Lanxiang Li

11 papers receiving 209 citations

Lanxiang Li's Hit Papers

Systematic comparison of sequencing-based spatial transcriptomic methods 2024 · 88 citations
880+1Years since publication255075

Peers

Lanxiang Li
Comparison fields: 5 of 61
  • Behavioral Neuroscience 26
  • Endocrine and Autonomic Systems 10
  • Social Psychology 32
  • Sensory Systems 7
  • Cellular and Molecular Neuroscience 25
Replace Jiahao Ye with:
Jiahao Ye China
Claire L. Dent United Kingdom
Haley Hrncir United States
Gráinne I. McNamara United Kingdom
Jordan A. Brown United States
Matthew Anderson United States
Russell J. Bonaguro Canada
Stacie L. Taylor United States
Stefanie Krug United States
Rebecca Howell United States
Lanxiang Li relative to Jiahao Ye China Jiahao Ye's profile →
Citations per field
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Jiahao Ye · 1×
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Countries citing papers authored by Lanxiang Li

Since Specialization
Citations

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

Fields of papers citing papers by Lanxiang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
Systematic comparison of sequencing-based spatial transcriptomic methods
Hit paper breakdown →
202488
2 201975
3 202211
4 201311
5 20247
6 20227
7 20226
8 20235
9 20142
10 20241
11 20181
12 20250

About Lanxiang Li

Lanxiang Li is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Social Psychology, Plant Science and Infectious Diseases, having authored 12 papers that have together received 214 indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (3 papers), Chromosomal and Genetic Variations (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Neural dynamics and brain function (2 papers), Circadian rhythm and melatonin (1 paper), Tuberculosis Research and Epidemiology (1 paper), Remote Sensing in Agriculture (1 paper) and Enzyme Catalysis and Immobilization (1 paper). The work is most often cited by research in Behavioral Neuroscience (26 citations), Endocrine and Autonomic Systems (10 citations), Social Psychology (32 citations), Sensory Systems (7 citations) and Cellular and Molecular Neuroscience (25 citations). Lanxiang Li has collaborated with scholars based in China, Germany and Portugal. Frequent co-authors include Robert K. Naumann, Michael Brecht, Constanze Lenschow, Prateep Beed, Ann M. Clemens, Hong Wang, Rosanna P. Sammons, Dietmar Schmitz, Matthew E. Ritchie and Fuqing Jiang. Their work appears in journals such as Vaccine, European Journal of Clinical Microbiology & Infectious Diseases, Frontiers in Oncology, Current Biology and Retrovirology.

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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