Han Wan

1.1k total citations
12 papers, 461 citations indexed

About

Han Wan is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Han Wan has authored 12 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Immunology. Recurrent topics in Han Wan's work include RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (4 papers) and interferon and immune responses (2 papers). Han Wan is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (4 papers) and interferon and immune responses (2 papers). Han Wan collaborates with scholars based in United States, China and Russia. Han Wan's co-authors include Anna Marie Pyle, Nicholas C. Huston, Rafael de Cesaris Araujo Tavares, Craig B. Wilen, Madison S. Strine, Guang Tan, Ye Tian, Xiaoxiao Xu, Tong Shao and Li‐xin Xiang and has published in prestigious journals such as Nature Communications, Molecular Cell and Bioinformatics.

In The Last Decade

Han Wan

12 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Han Wan United States 9 283 136 59 58 54 12 461
Nicholas C. Huston United States 10 380 1.3× 135 1.0× 59 1.0× 26 0.4× 16 0.3× 14 546
Markus Baiersdörfer Germany 9 380 1.3× 107 0.8× 48 0.8× 183 3.2× 121 2.2× 10 562
Marco A. Poleganov Germany 7 337 1.2× 82 0.6× 21 0.4× 139 2.4× 59 1.1× 8 457
Maria Carmen Martín Spain 9 159 0.6× 96 0.7× 48 0.8× 22 0.4× 28 0.5× 15 287
Songtao Xu China 13 249 0.9× 104 0.8× 25 0.4× 51 0.9× 72 1.3× 28 503
Amanda B. Wass United States 7 132 0.5× 41 0.3× 74 1.3× 71 1.2× 92 1.7× 12 335
Dana Haddad United States 14 136 0.5× 47 0.3× 23 0.4× 54 0.9× 217 4.0× 29 488
Huanzhou Xu United States 11 230 0.8× 116 0.9× 15 0.3× 77 1.3× 71 1.3× 20 392
Devin Kenney United States 8 144 0.5× 199 1.5× 18 0.3× 171 2.9× 36 0.7× 16 424
Hosni A. M. Hussein Egypt 11 111 0.4× 100 0.7× 18 0.3× 87 1.5× 83 1.5× 19 357

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 of co-authors of Han Wan

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

All Works

12 of 12 papers shown
1.
Tavares, Rafael de Cesaris Araujo, et al.. (2023). MRT-ModSeq – Rapid Detection of RNA Modifications with MarathonRT. Journal of Molecular Biology. 435(22). 168299–168299. 6 indexed citations
2.
Pánek, Josef, Archana Bairavasundaram Prusty, Nicholas C. Huston, et al.. (2023). The SMN complex drives structural changes in human snRNAs to enable snRNP assembly. Nature Communications. 14(1). 6580–6580. 12 indexed citations
3.
Goodier, John, Han Wan, Laura Sánchez, et al.. (2023). ZCCHC3 is a stress granule zinc knuckle protein that strongly suppresses LINE-1 retrotransposition. PLoS Genetics. 19(7). e1010795–e1010795. 3 indexed citations
4.
Tavares, Rafael de Cesaris Araujo, et al.. (2023). RSCanner: rapid assessment and visualization of RNA structure content. Bioinformatics. 39(3). 1 indexed citations
5.
Wan, Han, Rebecca L. Adams, Brett D. Lindenbach, & Anna Marie Pyle. (2022). The In Vivo and In Vitro Architecture of the Hepatitis C Virus RNA Genome Uncovers Functional RNA Secondary and Tertiary Structures. Journal of Virology. 96(8). e0194621–e0194621. 15 indexed citations
6.
Huston, Nicholas C., Han Wan, Madison S. Strine, et al.. (2021). Comprehensive in vivo secondary structure of the SARS-CoV-2 genome reveals novel regulatory motifs and mechanisms. Molecular Cell. 81(3). 584–598.e5. 188 indexed citations
7.
Tavares, Rafael de Cesaris Araujo, et al.. (2020). The Global and Local Distribution of RNA Structure throughout the SARS-CoV-2 Genome. Journal of Virology. 95(5). 49 indexed citations
8.
Guo, Litao, Rebecca L. Adams, Han Wan, et al.. (2020). Sequencing and Structure Probing of Long RNAs Using MarathonRT: A Next-Generation Reverse Transcriptase. Journal of Molecular Biology. 432(10). 3338–3352. 47 indexed citations
9.
Tang, Kejing, Neng Jiang, Yukun Kuang, et al.. (2018). Overcoming T790M mutant small cell lung cancer with the third‐generation EGFR‐TKI osimertinib. Thoracic Cancer. 10(2). 359–364. 13 indexed citations
10.
Xu, Xiaoxiao, Han Wan, Li Nie, et al.. (2017). RIG-I: a multifunctional protein beyond a pattern recognition receptor. Protein & Cell. 9(3). 246–253. 69 indexed citations
11.
Tian, Ye, et al.. (2013). Androgen receptor may be responsible for gender disparity in gastric cancer. Medical Hypotheses. 80(5). 672–674. 26 indexed citations
12.
Tian, Ye, Han Wan, & Guang Tan. (2012). Cell cycle-related kinase in carcinogenesis. Oncology Letters. 4(4). 601–606. 32 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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