Deshun Shi

102 papers receiving 918 citations

Peers

Deshun Shi
Comparison fields: 5 of 80
  • Reproductive Medicine 163
  • Public Health, Environmental and Occupational Health 464
  • Genetics 305
  • Molecular Biology 628
  • Aging 14
Replace Chunling Bai with:
Chunling Bai China
Gabbine Wee South Korea
Xiaoe Zhao China
Pavneesh Madan Canada
Doris Herrmann Germany
Ki‐Eun Park United States
Zhiming Han China
Pedro M. Aponte Ecuador
Nathalie Peynot France
Guocheng Lan China
Deshun Shi relative to Chunling Bai China Chunling Bai's profile →
Citations per field
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Citations per year

Countries citing papers authored by Deshun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Deshun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deshun Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Deshun Shi Line = papers co-authored together Deshun Shi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20231
4 20234
5 20234
6 20221
7 20223
8 202115
9 20212
10 20212
11 20207
12 20204
13 202013
14 20196
15 201512
16
Cortical granule changes of buffalo oocytes during IVM and IVF.
20091
17
A Preliminary Study on Making Interspecific Chimeras between Cattle and Buffalo by Aggregating Blastomeres
20073
18
Comparison of enucleation protocols of buffalo oocytes
20060
19
Studies on the methods of buffalo somatic cells nuclear transfer
20051
20
A preliminary comparison between bovine cloned and recloned embryos
20001

About Deshun Shi

Deshun Shi is a scholar working on Reproductive Medicine, Aging, Public Health, Environmental and Occupational Health, Genetics and Molecular Biology, having authored 110 papers that have together received 934 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (63 papers), Pluripotent Stem Cells Research (37 papers), Animal Genetics and Reproduction (32 papers), CRISPR and Genetic Engineering (25 papers), Sperm and Testicular Function (25 papers), Tissue Engineering and Regenerative Medicine (17 papers), Renal and related cancers (13 papers) and Epigenetics and DNA Methylation (7 papers). The work is most often cited by research in Reproductive Medicine (163 citations), Public Health, Environmental and Occupational Health (464 citations), Genetics (305 citations), Molecular Biology (628 citations) and Aging (14 citations). Deshun Shi has collaborated with scholars based in China, United States and India. Frequent co-authors include Fenghua Lu, Qingyou Liu, Kuiqing Cui, Sufang Yang, Yingming Wei, Jingwei Wei, Jianrong Jiang, Yanfei Deng, Chan Luo and Ben Huang. Their work appears in journals such as Theriogenology, Reproduction in Domestic Animals, Cellular Reprogramming, In Vitro Cellular & Developmental Biology - Animal and Reproduction Fertility and Development.

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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