Lin Che

1.7k citations
42 papers · 1.3k indexed · 1 hit paper · h-index 15

Impact in

Papers in

Lin Che

41 papers receiving 1.3k citations

Hit Papers

miR-222 Is Necessary for Exercise-Induced Cardiac Growth and Protects against Pathological Cardiac Remodeling 2015 · 312 citations
3122015202620182022100200300

Peers

Lin Che
Comparison fields: 5 of 119
  • Cancer Research 454
  • Cardiology and Cardiovascular Medicine 477
  • Molecular Biology 773
  • Complementary and alternative medicine 88
  • Rehabilitation 49
Replace Tiago Lazzaretti Fernandes with:
Tiago Lazzaretti Fernandes Brazil
Jiawei Shi China
Fan Xu China
Chenguang Niu China
Jason D. Roh United States
Yun Xie China
Dongze Qin China
Xiaobin Guo China
Heikki Turto Finland
Lin Che relative to Tiago Lazzaretti Fernandes Brazil Tiago Lazzaretti Fernandes's profile →
Citations per field
00.5×2.5×
Tiago Lazzaretti Fernandes · 1×
Citations per year

Countries citing papers authored by Lin Che

Since Specialization
Citations

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

Fields of papers citing papers by Lin Che

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
miR-222 Is Necessary for Exercise-Induced Cardiac Growth and Protects against Pathological Cardiac Remodeling
Hit paper breakdown →
2015312
2 2017181
3 2017162
4 2016123
5 201663
6 201659
7 202252
8 201845
9 201635
10 202134
11 201532
12 201730
13 201629
14 202325
15 201717
16 202214
17 202112
18 20229
19 20169
20 20208

About Lin Che

Lin Che is a scholar working on Complementary and alternative medicine, Cardiology and Cardiovascular Medicine, Cancer Research, Ecological Modeling and Otorhinolaryngology, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Cardiovascular and exercise physiology (6 papers), Cardiovascular Function and Risk Factors (5 papers), Cardiovascular Effects of Exercise (4 papers), Heart Failure Treatment and Management (4 papers), Circular RNAs in diseases (3 papers), Heart Rate Variability and Autonomic Control (3 papers) and Fuel Cells and Related Materials (3 papers). The work is most often cited by research in Cancer Research (454 citations), Cardiology and Cardiovascular Medicine (477 citations), Molecular Biology (773 citations), Complementary and alternative medicine (88 citations) and Rehabilitation (49 citations). Lin Che has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Junjie Xiao, Jiahong Xu, Yihua Bei, Anthony Rosenzweig, Tianzhao Xu, Chunxiang Zhang, Xiaojun Liu, Chunyang Xiao, Han Zhu and Pontus Boström. Their work appears in journals such as Theranostics, Oncotarget, BMC Cardiovascular Disorders, Journal of Cellular and Molecular Medicine and Cell Metabolism.

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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