Hong Shen

2.3k citations
64 papers · 1.6k · h-index 22

Impact in

Papers in

    • RNA Interference and Gene Delivery 5
    • DNA Repair Mechanisms 4
    • Circular RNAs in diseases 3
    • Epigenetics and DNA Methylation 3
    • MicroRNA in disease regulation 7
    • Cancer-related molecular mechanisms research 6

Hong Shen

63 papers receiving 1.6k citations

Peers

Hong Shen
Comparison fields: 5 of 115
  • Developmental Neuroscience 175
  • Biological Psychiatry 86
  • Behavioral Neuroscience 71
  • Cancer Research 300
  • Neurology 136
Replace Tsuyoshi Hattori with:
Tsuyoshi Hattori Japan
Yu-Ping Peng China
Ella Zeldich United States
Juan G. Zarruk Canada
Haixia Lü China
María Isabel Cuartero Spain
Alessandro Castorina Italy
Jaime Ramos‐Cejudo United States
Hong Shen relative to Tsuyoshi Hattori Japan Tsuyoshi Hattori's profile →
Citations per field
00.5×
Tsuyoshi Hattori · 1×
Citations per year

Countries citing papers authored by Hong Shen

Since Specialization
Citations

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

Fields of papers citing papers by Hong Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001268
2 2001104
3 2007101
4 200473
5 201363
6 201560
7 201360
8 202045
9 201843
10 202336
11 201436
12 200931
13 201731
14 202228
15 201428
16 201427
17 201326
18 202125
19 201524
20 200822

About Hong Shen

Hong Shen is a scholar working on Molecular Biology, Cancer Research, Surgery, Cellular and Molecular Neuroscience and Psychiatry and Mental health, having authored 64 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (6 papers), RNA Interference and Gene Delivery (5 papers), DNA Repair Mechanisms (4 papers), Circular RNAs in diseases (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Developmental Neuroscience (175 citations), Biological Psychiatry (86 citations), Behavioral Neuroscience (71 citations), Cancer Research (300 citations) and Neurology (136 citations). Hong Shen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include R. Balázs, Liqi Tong, Carl W. Cotman, Victoria M. Perreau, Zhiguo Lin, Hong Xiao, Xian Wang, Qingyi Wei, Zhibin Hu and Jian Ming Wang. Their work appears in journals such as Basic & Clinical Pharmacology & Toxicology, World Neurosurgery, Epilepsy Research, Journal of Psychiatric Research and Lipids in Health and Disease.

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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