Riqiang Yan

11.8k citations
99 papers · 8.1k indexed · 3 hit papers · h-index 42
Topics
Alzheimer's disease research and treatments (68 papers)Cholinesterase and Neurodegenerative Diseases (16 papers)Neuroinflammation and Neurodegeneration Mechanisms (13 papers)
Partner nations
United StatesChinaRussia

In The Last Decade

Riqiang Yan

97 papers receiving 8.0k citations

Hit Papers

Membrane-anchored aspartyl protease with Alzheimer's dise...19992026200820171999201420172505007501000

Peers

Riqiang Yan
Comparison fields: 5 of 126
  • Physiology 4.4k
  • Molecular Biology 3.3k
  • Pharmacology 1.8k
  • Cellular and Molecular Neuroscience 1.4k
  • Computational Theory and Mathematics 1.3k
Replace Stefan F. Lichtenthaler with:
Stefan F. Lichtenthaler Germany
Steven Estus United States
Nikolaos K. Robakis United States
Gopal Thinakaran United States
Jorge Busciglio United States
Mikio Shoji Japan
Lisa McConlogue United States
Tilman Oltersdorf United States
Huaibin Cai United States
Mary Jo LaDu United States
Riqiang Yan relative to Stefan F. Lichtenthaler Germany Stefan F. Lichtenthaler's profile →
Citations per field
00.5×1.5×
Stefan F. Lichtenthaler · 1×
Citations per year

Countries citing papers authored by Riqiang Yan

Since Specialization
Citations

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

Fields of papers citing papers by Riqiang Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riqiang Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Riqiang Yan. A scholar is included among the top collaborators of Riqiang Yan 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 Riqiang Yan. Riqiang Yan 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
#WorkIndexed citations
1 3
2 4
3 5
4 0
5 10
6 0
7 20
8 2
9 54
10 99
11 81
12 41
13 43
14 20
15 18
16
CHI's Eighth Annual World Pharmaceutical Congress. Targeting Alzheimer's with novel therapeutics: Part 2.
1
17 52
18 255
19 38
20 58

About Riqiang Yan

Riqiang Yan is a scholar working on Physiology, Developmental Neuroscience and Neurology, having authored 99 papers that have together received 8.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (68 papers), Cholinesterase and Neurodegenerative Diseases (16 papers) and Neuroinflammation and Neurodegeneration Mechanisms (13 papers). The work is most often cited by research in Physiology (4.4k citations), Pharmacology (1.8k citations) and Developmental Neuroscience (392 citations). Riqiang Yan has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Robert Vassar, Xiangyou Hu, Wanxia He, Philip C. Wong, Brati Das, Michael J. Bienkowski, Dora M. Kovacs, Mary E. Shuck, Huiyi Miao and Bruce D. Trapp. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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