Shaohui Pan

657 citations
20 papers · 574 · h-index 14

Impact in

Papers in

    • Pluripotent Stem Cells Research 9
    • Renal and related cancers 5
    • RNA Interference and Gene Delivery 3
    • Mesenchymal stem cell research 5
    • Animal Genetics and Reproduction 3

Shaohui Pan

19 papers receiving 547 citations

Peers

Shaohui Pan
Comparison fields: 5 of 68
  • Reproductive Medicine 88
  • Genetics 96
  • Genetics 188
  • Public Health, Environmental and Occupational Health 137
  • Molecular Biology 340
Replace Sung‐Keun Kang with:
Sung‐Keun Kang South Korea
Daiji Okamura Japan
S. Fishel United Kingdom
Arvind Dev United States
Jenny L. Kerschner United States
Sriti Pandey India
Charlotte Brandt Sørensen Denmark
Laurent Boulanger France
Jolanta Opiela Poland
Seung Pyo Gong South Korea
Shaohui Pan relative to Sung‐Keun Kang South Korea Sung‐Keun Kang's profile →
Citations per field
00.5×1.5×
Sung‐Keun Kang · 1×
Citations per year

Countries citing papers authored by Shaohui Pan

Since Specialization
Citations

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

Fields of papers citing papers by Shaohui Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shaohui Pan, 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 Shaohui Pan Line = papers co-authored together Shaohui Pan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 199194
2 201486
3 200966
4 200959
5 201136
6 200333
7 201130
8 202126
9 201325
10 201425
11 201525
12 201216
13 201616
14 199214
15 20167
16 20165
17 20245
18 20104
19
Isolation and cultivation of pluripotent male germline stem cells(mGSCs) derived from adult KM mouse testis
20101
20 20191

About Shaohui Pan

Shaohui Pan is a scholar working on Molecular Biology, Genetics, Public Health, Environmental and Occupational Health, Genetics and Surgery, having authored 20 papers that have together received 574 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (9 papers), Renal and related cancers (5 papers), Mesenchymal stem cell research (5 papers), Reproductive Biology and Fertility (5 papers), Animal Genetics and Reproduction (3 papers), RNA Interference and Gene Delivery (3 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Sperm and Testicular Function (2 papers). The work is most often cited by research in Reproductive Medicine (88 citations), Genetics (96 citations), Genetics (188 citations), Public Health, Environmental and Occupational Health (137 citations) and Molecular Biology (340 citations). Shaohui Pan has collaborated with scholars based in China, Tunisia and United States. Frequent co-authors include Jinlian Hua, Wuzi Dong, Chunrong Yang, Theodore C. Pellas, Balaji Ramachandran, Kiran Chada, Maria Marone, Melinda K. Duncan, Kuldip Sidhu and Weishuai Liu. Their work appears in journals such as Cell Proliferation, Cell Biochemistry and Function, Cellular Reprogramming, Journal of Cellular Biochemistry and Tissue and Cell.

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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