Jun Tang

1.9k total citations · 1 hit paper
51 papers, 1.4k citations indexed

About

Jun Tang is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jun Tang has authored 51 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Physiology, 17 papers in Molecular Biology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jun Tang's work include Pain Mechanisms and Treatments (15 papers), Gut microbiota and health (9 papers) and Diet and metabolism studies (8 papers). Jun Tang is often cited by papers focused on Pain Mechanisms and Treatments (15 papers), Gut microbiota and health (9 papers) and Diet and metabolism studies (8 papers). Jun Tang collaborates with scholars based in China, United States and Australia. Jun Tang's co-authors include Jingjing Zhang, Hao Li, Yi Wan, Fenglei Wang, Duo Li, Tao Huang, Jihong Yuan, Ju‐Sheng Zheng, Ruoyi Wang and Andrew J. Sinclair and has published in prestigious journals such as Nature Communications, PLoS ONE and Chemical Communications.

In The Last Decade

Jun Tang

45 papers receiving 1.4k citations

Hit Papers

Effects of dietary fat on gut microbiota and faecal metab... 2019 2026 2021 2023 2019 100 200 300 400

Peers

Jun Tang
Comparison fields: 5 of 122
  • Molecular Biology 737
  • Physiology 566
  • Epidemiology 149
  • Public Health, Environmental and Occupational Health 129
  • Oncology 123
Replace Angela Amoruso with:
Angela Amoruso Italy
Jingjing Meng United States
Layla Al‐Nakkash United States
Ling Jin China
Teresa Esposito Italy
Giovanni Corsetti Italy
N. D. Kantharia India
Claudio Pirozzi Italy
Kersti Zilmer Estonia
Adriano Lama Italy
Angela Amoruso Italy View profile →
Citations per field, relative to Jun Tang
Jun Tang · 1×
Citations per year, relative to Jun Tang
Jun Tang · 1×

Countries citing papers authored by Jun Tang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Tang. A scholar is included among the top collaborators of Jun Tang 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 Jun Tang. Jun Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 1
5 0
6 9
7 0
8 3
9 0
10 8
11 11
12 7
13 5
14 98
15 35
16
Effects of dietary fat on gut microbiota and faecal metabolites, and their relationship with cardiometabolic risk factors: a 6-month randomised controlled-feeding trial breakdown →
459
17 19
18 49
19 29
20 38

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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