C. Kimberly Tsui

2.0k citations
18 papers · 1.1k indexed · h-index 12
Topics
Genetics, Aging, and Longevity in Model Organisms (3 papers)Endoplasmic Reticulum Stress and Disease (3 papers)CRISPR and Genetic Engineering (3 papers)
Partner nations
United StatesCanadaIndia

In The Last Decade

C. Kimberly Tsui

17 papers receiving 1.1k citations

Peers

C. Kimberly Tsui
Comparison fields: 5 of 92
  • Molecular Biology 632
  • Cellular and Molecular Neuroscience 337
  • Cell Biology 189
  • Immunology 120
  • Neurology 102
Replace Yanshan Fang with:
Yanshan Fang China
Gilad D. Evrony United States
Angela M. Mabb United States
Cristiana Mollinari Italy
Leonardo Almeida‐Souza Belgium
Emily M. Hatch United States
Julie Qiaojin Lin United Kingdom
Lu‐Shiun Her Taiwan
Leah C. Byrne United States
Els F. Halff United Kingdom
C. Kimberly Tsui relative to Yanshan Fang China Yanshan Fang's profile →
Citations per field
00.5×1.5×1.8×
Yanshan Fang · 1×
Citations per year

Countries citing papers authored by C. Kimberly Tsui

Since Specialization
Citations

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

Fields of papers citing papers by C. Kimberly Tsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Kimberly Tsui. 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 C. Kimberly Tsui. The network helps show where C. Kimberly Tsui may publish in the future.

Co-authorship network of co-authors of C. Kimberly Tsui

This figure shows the co-authorship network connecting the top 25 collaborators of C. Kimberly Tsui. A scholar is included among the top collaborators of C. Kimberly Tsui 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 C. Kimberly Tsui. C. Kimberly Tsui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 33
3 3
4 17
5 4
6 7
7 11
8 86
9 54
10 16
11 38
12 160
13 23
14 211
15 8
16 123
17 27
18 250

About C. Kimberly Tsui

C. Kimberly Tsui is a scholar working on Aging, Cell Biology and Developmental Neuroscience, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Aging (46 citations), Cellular and Molecular Neuroscience (337 citations) and Developmental Neuroscience (48 citations). C. Kimberly Tsui has collaborated with scholars based in United States, Canada and India. Frequent co-authors include NA Jenkins, DJ Gilbert, P F Worley, Carol A. Barnes, NG Copeland, Michael C. Bassik, Amy Li, David W. Morgens, Matthew Y. Pecot and Orkun Akin. Their work appears in journals such as Nature, Nature Communications and Neuron.

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