Chang‐Lin Lu

885 citations
38 papers · 752 · h-index 19

Impact in

Papers in

Chang‐Lin Lu

37 papers receiving 735 citations

Peers

Chang‐Lin Lu
Comparison fields: 5 of 82
  • Behavioral Neuroscience 91
  • Developmental Neuroscience 82
  • Cellular and Molecular Neuroscience 300
  • Biological Psychiatry 28
  • Endocrine and Autonomic Systems 77
Replace Ann‐Judith Silverman with:
Ann‐Judith Silverman United States
J.J. Barski Poland
Koichi Tanda Japan
Daniel H. Mascó Argentina
A-M O'Carroll United States
Toshiro Sakamoto Japan
Rémi Quirion Canada
Seiji Miyata Japan
Josue G. Yagüe Spain
Chang‐Lin Lu relative to Ann‐Judith Silverman United States Ann‐Judith Silverman's profile →
Citations per field
00.5×4.3×
Ann‐Judith Silverman · 1×
Citations per year

Countries citing papers authored by Chang‐Lin Lu

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Lin Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200174
2 199253
3 199151
4 199347
5 200644
6 200041
7 199839
8 200039
9 200036
10 200330
11 200926
12 199825
13 200023
14 201121
15 200020
16 200420
17 199120
18 200819
19 200318
20 201918

About Chang‐Lin Lu

Chang‐Lin Lu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Behavioral Neuroscience, Social Psychology and Developmental Neuroscience, having authored 38 papers that have together received 752 indexed citations. Recurring topics across this work include Nerve injury and regeneration (9 papers), Neuropeptides and Animal Physiology (8 papers), Stress Responses and Cortisol (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Neuroendocrine regulation and behavior (6 papers), Receptor Mechanisms and Signaling (5 papers), RNA regulation and disease (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). The work is most often cited by research in Behavioral Neuroscience (91 citations), Developmental Neuroscience (82 citations), Cellular and Molecular Neuroscience (300 citations), Biological Psychiatry (28 citations) and Endocrine and Autonomic Systems (77 citations). Chang‐Lin Lu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Majid B. Shaikh, Allan Siegel, Cheng He, Chun‐Lei Jiang, Uwe Jürgens, Li Cao, Zhe-Yu Chen, Chenghai Wang, Wei Zhu and Jianghong Li. Their work appears in journals such as Brain Research, Neuroreport, Biochemical and Biophysical Research Communications, American Journal of Physiology-Endocrinology and Metabolism and PPAR Research.

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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