Xin‐Yun Lu

5.7k citations
72 papers · 4.6k indexed · h-index 36

Impact in

Papers in

Xin‐Yun Lu

72 papers receiving 4.5k citations

Peers

Xin‐Yun Lu
Comparison fields: 5 of 117
  • Endocrine and Autonomic Systems 1.8k
  • Behavioral Neuroscience 833
  • Biological Psychiatry 488
  • Developmental Neuroscience 337
  • Cellular and Molecular Neuroscience 1.1k
Replace Julie A. Chowen with:
Julie A. Chowen Spain
Tamás Kozicz Netherlands
Marcelo O. Dietrich United States
Chun‐Xia Yi Netherlands
Csaba Fekete Hungary
Goro Katsuura Japan
Alexis M. Stranahan United States
Jens D. Mikkelsen Denmark
Daniel M. Dorsa United States
Tamotsu Shibasaki Japan
Xin‐Yun Lu relative to Julie A. Chowen Spain Julie A. Chowen's profile →
Citations per field
00.5×1.6×
Julie A. Chowen · 1×
Citations per year

Countries citing papers authored by Xin‐Yun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xin‐Yun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xin‐Yun Lu. 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 Xin‐Yun Lu. The network helps show where Xin‐Yun Lu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20249
2 20231
3 20236
4 202211
5 202114
6 20206
7 201999
8 201927
9 201839
10 20173
11 201441
12 2011108
13
Rapid changes in night eating: Considering mechanisms (Eating and Weight Disorders (2010) 15, (e2-e8))
20101
14 2010113
15 200438
16 2003114
17 200211
18 200146
19 1999115
20 199925

About Xin‐Yun Lu

Xin‐Yun Lu is a scholar working on Endocrine and Autonomic Systems, Behavioral Neuroscience, Biological Psychiatry, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 72 papers that have together received 4.6k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (25 papers), Stress Responses and Cortisol (13 papers), Adipose Tissue and Metabolism (13 papers), Biochemical Analysis and Sensing Techniques (13 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Nerve injury and regeneration (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.8k citations), Behavioral Neuroscience (833 citations), Biological Psychiatry (488 citations), Developmental Neuroscience (337 citations) and Cellular and Molecular Neuroscience (1.1k citations). Xin‐Yun Lu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Stanley J. Watson, Huda Akil, Ming Guo, Jacob C. Garza, Gregory S. Barsh, Chung Sub Kim, PM Richardson, Alan Frazer, Wei Zhang and Didier Bagnol. Their work appears in journals such as Molecular Psychiatry, Endocrinology, The International Journal of Neuropsychopharmacology, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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