Long Shen

76 papers receiving 1.5k citations

Peers

Long Shen
Comparison fields: 5 of 110
  • Physiology 580
  • Internal Medicine 66
  • Cardiology and Cardiovascular Medicine 209
  • Rheumatology 130
  • Immunology 181
Replace Anna Bodzenta­‐Łukaszyk with:
Anna Bodzenta­‐Łukaszyk Poland
Nicolas Delaleu Norway
Naoaki Tamura Japan
Sonia I. Skarlatos United States
Mitsuru Munakata Japan
Bogdan Jakieła Poland
Osamu Ishiko Japan
Monica V. Talor United States
Nicholas K. Harrison United Kingdom
Munif Haddad Germany
Long Shen relative to Anna Bodzenta­‐Łukaszyk Poland Anna Bodzenta­‐Łukaszyk's profile →
Citations per field
00.5×3.2×
Anna Bodzenta­‐Łukaszyk · 1×
Citations per year

Countries citing papers authored by Long Shen

Since Specialization
Citations

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

Fields of papers citing papers by Long Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012110
2 201393
3 200682
4 201965
5 201562
6 200862
7 202054
8 200554
9 201051
10 201848
11 201547
12 201745
13 201342
14 202041
15 201641
16 201338
17 201838
18 200937
19 201433
20 201731

About Long Shen

Long Shen is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 78 papers that have together received 1.6k indexed citations. Recurring topics across this work include Salivary Gland Disorders and Functions (21 papers), Atrial Fibrillation Management and Outcomes (10 papers), Salivary Gland Tumors Diagnosis and Treatment (7 papers), Immune Cell Function and Interaction (6 papers), RNA Interference and Gene Delivery (5 papers), Diabetes Treatment and Management (5 papers), Systemic Lupus Erythematosus Research (4 papers) and Ocular Surface and Contact Lens (4 papers). The work is most often cited by research in Physiology (580 citations), Internal Medicine (66 citations), Cardiology and Cardiovascular Medicine (209 citations), Rheumatology (130 citations) and Immunology (181 citations). Long Shen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lakshmanan Suresh, Julian L. Ambrus, Zhi‐Chun Gu, Kishore S. Malyavantham, Hou‐Wen Lin, Jingxiu Xuan, Jun Pu, Chongjie Zhang, O. Pankewycz and Matthew J. Lindemann. Their work appears in journals such as Frontiers in Pharmacology, Clinical Immunology, The Journal of Immunology, Frontiers in Cardiovascular Medicine and Blood.

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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