Jun Shu

2.9k citations
70 papers · 1.7k · h-index 24

Impact in

Papers in

Jun Shu

68 papers receiving 1.7k citations

Peers

Jun Shu
Comparison fields: 5 of 113
  • Reproductive Medicine 477
  • Endocrine and Autonomic Systems 166
  • Developmental Neuroscience 57
  • Pathology and Forensic Medicine 217
  • Rehabilitation 79
Replace Mirca Marini with:
Mirca Marini Italy
Clara Crescioli Italy
Lu Ding China
Erica Sarchielli Italy
Silvia Capellino Germany
Yong Gao China
Nicoletta Fortunati Italy
Necdet Demır Türkiye
Ming Gong United States
Takeshi Kato Japan
Jun Shu relative to Mirca Marini Italy Mirca Marini's profile →
Citations per field
00.5×4.9×
Mirca Marini · 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 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009309
2 2007109
3 2012104
4 201275
5 200969
6 202258
7 201557
8 200957
9 202356
10 201050
11 200847
12 200845
13 200442
14 201742
15 200840
16 201837
17 200732
18 201230
19 202028
20
Transplantation of human amnion mesenchymal cells attenuates the disease development in rats with collagen-induced arthritis.
201528

About Jun Shu

Jun Shu is a scholar working on Reproductive Medicine, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Genetics, having authored 70 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (9 papers), Ovarian function and disorders (8 papers), Mesenchymal stem cell research (5 papers), Vitamin D Research Studies (4 papers), Asthma and respiratory diseases (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Neuroendocrine regulation and behavior (3 papers) and Tissue Engineering and Regenerative Medicine (3 papers). The work is most often cited by research in Reproductive Medicine (477 citations), Endocrine and Autonomic Systems (166 citations), Developmental Neuroscience (57 citations), Pathology and Forensic Medicine (217 citations) and Rehabilitation (79 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, Sangita Jindal, Keri Greenseid, Anne M. Etgen, Cheryl Hickmon, Sebiha Özkan, Xiaojuan He and Aiping Lü. Their work appears in journals such as Endocrinology, Fertility and Sterility, Journal of Immunology Research, Biology of Reproduction and Medicine.

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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