Tian Wang

876 total citations
27 papers, 510 citations indexed

About

Tian Wang is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Tian Wang has authored 27 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Plant Science. Recurrent topics in Tian Wang's work include Genetic Mapping and Diversity in Plants and Animals (4 papers), Ruminant Nutrition and Digestive Physiology (3 papers) and Ion channel regulation and function (3 papers). Tian Wang is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (4 papers), Ruminant Nutrition and Digestive Physiology (3 papers) and Ion channel regulation and function (3 papers). Tian Wang collaborates with scholars based in China, United States and Russia. Tian Wang's co-authors include Hongying Sha, Helen L. Zhang, Yunxia Cao, Jianhong Zhu, Dongmei Ji, Jiayao Yu, Yi Li, Xiang Zhong, Steven A. Weinman and Stanley M. Lemon and has published in prestigious journals such as Science, Cell and PLoS ONE.

In The Last Decade

Tian Wang

26 papers receiving 496 citations

Peers

Tian Wang
Comparison fields: 5 of 91
  • Molecular Biology 280
  • Obstetrics and Gynecology 78
  • Clinical Biochemistry 63
  • Public Health, Environmental and Occupational Health 59
  • Genetics 59
Replace Caixia Lü with:
Caixia Lü China
Amit R. Majithia United States
Kun Tan China
Myrna Sabanero Mexico
Н. Т. Райхлин Russia
Xiu-Ying Huang China
Sayaka Nishikawa Japan
Devika Ganesamoorthy Australia
Xiaowei Gu China
Changxu Song China
Caixia Lü China View profile →
Citations per field, relative to Tian Wang
Tian Wang · 1×
Citations per year, relative to Tian Wang
Tian Wang · 1×

Countries citing papers authored by Tian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tian Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Tian Wang. A scholar is included among the top collaborators of Tian Wang 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 Tian Wang. Tian Wang 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 2
2 4
3 7
4 2
5 2
6 1
7 6
8 73
9 96
10 4
11 6
12 53
13 6
14 13
15 8
16 2
17 124
18 56
19
A New Model for Apoptosis Research: Yeast
3
20
Applications of Molecular Markers in Gene Tagging and Assisted Selection in Maize
1

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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