Yueming Tang

56 papers receiving 2.6k citations

Peers

Yueming Tang
Comparison fields: 5 of 95
  • Endocrine and Autonomic Systems 272
  • Pathology and Forensic Medicine 527
  • Gastroenterology 119
  • Biological Psychiatry 22
  • Neurology 107
Replace Inbal Eti Biton with:
Inbal Eti Biton Israel
Hyun‐Jung Cho Australia
Li Zuo China
Radomir M. Slominski United States
Michael A. Kiebish United States
Vijay Kumar Yadav United States
Ali Banan United States
Antonio Carrillo‐Vico Spain
Sung Joon Kim South Korea
André Peinnequin France
Yueming Tang relative to Inbal Eti Biton Israel Inbal Eti Biton's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yueming Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yueming Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yueming Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yueming Tang Line = papers co-authored together Yueming Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009350
2 2007255
3 2013215
4 2010141
5 1997131
6 2009128
7 2008122
8 2009103
9 200580
10 200075
11 200970
12 200968
13 201367
14 201567
15 200963
16 201156
17 199755
18 200454
19 200449
20 201744

About Yueming Tang

Yueming Tang is a scholar working on Pathology and Forensic Medicine, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Plant Science and Neurology, having authored 57 papers that have together received 2.7k indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (9 papers), Neuropeptides and Animal Physiology (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Postharvest Quality and Shelf Life Management (5 papers), Circadian rhythm and melatonin (4 papers), Inflammatory Bowel Disease (4 papers), Clinical Laboratory Practices and Quality Control (2 papers) and Plant Stress Responses and Tolerance (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (272 citations), Pathology and Forensic Medicine (527 citations), Gastroenterology (119 citations), Biological Psychiatry (22 citations) and Neurology (107 citations). Yueming Tang has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Ali Keshavarzian, Christopher B. Forsyth, Maliha W. Shaikh, Shriram M. Jakate, Fred William Turek, Ashkan Farhadi, Jeremy Z. Fields, Ali Banan, Fabian Preuss and Cynthia K. Lau. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Scientia Horticulturae, Plants, Clinica Chimica Acta and LWT.

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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