Jun Shu

2.8k citations
68 papers · 1.6k indexed · h-index 23

Impact in

Papers in

    • Tissue Engineering and Regenerative Medicine 4
    • Ovarian function and disorders 10
    • Hypothalamic control of reproductive hormones 9

Jun Shu

65 papers receiving 1.6k citations

Peers

Jun Shu
Comparison fields: 5 of 117
  • Reproductive Medicine 531
  • Endocrine and Autonomic Systems 165
  • Behavioral Neuroscience 52
  • Developmental Neuroscience 56
  • Pathology and Forensic Medicine 226
Replace Lu Ding with:
Lu Ding China
Chandra Yallampalli United States
Erica Sarchielli Italy
Clara Crescioli Italy
Joanna Wojtkiewicz Poland
Silvia Capellino Germany
Yong Gao China
Vijay K. Yadav United States
Sara H. Windahl Sweden
Gunnar Selstam Sweden
Jun Shu relative to Lu Ding China Lu Ding's profile →
Citations per field
00.5×4.0×
Lu Ding · 1×
Citations per year

Countries citing papers authored by Jun Shu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009281
2 2007107
3 2012104
4 201271
5 200965
6 200953
7 202351
8 201551
9 202249
10 201049
11 200843
12 200842
13 201742
14 200436
15 201836
16 200833
17 200732
18 201828
19 202027
20 201227

About Jun Shu

Jun Shu is a scholar working on Surgery, Reproductive Medicine, Molecular Biology, Physiology and Pulmonary and Respiratory Medicine, having authored 68 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (10 papers), Ovarian function and disorders (10 papers), Hypothalamic control of reproductive hormones (9 papers), Asthma and respiratory diseases (8 papers), Tissue Engineering and Regenerative Medicine (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Reproductive System and Pregnancy (4 papers) and Vitamin D Research Studies (3 papers). The work is most often cited by research in Reproductive Medicine (531 citations), Endocrine and Autonomic Systems (165 citations), Behavioral Neuroscience (52 citations), Developmental Neuroscience (56 citations) and Pathology and Forensic Medicine (226 citations). Jun Shu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lubna Pal, Genevieve Neal‐Perry, Gohar Zeitlian, Keri Greenseid, Sangita Jindal, Anne M. Etgen, Cheryl Hickmon, Xiaojuan He, Sebiha Özkan and Aiping Lü. Their work appears in journals such as Endocrinology, Fertility and Sterility, Journal of Immunology Research, Biology of Reproduction and Cellular Reprogramming.

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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