Cindy Lin

8.8k citations
159 papers · 6.6k · 1 hit paper · h-index 44

Impact in

Papers in

Cindy Lin

155 papers receiving 6.5k citations

Cindy Lin's Hit Papers

Chemotherapy‐induced peripheral neurotoxicity: A critical analysis 2013 · 558 citations
5580+4+8Years since publication100200300400500

Peers

Cindy Lin
Comparison fields: 5 of 136
  • Neurology 2.5k
  • Cellular and Molecular Neuroscience 2.1k
  • Neurology 736
  • Genetics 845
  • Dermatology 489
Replace Nathan P. Staff with:
Nathan P. Staff United States
Alan Pestronk United States
Laurence E. Becker Canada
Paolo Livrea Italy
Klaus V. Toyka Germany
Sjoerd G. van Duinen Netherlands
Catharina G. Faber Netherlands
Masanori Nakagawa Japan
Junya Tanaka Japan
Sang Kun Lee South Korea
Cindy Lin relative to Nathan P. Staff United States Nathan P. Staff's profile →
Citations per field
00.5×2.9×
Nathan P. Staff · 1×
Citations per year

Countries citing papers authored by Cindy Lin

Since Specialization
Citations

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

Fields of papers citing papers by Cindy Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Cindy Lin, 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 Cindy Lin Line = papers co-authored together Cindy Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 159 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Chemotherapy‐induced peripheral neurotoxicity: A critical analysis
Hit paper breakdown →
2013558
2 2013385
3 1981339
4 2015282
5 2009188
6 2008159
7 2011156
8 2005145
9 2009141
10 2009129
11 2004126
12 1990126
13 2001124
14 2013124
15 199094
16 201290
17 200285
18 200684
19 200877
20 200375

About Cindy Lin

Cindy Lin is a scholar working on Neurology, Cellular and Molecular Neuroscience, Molecular Biology, Oncology and Neurology, having authored 159 papers that have together received 6.6k indexed citations. Recurring topics across this work include Peripheral Neuropathies and Disorders (33 papers), Neuroscience and Neural Engineering (25 papers), Ion channel regulation and function (21 papers), Pain Mechanisms and Treatments (19 papers), Cancer Treatment and Pharmacology (18 papers), Botulinum Toxin and Related Neurological Disorders (18 papers), Muscle activation and electromyography studies (17 papers) and Hereditary Neurological Disorders (14 papers). The work is most often cited by research in Neurology (2.5k citations), Cellular and Molecular Neuroscience (2.1k citations), Neurology (736 citations), Genetics (845 citations) and Dermatology (489 citations). Cindy Lin has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Matthew C. Kiernan, Arun V. Krishnan, Susanna B. Park, Michael Friedländer, David Burke, David Goldstein, Hugh Bostock, Steve Vucic, Jon H. Kaas and S. Murray Sherman. Their work appears in journals such as Clinical Neurophysiology, Muscle & Nerve, The Journal of Physiology, Brain and Neuroscience.

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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