Ying Lin

7.2k citations
83 papers · 5.2k indexed · h-index 34

Impact in

Papers in

Ying Lin

79 papers receiving 5.1k citations

Peers

Ying Lin
Comparison fields: 5 of 143
  • Cellular and Molecular Neuroscience 1.5k
  • Physiology 1.4k
  • Endocrine and Autonomic Systems 350
  • Developmental Neuroscience 212
  • Epidemiology 1.5k
Replace Takayuki Nakagawa with:
Takayuki Nakagawa Japan
Peng Liang China
P. Kay Lund United States
Ana M. Fernández Spain
Zhijun Zhang China
Russ Chess‐Williams United Kingdom
Sara De Biasi Italy
Lei Cao United States
Narendra N. Tandon United States
Ying Lin relative to Takayuki Nakagawa Japan Takayuki Nakagawa's profile →
Citations per field
00.5×1.6×
Takayuki Nakagawa · 1×
Citations per year

Countries citing papers authored by Ying Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ying Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20242
3 202314
4 20231
5 20232
6 202127
7 2021131
8 201915
9 201930
10 20186
11 201849
12 201731
13 20161
14 201453
15 2011122
16 2011150
17 201070
18 2006253
19
Vocal Individual Recognition of Acorn Woodpecker (Melanerpes formicivorus)
20051
20 200161

About Ying Lin

Ying Lin is a scholar working on Developmental Neuroscience, Developmental Biology, Cellular and Molecular Neuroscience, Complementary and alternative medicine and Aging, having authored 83 papers that have together received 5.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Adipose Tissue and Metabolism (9 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Receptor Mechanisms and Signaling (5 papers), Acupuncture Treatment Research Studies (5 papers), Mitochondrial Function and Pathology (4 papers), Cancer-related molecular mechanisms research (4 papers) and Cellular transport and secretion (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Physiology (1.4k citations), Endocrine and Autonomic Systems (350 citations), Developmental Neuroscience (212 citations) and Epidemiology (1.5k citations). Ying Lin has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Philipp E. Scherer, R. Suzanne Zukin, Anders H. Berg, Michael V. L. Bennett, Michael W. Rajala, Michael P. Lisanti, Vytenis Arvydas Skeberdis, Sonja Y. Grooms, Teresa Jover and Nir Barzilai. Their work appears in journals such as Journal of Neuroscience, Journal of Biological Chemistry, Neuron, BMJ Open and Nature Neuroscience.

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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