Jun Shen

1.0k citations
52 papers · 827 · h-index 18

Impact in

Papers in

Jun Shen

51 papers receiving 813 citations

Peers

Jun Shen
Comparison fields: 5 of 112
  • Endocrinology, Diabetes and Metabolism 454
  • Pediatrics, Perinatology and Child Health 182
  • Nutrition and Dietetics 94
  • Endocrine and Autonomic Systems 41
  • Pathology and Forensic Medicine 92
Replace Y. Kawashima with:
Y. Kawashima Japan
Zhixin Wang China
Paula Frizera Vassallo Brazil
Zhongxin Zhu China
Fouzia Rashid India
Antonina Orlando Italy
Jan Jiskra Czechia
Zeynep Öztürk Türkiye
Jun Shen relative to Y. Kawashima Japan Y. Kawashima's profile →
Citations per field
00.5×3.7×
Y. Kawashima · 1×
Citations per year

Countries citing papers authored by Jun Shen

Since Specialization
Citations

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

Fields of papers citing papers by Jun Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201977
2 201266
3 201142
4 201341
5 201240
6 201638
7 201931
8 201530
9 201629
10 201825
11 201824
12 201922
13 201422
14 201421
15 201819
16 201919
17 201718
18 201918
19 201816
20 201815

About Jun Shen

Jun Shen is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Oncology, Pathology and Forensic Medicine and Epidemiology, having authored 52 papers that have together received 827 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (29 papers), Thyroid Cancer Diagnosis and Treatment (18 papers), Neonatal Health and Biochemistry (8 papers), Vitamin D Research Studies (7 papers), Cancer survivorship and care (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Cancer-related cognitive impairment studies (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (454 citations), Pediatrics, Perinatology and Child Health (182 citations), Nutrition and Dietetics (94 citations), Endocrine and Autonomic Systems (41 citations) and Pathology and Forensic Medicine (92 citations). Jun Shen has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Wanqi Zhang, Long Tan, Wen Chen, Liqin Chen, Elizabeth N. Pearce, Zhongna Sang, Wei Wei, Xiaofei Liu, Zhong Sun and Yanting Chen. Their work appears in journals such as Journal of Nutrition, American Journal of Clinical Nutrition, Clinical Endocrinology, Journal of Trace Elements in Medicine and Biology and Psychology Research and Behavior Management.

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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