Diseases 136
  • Molecular Biology 283
  • Animal Science and Zoology 38
  • Immunology 58
  • Cancer Research 39
Replace Nicholas C. Huston with:
Nicholas C. Huston United States
Hosni A. M. Hussein Egypt
Markus Baiersdörfer Germany
Shraddha Sharma United States
Dana Haddad United States
Marco A. Poleganov Germany
Mia R. Kumar United States
Kevin Groen Netherlands
Songtao Xu China
Huanzhou Xu United States
Han Wan relative to Nicholas C. Huston United States Nicholas C. Huston's profile →
Citations per field
00.5×1.5×2.2×
Nicholas C. Huston · 1×
Citations per year

Countries citing papers authored by Han Wan

Since Specialization
Citations

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

Fields of papers citing papers by Han Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Han Wan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Han Wan Line = papers co-authored together Han Wan links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 202312
2 20236
3 20233
4 20231
5 202215
6 2021188
7 202049
8 202047
9 201813
10 201769
11 201326
12 201232

About Han Wan

Han Wan is a scholar working on Molecular Biology, Cancer Research, Hepatology, Reproductive Medicine and Oncology, having authored 12 papers that have together received 461 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (4 papers), interferon and immune responses (2 papers), Cancer-related molecular mechanisms research (2 papers), RNA Research and Splicing (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Viral Infections and Immunology Research (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Infectious Diseases (136 citations), Molecular Biology (283 citations), Animal Science and Zoology (38 citations), Immunology (58 citations) and Cancer Research (39 citations). Han Wan has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include Anna Marie Pyle, Nicholas C. Huston, Rafael de Cesaris Araujo Tavares, Madison S. Strine, Craig B. Wilen, Guang Tan, Ye Tian, Li‐xin Xiang, Xiaoxiao Xu and Jian-zhong Shao. Their work appears in journals such as Journal of Molecular Biology, Journal of Virology, Protein & Cell, Nature Communications and Bioinformatics.

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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