Lin He

2.5k citations
58 papers · 1.3k · h-index 16

Impact in

Papers in

Lin He

52 papers receiving 1.3k citations

Peers

Lin He
Comparison fields: 5 of 103
  • Geriatrics and Gerontology 183
  • Cancer Research 200
  • Physiology 57
  • Biological Psychiatry 28
  • Molecular Biology 819
Replace Federica Morani with:
Federica Morani Italy
Tanima SenGupta Norway
Javier Traba United States
David Martín‐Oliva Spain
Karina Balan United States
Dennis Abraham United States
Cyndi R. Morales United States
Andrey Nikiforov Russia
Lorena Esteban‐Martínez Spain
Sara Martire United States
Lin He relative to Federica Morani Italy Federica Morani's profile →
Citations per field
00.5×3.1×
Federica Morani · 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 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016320
2 2015130
3 2020116
4 2014111
5 201871
6 200768
7 201960
8 201654
9 201748
10 201743
11 200832
12 200630
13 202321
14 202116
15
Polymorphism of Prodynorphin promoter is associated with schizophrenia in Chinese population.
200416
16 201916
17 200915
18 200614
19 201914
20 202413

About Lin He

Lin He is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Control and Systems Engineering, Cancer Research and Materials Chemistry, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), High voltage insulation and dielectric phenomena (6 papers), Power Transformer Diagnostics and Insulation (5 papers), DNA Repair Mechanisms (4 papers), Underwater Acoustics Research (4 papers), Fault Detection and Control Systems (4 papers), Histone Deacetylase Inhibitors Research (4 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Geriatrics and Gerontology (183 citations), Cancer Research (200 citations), Physiology (57 citations), Biological Psychiatry (28 citations) and Molecular Biology (819 citations). Lin He has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Luyang Sun, Yongfeng Shang, Jing Liang, Jianguo Yang, Wanjin Li, Xia Yi, Ruorong Yan, Zhongyi Cheng, Lei Shi and Wenzhe Si. Their work appears in journals such as Nature Communications, Oncogene, Molecular Cell, Journal of Orthopaedic Surgery and Research and Pharmacogenetics and Genomics.

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.

Explore authors with similar magnitude of impact