Feng Tang

1.9k total citations
82 papers, 1.4k citations indexed

About

Feng Tang is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Feng Tang has authored 82 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 22 papers in Cancer Research and 19 papers in Immunology. Recurrent topics in Feng Tang's work include Cancer-related molecular mechanisms research (12 papers), Glioma Diagnosis and Treatment (11 papers) and MicroRNA in disease regulation (9 papers). Feng Tang is often cited by papers focused on Cancer-related molecular mechanisms research (12 papers), Glioma Diagnosis and Treatment (11 papers) and MicroRNA in disease regulation (9 papers). Feng Tang collaborates with scholars based in China, United States and Germany. Feng Tang's co-authors include Tao Xi, Le Guo, Rui Zhang, Yunmian He, Meijuan Zou, Bing Zhao, Erbao Bian, Yadi Xu, Hongliang Wang and Zhihao Yang and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Biochemical and Biophysical Research Communications.

In The Last Decade

Feng Tang

80 papers receiving 1.4k citations

Peers

Feng Tang
Comparison fields: 5 of 126
  • Molecular Biology 656
  • Cancer Research 372
  • Cardiology and Cardiovascular Medicine 276
  • Immunology 161
  • Oncology 135
Replace Hongwei Li with:
Hongwei Li China
Jianhua Yao China
Yi Xie China
Naohiko Kobayashi Japan
Herbert Schramek Austria
Yuxin Xu China
Jörg Weiske Germany
Dan Lü China
Jing Bian China
Weiping Wang China
Hongwei Li China View profile →
Citations per field, relative to Feng Tang
Feng Tang · 1×
Citations per year, relative to Feng Tang
Feng Tang · 1×

Countries citing papers authored by Feng Tang

Since Specialization
Citations

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

Fields of papers citing papers by Feng Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Tang. A scholar is included among the top collaborators of Feng 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 Feng Tang. Feng 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 2
2 3
3 13
4 3
5 2
6 1
7 2
8 3
9 12
10 9
11 16
12 9
13 7
14 14
15 23
16
Seroprevalence and risk factors for Toxoplasma gondii in sheep and goats in Jinzhou, Northeastern China.
13
17
[Relationship between breast cancer molecular subtypes with clinicopathological characteristics and prognosis].
2
18 1
19 101
20
Cloning of a cDNA (Accession No. AF061157) Homologous to Lemna gibba Negatively-Regulated mRNA from Tung Seed (PGR99-010).
3

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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