Lin Dong

28 papers receiving 540 citations

Peers

Lin Dong
Comparison fields: 5 of 98
  • Biological Psychiatry 26
  • Applied Microbiology and Biotechnology 8
  • Neurology 31
  • Developmental Neuroscience 15
  • Behavioral Neuroscience 13
Replace Qiang Yuan with:
Qiang Yuan China
Puneet Talwar India
Neha Singh India
Anthony J. Carlos United States
Xiu‐Min Lu China
Wan‐Yu Lo Taiwan
Shuanglian Wang China
Hongqing Zhao China
Sijung Yun United States
Rezaul Islam Germany
Lin Dong relative to Qiang Yuan China Qiang Yuan's profile →
Citations per field
00.5×2.7×
Qiang Yuan · 1×
Citations per year

Countries citing papers authored by Lin Dong

Since Specialization
Citations

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

Fields of papers citing papers by Lin Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012172
2 202246
3 201239
4 201738
5 201236
6 202126
7 202123
8 201921
9 202118
10 202016
11 202216
12 201815
13 202315
14 202014
15 202212
16 20226
17 20196
18
[The role of external signal regulated kinase and transforming growth factor beta(1) in asthma airway remodeling and regulation of glucocorticoids].
20076
19 20206
20 20234

About Lin Dong

Lin Dong is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Oncology and Molecular Medicine, having authored 31 papers that have together received 550 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (3 papers), Antibiotic Resistance in Bacteria (3 papers), Glycosylation and Glycoproteins Research (2 papers), Advanced Fiber Optic Sensors (2 papers), Nuclear Receptors and Signaling (2 papers), Vestibular and auditory disorders (2 papers), Advanced Fiber Laser Technologies (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Biological Psychiatry (26 citations), Applied Microbiology and Biotechnology (8 citations), Neurology (31 citations), Developmental Neuroscience (15 citations) and Behavioral Neuroscience (13 citations). Lin Dong has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Erkang Fei, Neha Zutshi, Bhopal Mohapatra, Zhen Zheng, Nicholas Y. Palermo, Amarnath Natarajan, Gulzar Ahmad, Dan Feng, Srikumar M. Raja and Wei An. Their work appears in journals such as Cell & Bioscience, The Astronomical Journal, Molecular Psychiatry, Alzheimer s & Dementia Translational Research & Clinical Interventions and International Immunopharmacology.

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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