Yan Yin

2.9k total citations · 1 hit paper
74 papers, 2.1k citations indexed

About

Yan Yin is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Yan Yin has authored 74 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 14 papers in Immunology and 11 papers in Genetics. Recurrent topics in Yan Yin's work include Reproductive System and Pregnancy (10 papers), Reproductive Biology and Fertility (6 papers) and Gut microbiota and health (6 papers). Yan Yin is often cited by papers focused on Reproductive System and Pregnancy (10 papers), Reproductive Biology and Fertility (6 papers) and Gut microbiota and health (6 papers). Yan Yin collaborates with scholars based in China, United States and Romania. Yan Yin's co-authors include Liang Ma, Congxing Lin, Pengbo Zhou, G. Michael Veith, Liren Liu, Congming Lu, Qingtao Lu, Xiaogang Wen, Fanxin Long and Xinli Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Yan Yin

71 papers receiving 2.1k citations

Hit Papers

Stem-cell-derived trophoblast organoids model human place... 2022 2026 2023 2024 2022 25 50 75 100

Peers

Yan Yin
Comparison fields: 5 of 135
  • Molecular Biology 1.2k
  • Genetics 302
  • Immunology 273
  • Plant Science 259
  • Cancer Research 165
Replace D. N. Rao Veeramachaneni with:
D. N. Rao Veeramachaneni United States
Bo Xiong China
Elizabeth M. Wilson United States
Michael Hartmann Germany
Ming Zhong China
Hynek Strnad Czechia
Mei Wang China
Xiansheng Zhang China
Tsuyoshi Nakanishi Japan
Xiang‐Shun Cui South Korea
D. N. Rao Veeramachaneni United States View profile →
Citations per field, relative to Yan Yin
Yan Yin · 1×
Citations per year, relative to Yan Yin
Yan Yin · 1×

Countries citing papers authored by Yan Yin

Since Specialization
Citations

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

Fields of papers citing papers by Yan Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Yin. A scholar is included among the top collaborators of Yan Yin 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 Yin. Yan Yin 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 3
3 0
4 7
5 18
6 21
7 18
8 2
9 31
10 50
11 48
12 47
13 34
14 8
15
A method to identify and analyze salivary enzymes of Bemisia tabaci adults.
1
16 99
17 37
18 156
19 13
20 33

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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