Jian Guan

23 total papers · 576 total citations
19 papers, 449 citations indexed

About

Jian Guan is a scholar working on Molecular Biology, Epidemiology and Biomaterials. According to data from OpenAlex, Jian Guan has authored 19 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Epidemiology and 4 papers in Biomaterials. Recurrent topics in Jian Guan's work include Cervical Cancer and HPV Research (5 papers), Adsorption and biosorption for pollutant removal (4 papers) and Nanocluster Synthesis and Applications (4 papers). Jian Guan is often cited by papers focused on Cervical Cancer and HPV Research (5 papers), Adsorption and biosorption for pollutant removal (4 papers) and Nanocluster Synthesis and Applications (4 papers). Jian Guan collaborates with scholars based in China, United States and Brazil. Jian Guan's co-authors include Wensheng Yang, Lin Jiang, Neil D. Christensen, Susan Hafenstein, Sarah A. Brendle, Robert E. Ashley, Alexander M. Makhov, James F. Conway, Jun Li and Fang Zhu and has published in prestigious journals such as Langmuir, Bioresource Technology and Journal of Virology.

In The Last Decade

Jian Guan

19 papers receiving 447 citations

Author Peers

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

Author Last Decade Papers Cites
Jian Guan 130 112 103 90 65 19 449
Daniel M. Souza 62 0.5× 85 0.8× 89 0.9× 76 0.8× 12 0.2× 19 452
Yali Duan 217 1.7× 71 0.6× 132 1.3× 89 1.0× 25 0.4× 25 437
Tingting Dai 173 1.3× 39 0.3× 232 2.3× 110 1.2× 28 0.4× 35 547
Maluta Steven Mufamadi 268 2.1× 86 0.8× 86 0.8× 37 0.4× 6 0.1× 20 547
Barry O’Hagan 135 1.0× 49 0.4× 101 1.0× 78 0.9× 51 0.8× 22 421
John C. Trefry 100 0.8× 52 0.5× 110 1.1× 129 1.4× 44 0.7× 20 533
Dong Yang 227 1.7× 48 0.4× 71 0.7× 46 0.5× 58 0.9× 23 508
Miso Park 179 1.4× 57 0.5× 66 0.6× 37 0.4× 65 1.0× 36 442
Hamidur Rahman 60 0.5× 46 0.4× 34 0.3× 149 1.7× 15 0.2× 22 428
Ming-Hong He 109 0.8× 10 0.1× 157 1.5× 80 0.9× 39 0.6× 27 439

Countries citing papers authored by Jian Guan

Since Specialization
Citations

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

Fields of papers citing papers by Jian Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Guan

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