Aifa Tang

1.9k total citations · 1 hit paper
23 papers, 1.5k citations indexed

About

Aifa Tang is a scholar working on Molecular Biology, Genetics and Reproductive Medicine. According to data from OpenAlex, Aifa Tang has authored 23 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Genetics and 4 papers in Reproductive Medicine. Recurrent topics in Aifa Tang's work include Epigenetics and DNA Methylation (5 papers), Ubiquitin and proteasome pathways (5 papers) and Sperm and Testicular Function (4 papers). Aifa Tang is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Ubiquitin and proteasome pathways (5 papers) and Sperm and Testicular Function (4 papers). Aifa Tang collaborates with scholars based in China. Aifa Tang's co-authors include Xiyun Yan, Ni Xie, Minmin Liang, Guohui Nie, Kelong Fan, Lizeng Gao, Mengjie Zhou, Tong Zhou, Bing Jiang and Demin Duan and has published in prestigious journals such as Nano Letters, Nature Protocols and Frontiers in Microbiology.

In The Last Decade

Aifa Tang

22 papers receiving 1.5k citations

Hit Papers

Standardized assays for determining the catalytic activit... 2018 2026 2020 2023 2018 250 500 750 1000

Peers

Aifa Tang
Comparison fields: 5 of 99
  • Materials Chemistry 1.1k
  • Molecular Biology 795
  • Biomedical Engineering 456
  • Electrical and Electronic Engineering 392
  • Cancer Research 96
Replace Chang-Bai Liu with:
Chang-Bai Liu China
Haichuan Zhu China
Yuedong Guo China
Mustafa Balcioglu United States
Valérie Marchi France
Xiyuan Dong China
Yulian Wu China
Wenchu Lin China
Chang-Bai Liu China View profile →
Citations per field, relative to Aifa Tang
Aifa Tang · 1×
Citations per year, relative to Aifa Tang
Aifa Tang · 1×

Countries citing papers authored by Aifa Tang

Since Specialization
Citations

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

Fields of papers citing papers by Aifa Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aifa Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Aifa Tang. A scholar is included among the top collaborators of Aifa 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 Aifa Tang. Aifa 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 53
3 175
4 2
5 16
6
Standardized assays for determining the catalytic activity and kinetics of peroxidase-like nanozymes breakdown →
1006
7 7
8 11
9 7
10 21
11 15
12 13
13 10
14 3
15 28
16 9
17 60
18 7
19 13
20
RAPD molecular marker and prediction of heterosis in the pig area.
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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