Ian D. Chin-Sang

1.5k citations
33 papers · 1.0k indexed · h-index 18
Topics
Genetics, Aging, and Longevity in Model Organisms (27 papers)Circadian rhythm and melatonin (9 papers)Axon Guidance and Neuronal Signaling (8 papers)

In The Last Decade

Ian D. Chin-Sang

33 papers receiving 1.0k citations

Peers

Ian D. Chin-Sang
Comparison fields: 5 of 78
  • Aging 609
  • Molecular Biology 441
  • Cellular and Molecular Neuroscience 321
  • Endocrine and Autonomic Systems 225
  • Cell Biology 153
Replace Hirofumi Kunitomo with:
Hirofumi Kunitomo Japan
Viveca Sapin United States
Noëlle D. L’Étoile United States
David J. Reiner United States
Erin L. Peckol United States
William C. Spencer United States
Martin Victor United States
Stephen Nurrish United Kingdom
Sheila A. Homburger United States
Lutz Kockel United States
Ian D. Chin-Sang relative to Hirofumi Kunitomo Japan Hirofumi Kunitomo's profile →
Citations per field
00.5×1.5×
Hirofumi Kunitomo · 1×
Citations per year

Countries citing papers authored by Ian D. Chin-Sang

Since Specialization
Citations

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

Fields of papers citing papers by Ian D. Chin-Sang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian D. Chin-Sang. 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 Ian D. Chin-Sang. The network helps show where Ian D. Chin-Sang may publish in the future.

Co-authorship network of co-authors of Ian D. Chin-Sang

This figure shows the co-authorship network connecting the top 25 collaborators of Ian D. Chin-Sang. A scholar is included among the top collaborators of Ian D. Chin-Sang 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 Ian D. Chin-Sang. Ian D. Chin-Sang 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 6
2 43
3 62
4 11
5 16
6 5
7 13
8 7
9 13
10 117
11 24
12 24
13 29
14 13
15 33
16 10
17 47
18 34
19 63
20 143

About Ian D. Chin-Sang

Ian D. Chin-Sang is a scholar working on Aging, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (27 papers), Circadian rhythm and melatonin (9 papers) and Axon Guidance and Neuronal Signaling (8 papers). The work is most often cited by research in Aging (609 citations), Endocrine and Autonomic Systems (225 citations) and Cellular and Molecular Neuroscience (321 citations). Ian D. Chin-Sang has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include Andrew Chisholm, William G. Bendena, Christopher P. Palmer, Andrew M. Spence, Sarah Moseley, Mei Ding, Jun Liu, Shanqing Zheng, Stephen S. Tobe and Robert J. Harrington. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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