Lin He

2.8k citations
77 papers · 2.0k · h-index 25

Impact in

  • Neurology top 5%
    • Transcranial Magnetic Stimulation Studies
    • Neurological disorders and treatments
    • Cancer-related molecular mechanisms research

Papers in

Lin He

73 papers receiving 2.0k citations

Peers

Lin He
Comparison fields: 5 of 148
  • Neurology 262
  • Cancer Research 291
  • Physiology 284
  • Neurology 153
  • Rehabilitation 63
Replace Jamie L. Marshall with:
Jamie L. Marshall United States
Courtney A. McDonald Australia
Karen J. Chandross United States
Zachary Thompson United States
Li Shen China
Bonnie I. Glanz United States
Yandong Zhao China
Kathryn J. Swoboda United States
Allan Micheil Innes Canada
Michelle Russell United States
Lin He relative to Jamie L. Marshall United States Jamie L. Marshall's profile →
Citations per field
00.5×2×2.5×
Jamie L. Marshall · 1×
Citations per year

Countries citing papers authored by Lin He

Since Specialization
Citations

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

Fields of papers citing papers by Lin He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005194
2 2010159
3 2017152
4 200399
5 201886
6 200578
7 201975
8 201971
9 201955
10 202251
11 202051
12 202145
13 202143
14 201143
15 202043
16 201742
17 201842
18 201939
19 201738
20 202136

About Lin He

Lin He is a scholar working on Cancer Research, Neurology, Oncology, Genetics and Molecular Biology, having authored 77 papers that have together received 2.0k indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (8 papers), Breast Cancer Treatment Studies (5 papers), Fluid Dynamics and Turbulent Flows (4 papers), HER2/EGFR in Cancer Research (3 papers), RNA modifications and cancer (3 papers), Wind and Air Flow Studies (3 papers), Atmospheric aerosols and clouds (3 papers) and Neural and Behavioral Psychology Studies (3 papers). The work is most often cited by research in Neurology (262 citations), Cancer Research (291 citations), Physiology (284 citations), Neurology (153 citations) and Rehabilitation (63 citations). Lin He has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Morgan A. McClure, Qiwen Mu, Zhiwei Guo, Yan Qin Huang, Bryan A. Game, Yuhua Song, George Necula, Klaus Victor Toyka, Claudia Sommer and Haitao Peng. Their work appears in journals such as Psychiatric Genetics, Medicine, PLoS ONE, Neural Plasticity and Cancer Management and Research.

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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