Hancheng Guan

26 total papers · 619 total citations
21 papers, 487 citations indexed

About

Hancheng Guan is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Hancheng Guan has authored 21 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 6 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Hancheng Guan's work include Virus-based gene therapy research (9 papers), Herpesvirus Infections and Treatments (6 papers) and Poxvirus research and outbreaks (5 papers). Hancheng Guan is often cited by papers focused on Virus-based gene therapy research (9 papers), Herpesvirus Infections and Treatments (6 papers) and Poxvirus research and outbreaks (5 papers). Hancheng Guan collaborates with scholars based in United States, Myanmar and Canada. Hancheng Guan's co-authors include Robert P. Ricciardi, Shihe Hou, Anne E. Simon, Manunya Nuth, Clifford D. Carpenter, Natalia L. Zhukovskaya, Denis A. Smirnov, Rohinton S. Tarapore, Chen Tian and Wenmei Xiao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Virology.

In The Last Decade

Hancheng Guan

21 papers receiving 480 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hancheng Guan 189 116 107 96 69 21 487
Yidi Guo 262 1.4× 105 0.9× 90 0.8× 75 0.8× 73 1.1× 37 518
Franklin Mayca Pozo 324 1.7× 98 0.8× 44 0.4× 33 0.3× 24 0.3× 19 491
Robert Buckland 247 1.3× 48 0.4× 51 0.5× 32 0.3× 34 0.5× 19 545
Ching‐Shu Suen 273 1.4× 63 0.5× 43 0.4× 43 0.4× 85 1.2× 22 483
J. S. Rhim 233 1.2× 94 0.8× 51 0.5× 27 0.3× 109 1.6× 27 541
Keyur A. Dave 176 0.9× 56 0.5× 64 0.6× 40 0.4× 71 1.0× 24 425
Lubov Neznanova 248 1.3× 111 1.0× 47 0.4× 24 0.3× 42 0.6× 12 471
Paul A. Aeed 302 1.6× 140 1.2× 51 0.5× 30 0.3× 44 0.6× 17 533
Tina Gill 352 1.9× 53 0.5× 53 0.5× 40 0.4× 50 0.7× 13 514
Akiko Eto 195 1.0× 167 1.4× 75 0.7× 19 0.2× 80 1.2× 16 466

Countries citing papers authored by Hancheng Guan

Since Specialization
Citations

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

Fields of papers citing papers by Hancheng Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hancheng Guan

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

All Works

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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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