Shangang Li

629 total citations
32 papers, 396 citations indexed

About

Shangang Li is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Shangang Li has authored 32 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Genetics and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Shangang Li's work include Pluripotent Stem Cells Research (8 papers), Reproductive Biology and Fertility (8 papers) and CRISPR and Genetic Engineering (6 papers). Shangang Li is often cited by papers focused on Pluripotent Stem Cells Research (8 papers), Reproductive Biology and Fertility (8 papers) and CRISPR and Genetic Engineering (6 papers). Shangang Li collaborates with scholars based in China, South Korea and Germany. Shangang Li's co-authors include Xuejin Chen, Zhengbo Wang, Lixin Du, Jianjun Shi, Xuelian Xiong, Ling Wu, Yanyun Gu, Hui Z. Sheng, J. Leon Zhao and Yang Jiao and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Cell Metabolism.

In The Last Decade

Shangang Li

29 papers receiving 387 citations

Peers

Shangang Li
Comparison fields: 5 of 79
  • Molecular Biology 252
  • Public Health, Environmental and Occupational Health 80
  • Genetics 80
  • Pediatrics, Perinatology and Child Health 52
  • Cancer Research 51
Replace Dale McAninch with:
Dale McAninch Australia
Karin Bundschu Germany
Yufen Xie United States
Daniela L. Buscariollo United States
Jeongwoo Kwon South Korea
Julie Dufresne Canada
Maria Lucia Scaldaferri Italy
Wen Ying Chen Hong Kong
Stefanie Eggers Australia
Jonas Zaugg Switzerland
Dale McAninch Australia View profile →
Citations per field, relative to Shangang Li
Shangang Li · 1×
Citations per year, relative to Shangang Li
Shangang Li · 1×

Countries citing papers authored by Shangang Li

Since Specialization
Citations

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

Fields of papers citing papers by Shangang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shangang Li. A scholar is included among the top collaborators of Shangang Li 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 Shangang Li. Shangang Li 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 4
2 3
3 1
4 0
5 1
6 22
7 4
8 47
9 0
10 4
11 21
12 112
13 10
14 6
15 2
16
Rapid Prediction of Sheep Back Fat Thickness and Eye Muscle Area in Using Ultrasonic Technology
1
17
Determination of the susceptibility of Aedes aegpti and Ae. albopictus to commonly used insecticides in Hainan province.
1
18 31
19 4
20 35

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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