Lan Bao

6.4k citations
95 papers · 5.1k · h-index 37

Impact in

Papers in

Lan Bao

90 papers receiving 5.1k citations

Peers

Lan Bao
Comparison fields: 5 of 118
  • Cellular and Molecular Neuroscience 2.4k
  • Physiology 1.9k
  • Sensory Systems 271
  • Developmental Neuroscience 178
  • Molecular Biology 2.6k
Replace Sharon Averill with:
Sharon Averill United Kingdom
Adam J. Shaywitz United States
T. Renee Dawson United States
Jeremy B. Tuttle United States
Marina M. Mata United States
Hiroyuki Sakagami Japan
PETER A. J. SMITH Canada
Anne W. Mudge United Kingdom
Herman Moreno United States
Lan Bao relative to Sharon Averill United Kingdom Sharon Averill's profile →
Citations per field
00.5×2×4×6×7.2×
Sharon Averill · 1×
Citations per year

Countries citing papers authored by Lan Bao

Since Specialization
Citations

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

Fields of papers citing papers by Lan Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002440
2 2015364
3 2010345
4 2010191
5 2011190
6 1997168
7 2012150
8 2003149
9 1997144
10 2021142
11 1994131
12 2005128
13 2004111
14 1998109
15 2012107
16 200295
17 200389
18 199884
19 200679
20 201173

About Lan Bao

Lan Bao is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Cell Biology and Sensory Systems, having authored 95 papers that have together received 5.1k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (35 papers), Neuropeptides and Animal Physiology (28 papers), Receptor Mechanisms and Signaling (15 papers), Ion channel regulation and function (14 papers), Microtubule and mitosis dynamics (13 papers), Nerve injury and regeneration (11 papers), Neuroscience and Neuropharmacology Research (9 papers) and Ubiquitin and proteasome pathways (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.4k citations), Physiology (1.9k citations), Sensory Systems (271 citations), Developmental Neuroscience (178 citations) and Molecular Biology (2.6k citations). Lan Bao has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Tomas G. M. Hökfelt, Ying‐Jin Lu, Huasheng Xiao, R. Elde, Qiong A Wang, Fang‐Xiong Zhang, Ji‐Song Guan, Qing Xu, Xu Zhang and Xue-Qin Zhang. Their work appears in journals such as Cell Research, Journal of Neuroscience, Journal of Molecular Cell Biology, Proceedings of the National Academy of Sciences and Molecular Pain.

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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