Jing Han

59 total papers · 1.8k total citations
43 papers, 1.2k citations indexed

About

Jing Han is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Jing Han has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 12 papers in Infectious Diseases and 11 papers in Molecular Biology. Recurrent topics in Jing Han's work include HIV, Drug Use, Sexual Risk (12 papers), HIV/AIDS Research and Interventions (11 papers) and HIV Research and Treatment (8 papers). Jing Han is often cited by papers focused on HIV, Drug Use, Sexual Risk (12 papers), HIV/AIDS Research and Interventions (11 papers) and HIV Research and Treatment (8 papers). Jing Han collaborates with scholars based in China, United States and Canada. Jing Han's co-authors include Davina V. Gutierrez, Lynn T. Landmesser, M. Gartz Hanson, Hillel J. Chiel, Melanie D. Mark, Xiang Li, Stefan Herlitze, Peter Hegemann, Juan Hu and Lidian Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jing Han

42 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Jing Han 394 355 143 105 104 43 1.2k
Erle C.H. Lim 128 0.3× 239 0.7× 98 0.7× 180 1.7× 40 0.4× 58 1.4k
Jing Wang 115 0.3× 382 1.1× 88 0.6× 80 0.8× 46 0.4× 58 1.3k
Philippe Nuss 189 0.5× 372 1.0× 65 0.5× 218 2.1× 109 1.0× 62 1.4k
Caterina Vicidomini 186 0.5× 443 1.2× 51 0.4× 41 0.4× 87 0.8× 46 1.3k
Alistair V.W. Nunn 211 0.5× 434 1.2× 66 0.5× 59 0.6× 77 0.7× 33 1.5k
Xiaoping Yin 150 0.4× 380 1.1× 142 1.0× 36 0.3× 64 0.6× 48 1.4k
Suman Kushwaha 87 0.2× 235 0.7× 115 0.8× 91 0.9× 68 0.7× 83 990
Karamarie Fecho 407 1.0× 383 1.1× 57 0.4× 25 0.2× 55 0.5× 58 1.4k
Ying Zhu 92 0.2× 430 1.2× 120 0.8× 64 0.6× 33 0.3× 100 1.5k
Xun Wang 360 0.9× 466 1.3× 64 0.4× 22 0.2× 188 1.8× 51 1.3k

Countries citing papers authored by Jing Han

Since Specialization
Citations

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

Fields of papers citing papers by Jing Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Han

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Han. A scholar is included among the top collaborators of Jing Han 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 Jing Han. Jing Han 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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