Huaibin Cai

13.2k total citations · 2 hit papers
117 papers, 8.8k citations indexed

About

Huaibin Cai is a scholar working on Neurology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Huaibin Cai has authored 117 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Neurology, 50 papers in Cellular and Molecular Neuroscience and 43 papers in Physiology. Recurrent topics in Huaibin Cai's work include Parkinson's Disease Mechanisms and Treatments (43 papers), Alzheimer's disease research and treatments (35 papers) and Amyotrophic Lateral Sclerosis Research (16 papers). Huaibin Cai is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (43 papers), Alzheimer's disease research and treatments (35 papers) and Amyotrophic Lateral Sclerosis Research (16 papers). Huaibin Cai collaborates with scholars based in United States, China and Germany. Huaibin Cai's co-authors include Philip C. Wong, Donald L. Price, Chengsong Xie, David Borchelt, Xian Lin, Hongjin Wen, Xinglong Gu, Weidong Le, Yanshu Wang and Diane B. McCarthy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Huaibin Cai

113 papers receiving 8.6k citations

Hit Papers

BACE1 is the major β-secretase for generation of Aβ pepti... 2001 2026 2009 2017 2001 2017 250 500 750

Peers

Huaibin Cai
Comparison fields: 5 of 131
  • Molecular Biology 3.7k
  • Physiology 3.4k
  • Neurology 3.2k
  • Cellular and Molecular Neuroscience 2.6k
  • Neurology 1.5k
Replace G. William Rebeck with:
G. William Rebeck United States
Wendy Noble United Kingdom
Mikio Shoji Japan
Diane P. Hanger United Kingdom
Nicolas Sergeant France
Jochen Walter Germany
José J. Lucas Spain
Pamela J. McLean United States
Mel Β. Feany United States
Jada Lewis United States
G. William Rebeck United States View profile →
Citations per field, relative to Huaibin Cai
Huaibin Cai · 1×
Citations per year, relative to Huaibin Cai
Huaibin Cai · 1×

Countries citing papers authored by Huaibin Cai

Since Specialization
Citations

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

Fields of papers citing papers by Huaibin Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huaibin Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Huaibin Cai. A scholar is included among the top collaborators of Huaibin Cai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Huaibin Cai. Huaibin Cai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 9
4 2
5 19
6 1
7 46
8 14
9 28
10 24
11 93
12 29
13 37
14 90
15 61
16 22
17 266
18 156
19 88
20 431

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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2026