Min Lin

780 citations
24 papers · 413 · h-index 11

Impact in

Papers in

Min Lin

24 papers receiving 409 citations

Peers

Min Lin
Comparison fields: 5 of 64
  • Endocrine and Autonomic Systems 171
  • Cardiology and Cardiovascular Medicine 185
  • Cellular and Molecular Neuroscience 96
  • Physiology 128
  • Neurology 35
Replace Daniela Accorsi–Mendonça with:
Daniela Accorsi–Mendonça Brazil
Jhansi Dyavanapalli United States
Carie R. Boychuk United States
Heather Jameson United States
Tannis A. Johnson United States
Cleyton R. Sobrinho Brazil
Cory A. Massey United States
R.L. Martin-Body New Zealand
R Alvarez-Buylla Mexico
Harue Suzuki Japan
Min Lin relative to Daniela Accorsi–Mendonça Brazil Daniela Accorsi–Mendonça's profile →
Citations per field
00.5×1.5×1.9×
Daniela Accorsi–Mendonça · 1×
Citations per year

Countries citing papers authored by Min Lin

Since Specialization
Citations

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

Fields of papers citing papers by Min Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200788
2 200757
3 200836
4 201234
5
Neonatal exposure to fluoxetine and fluvoxamine alteres spine density in mouse hippocampal CA1 pyramidal neurons.
201134
6 201021
7 201319
8 200119
9 201018
10 201018
11 199713
12 200910
13 200410
14 20119
15 20108
16 20114
17 20064
18 20133
19 20032
20 20072

About Min Lin

Min Lin is a scholar working on Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems, Molecular Biology, Cellular and Molecular Neuroscience and Neurology, having authored 24 papers that have together received 413 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (10 papers), Heart Rate Variability and Autonomic Control (9 papers), Cardiac electrophysiology and arrhythmias (8 papers), Ion channel regulation and function (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Neuroscience and Neural Engineering (4 papers), Vagus Nerve Stimulation Research (2 papers) and Heart rate and cardiovascular health (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (171 citations), Cardiology and Cardiovascular Medicine (185 citations), Cellular and Molecular Neuroscience (96 citations), Physiology (128 citations) and Neurology (35 citations). Min Lin has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Robert D. Wurster, Zixi Cheng, David Gozal, Mark W. Chapleau, Rugao Liu, William B. Wead, Zixi Cheng, Lihua Li, Jing Ai and Qinhui Chen. Their work appears in journals such as The FASEB Journal, Autonomic Neuroscience, Journal of Neurophysiology, American Journal of Physiology-Heart and Circulatory Physiology and American Journal of Physiology-Cell Physiology.

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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