Tianlan Lu

2.0k citations
76 papers · 1.1k · h-index 22

Impact in

Papers in

    • Genetics and Neurodevelopmental Disorders 24
    • Genetic Associations and Epidemiology 13
    • Genomic variations and chromosomal abnormalities 5
    • Phosphodiesterase function and regulation 5

Tianlan Lu

74 papers receiving 1.1k citations

Peers

Tianlan Lu
Comparison fields: 5 of 94
  • Biological Psychiatry 48
  • Cognitive Neuroscience 282
  • Developmental Neuroscience 57
  • Genetics 377
  • Psychiatry and Mental health 133
Replace Matthew Hill with:
Matthew Hill United Kingdom
Tatsuyo Suzuki Japan
Patrice L. Whitehead United States
Johannes Schumacher Germany
Tianzhang Ye United States
Franziska Degenhardt Germany
Maile R. Brown United States
Pascal E. Sanchez United States
William Hennah Finland
Elizabeth Bien United States
Tianlan Lu relative to Matthew Hill United Kingdom Matthew Hill's profile →
Citations per field
00.5×1.5×
Matthew Hill · 1×
Citations per year

Countries citing papers authored by Tianlan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Tianlan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200767
2 200754
3 201553
4 200941
5 201638
6 201538
7 200734
8 201334
9 200732
10 201331
11 201129
12 200928
13 201528
14 201328
15 201625
16 201625
17 202224
18 201624
19 201323
20 201322

About Tianlan Lu

Tianlan Lu is a scholar working on Genetics, Molecular Biology, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Psychiatry and Mental health, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (24 papers), Autism Spectrum Disorder Research (20 papers), Genetic Associations and Epidemiology (13 papers), Schizophrenia research and treatment (6 papers), Phosphodiesterase function and regulation (5 papers), Genomic variations and chromosomal abnormalities (5 papers), Virology and Viral Diseases (4 papers) and Tryptophan and brain disorders (4 papers). The work is most often cited by research in Biological Psychiatry (48 citations), Cognitive Neuroscience (282 citations), Developmental Neuroscience (57 citations), Genetics (377 citations) and Psychiatry and Mental health (133 citations). Tianlan Lu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Dai Zhang, Weihua Yue, Meixiang Jia, Yanyan Ruan, Jing Liu, Yan Ruan, Jun Li, Hao Yan, Lifang Wang and Hao Yu. Their work appears in journals such as PLoS ONE, Frontiers in Psychiatry, Scientific Reports, Translational Psychiatry and Progress in Neuro-Psychopharmacology and Biological Psychiatry.

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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