Lan Bao

6.3k citations
87 papers · 4.7k · h-index 36

Impact in

Papers in

Lan Bao

83 papers receiving 4.7k citations

Peers

Lan Bao
Comparison fields: 5 of 114
  • Cellular and Molecular Neuroscience 2.2k
  • Physiology 1.8k
  • Sensory Systems 258
  • Developmental Neuroscience 167
  • Molecular Biology 2.4k
Replace Alfredo Ribeiro‐da‐Silva with:
Alfredo Ribeiro‐da‐Silva Canada
Marina Mata United States
Jeremy B. Tuttle United States
Adam J. Shaywitz United States
Anne W. Mudge United Kingdom
Hiroyuki Sakagami Japan
Z. David Luo United States
Dmitry Lim Italy
Toshiyuki Araki Japan
Lan Bao relative to Alfredo Ribeiro‐da‐Silva Canada Alfredo Ribeiro‐da‐Silva's profile →
Citations per field
00.5×1.5×
Alfredo Ribeiro‐da‐Silva · 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 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002417
2 2015339
3 2010335
4 2010182
5 2011181
6 1997163
7 2012138
8 2003137
9 1997132
10 2021126
11 1994123
12 2005118
13 2004109
14 2012104
15 1998101
16 200389
17 200284
18 199880
19 200676
20 200869

About Lan Bao

Lan Bao is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Cell Biology and Sensory Systems, having authored 87 papers that have together received 4.7k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (33 papers), Neuropeptides and Animal Physiology (27 papers), Receptor Mechanisms and Signaling (15 papers), Ion channel regulation and function (14 papers), Microtubule and mitosis dynamics (12 papers), Nerve injury and regeneration (11 papers), Ubiquitin and proteasome pathways (8 papers) and Cellular transport and secretion (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.2k citations), Physiology (1.8k citations), Sensory Systems (258 citations), Developmental Neuroscience (167 citations) and Molecular Biology (2.4k citations). Lan Bao has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Tomas Hökfelt, Ying‐Jin Lu, Huasheng Xiao, R. Elde, Qiong Wang, Fang‐Xiong Zhang, Ji‐Song Guan, Qing Xu, Xu Zhang and X Zhang. Their work appears in journals such as Cell Research, Journal of Neuroscience, Proceedings of the National Academy of Sciences, Journal of Molecular Cell Biology and Cell Reports.

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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