Hong Shen

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

Impact in

Papers in

Hong Shen

63 papers receiving 1.6k citations

Peers

Hong Shen
Comparison fields: 5 of 107
  • Developmental Neuroscience 160
  • Biological Psychiatry 83
  • Behavioral Neuroscience 61
  • Cancer Research 235
  • Neurology 124
Replace Tsuyoshi Hattori with:
Tsuyoshi Hattori Japan
Ella Zeldich United States
Yu-Ping Peng China
Cinzia Ferri Italy
Juan G. Zarruk Canada
Lidia García‐Bonilla United States
Alessandro Castorina Italy
María Isabel Cuartero Spain
Lubov Nathanson United States
Hong Shen relative to Tsuyoshi Hattori Japan Tsuyoshi Hattori's profile →
Citations per field
00.5×1.5×2.3×
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 2001270
2 2001105
3 2007102
4 200473
5 201364
6 201361
7 201560
8 201845
9 202045
10 202339
11 201437
12 201733
13 200931
14 201429
15 202229
16 201428
17 201327
18 201525
19 202125
20 200823

About Hong Shen

Hong Shen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cancer Research, Surgery and Psychiatry and Mental health, having authored 64 papers that have together received 1.6k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Neuroscience and Neuropharmacology Research (5 papers), RNA Interference and Gene Delivery (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Epigenetics and DNA Methylation (3 papers), Epilepsy research and treatment (3 papers), Cancer-related molecular mechanisms research (3 papers) and Cerebrospinal fluid and hydrocephalus (3 papers). The work is most often cited by research in Developmental Neuroscience (160 citations), Biological Psychiatry (83 citations), Behavioral Neuroscience (61 citations), Cancer Research (235 citations) and Neurology (124 citations). Hong Shen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Carl W. Cotman, R. Balázs, Liqi Tong, Victoria M. Perreau, Zhiguo Lin, Hong Xiao, Qingyi Wei, Xian Wang, Zhibin Hu and Qingwu Jiang. Their work appears in journals such as Basic & Clinical Pharmacology & Toxicology, International Journal of Molecular Medicine, Epilepsy Research, Lipids in Health and Disease and Cancer Cell International.

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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