Huan Jiang

101 total papers · 773 total citations
55 papers, 394 citations indexed

About

Huan Jiang is a scholar working on Epidemiology, General Health Professions and Pathology and Forensic Medicine. According to data from OpenAlex, Huan Jiang has authored 55 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Epidemiology, 21 papers in General Health Professions and 17 papers in Pathology and Forensic Medicine. Recurrent topics in Huan Jiang's work include Alcohol Consumption and Health Effects (17 papers), Substance Abuse Treatment and Outcomes (16 papers) and Health disparities and outcomes (8 papers). Huan Jiang is often cited by papers focused on Alcohol Consumption and Health Effects (17 papers), Substance Abuse Treatment and Outcomes (16 papers) and Health disparities and outcomes (8 papers). Huan Jiang collaborates with scholars based in Canada, Germany and Russia. Huan Jiang's co-authors include Jürgen Rehm, Shannon Lange, Alexander Tran, Wei-Jie Zhu, Mindaugas Štelemėkas, Jakob Manthey, Weibo Liang, Jing Li, Qiuju Chen and Yi‐Qun Gu and has published in prestigious journals such as Scientific Reports, Statistics in Medicine and International Journal of Environmental Research and Public Health.

In The Last Decade

Huan Jiang

46 papers receiving 391 citations

Author Peers

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

Author						Papers	Cites
Huan Jiang	152	107	93	64	58	55	394
Belkis Aracena-Genao	38 0.3×	51 0.5×	99 1.1×	25 0.4×	103 1.8×	26	397
Elizabeth Brown	49 0.3×	34 0.3×	78 0.8×	15 0.2×	108 1.9×	26	381
Alfred Owoc	37 0.2×	58 0.5×	62 0.7×	18 0.3×	106 1.8×	54	445
Swarupa Chakole	55 0.4×	15 0.1×	42 0.5×	29 0.5×	64 1.1×	60	373
Soheila Ehsanpour	32 0.2×	27 0.3×	64 0.7×	45 0.7×	125 2.2×	53	347
Jing Li	73 0.5×	24 0.2×	77 0.8×	5 0.1×	39 0.7×	28	418
Maria Bethânia da Costa Chein	72 0.5×	21 0.2×	80 0.9×	43 0.7×	143 2.5×	36	355
Roshan Prasad	29 0.2×	30 0.3×	37 0.4×	38 0.6×	70 1.2×	51	436
Hyeonyoung Ko	40 0.3×	20 0.2×	52 0.6×	8 0.1×	52 0.9×	31	345
David Stock	56 0.4×	41 0.4×	63 0.7×	8 0.1×	56 1.0×	41	352

Countries citing papers authored by Huan Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Huan Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huan Jiang

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