Yan Tang

1.8k total citations
57 papers, 1.3k citations indexed

About

Yan Tang is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Yan Tang has authored 57 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 9 papers in Cancer Research and 7 papers in Epidemiology. Recurrent topics in Yan Tang's work include Phosphodiesterase function and regulation (6 papers), MicroRNA in disease regulation (5 papers) and Receptor Mechanisms and Signaling (5 papers). Yan Tang is often cited by papers focused on Phosphodiesterase function and regulation (6 papers), MicroRNA in disease regulation (5 papers) and Receptor Mechanisms and Signaling (5 papers). Yan Tang collaborates with scholars based in China, United States and Japan. Yan Tang's co-authors include Jeffrey E. Pessin, Hyokjoon Kwon, Haihong Zong, Dianzhen Yu, Faiyaz Ahmad, Na Liu, Vincent C. Manganiello, Aibo Wu, Donglin Yang and Zhigang Xu and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Geophysical Research Atmospheres and PLoS ONE.

In The Last Decade

Yan Tang

53 papers receiving 1.3k citations

Peers

Yan Tang
Comparison fields: 5 of 124
  • Molecular Biology 780
  • Cancer Research 279
  • Oncology 168
  • Epidemiology 160
  • Physiology 148
Replace Yin‐Ming Kuo with:
Yin‐Ming Kuo United States
Bo Pang China
Huanhuan Chen China
Bárbara H. Zimmermann United States
Elitsa Y. Dimova Finland
Kiminobu Goto Japan
Heinrich Heide Germany
Toshihiko Yanase Japan
Shaoyu Chen United States
Yin‐Ming Kuo United States View profile →
Citations per field, relative to Yan Tang
Yan Tang · 1×
Citations per year, relative to Yan Tang
Yan Tang · 1×

Countries citing papers authored by Yan Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Tang. A scholar is included among the top collaborators of Yan 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 Yan Tang. Yan 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 1
3 0
4 2
5 1
6 3
7 34
8 8
9 1
10 30
11 26
12 19
13 10
14 78
15 20
16
EFFECT OF SELENIUM ON PROTEIN P16 EXPRESSION IN THE TESTICLE SPERMATOGONIUM OF RAT WITH COLON CANCER INDUCED BY AZOXYMETHANE
1
17
Association of IL-10-819 Polymorphism with the Susceptibility to Severe Chronic Periodontitis in Chinese Han Nationality.
5
18 6
19 15
20 15

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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