X. Lin

1.2k citations
22 papers · 916 · h-index 13

Impact in

Papers in

X. Lin

21 papers receiving 869 citations

Peers

X. Lin
Comparison fields: 5 of 84
  • Endocrine and Autonomic Systems 159
  • Behavioral Neuroscience 64
  • Cognitive Neuroscience 316
  • Experimental and Cognitive Psychology 198
  • Biological Psychiatry 29
Replace Roberto De Luca with:
Roberto De Luca United States
Michio Niimi Japan
Heather A. Mitchell United States
Mark A. Kimak United States
Anja Finn Sweden
Zenei Arihara Japan
Dongsheng Zhang China
Giorgio Bergamini Switzerland
Yumiko Nishikawa Japan
X. Lin relative to Roberto De Luca United States Roberto De Luca's profile →
Citations per field
00.5×4.3×
Roberto De Luca · 1×
Citations per year

Countries citing papers authored by X. Lin

Since Specialization
Citations

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

Fields of papers citing papers by X. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020220
2 1994166
3 2007131
4 199795
5 200857
6 200247
7 201944
8 201235
9 201829
10 199225
11 199518
12 201315
13 201814
14 19988
15 20164
16 20132
17 20222
18 20221
19 20121
20 20201

About X. Lin

X. Lin is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Experimental and Cognitive Psychology and Immunology, having authored 22 papers that have together received 916 indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (4 papers), Genetic Neurodegenerative Diseases (2 papers), Sphingolipid Metabolism and Signaling (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Sleep and related disorders (2 papers), Cancer-related molecular mechanisms research (2 papers), Cardiac Fibrosis and Remodeling (2 papers) and Aortic Disease and Treatment Approaches (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (159 citations), Behavioral Neuroscience (64 citations), Cognitive Neuroscience (316 citations), Experimental and Cognitive Psychology (198 citations) and Biological Psychiatry (29 citations). X. Lin has collaborated with scholars based in United States, Singapore and Japan. Frequent co-authors include Chin Cheng Woo, V. A. Sorokin, Emmanuel Mignot, Roger Foo, Theo Kofidis, Catherine M. Shanahan, Keeran Vickneson, Joachim Hallmayer, F. Carl Grumet and William C. Dement. Their work appears in journals such as Atherosclerosis, SLEEP, Molecular Psychiatry, Neurology and Frontiers in Immunology.

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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