Suliang Chen

60 total papers · 989 total citations
38 papers, 527 citations indexed

About

Suliang Chen is a scholar working on Virology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Suliang Chen has authored 38 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Virology, 12 papers in Infectious Diseases and 9 papers in Epidemiology. Recurrent topics in Suliang Chen's work include HIV Research and Treatment (13 papers), HIV/AIDS Research and Interventions (11 papers) and HIV/AIDS drug development and treatment (8 papers). Suliang Chen is often cited by papers focused on HIV Research and Treatment (13 papers), HIV/AIDS Research and Interventions (11 papers) and HIV/AIDS drug development and treatment (8 papers). Suliang Chen collaborates with scholars based in China, United Kingdom and Taiwan. Suliang Chen's co-authors include Samira Saadoun, Marios C. Papadopoulos, Xinli Lu, Mathew J. Gallagher, Ing‐Ming Chiu, Argyro Zoumprouli, Peter Smielewski, Marek Czosnyka, Hongru Zhao and Yu‐Chan Chao and has published in prestigious journals such as Nature, PLoS ONE and Cancer Research.

In The Last Decade

Suliang Chen

37 papers receiving 522 citations

Author Peers

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

Author						Papers	Cites
Suliang Chen	127	127	116	98	92	38	527
Josef Schröder	99 0.8×	63 0.5×	112 1.0×	85 0.9×	143 1.6×	24	518
Alison Castley	147 1.2×	111 0.9×	95 0.8×	87 0.9×	45 0.5×	24	487
Hao Wu	69 0.5×	106 0.8×	62 0.5×	60 0.6×	143 1.6×	42	509
Lucía Muñoz-Narbona	48 0.4×	55 0.4×	35 0.3×	83 0.8×	46 0.5×	35	488
Akihiro Masuda	61 0.5×	76 0.6×	45 0.4×	54 0.6×	55 0.6×	24	504
Andrew Hanly	55 0.4×	37 0.3×	82 0.7×	50 0.5×	84 0.9×	23	604
Nurith Vardinon	32 0.3×	72 0.6×	77 0.7×	26 0.3×	54 0.6×	40	493
Ma Àngels Ortiz	30 0.2×	54 0.4×	100 0.9×	56 0.6×	90 1.0×	28	480
Craig Brown	21 0.2×	60 0.5×	49 0.4×	121 1.2×	150 1.6×	33	587
Rainer Zimmermann	19 0.1×	49 0.4×	53 0.5×	70 0.7×	28 0.3×	26	515

Countries citing papers authored by Suliang Chen

Since Specialization

Citations

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

Fields of papers citing papers by Suliang Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suliang Chen

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