Eva R. Chin

4.8k citations
62 papers · 3.7k indexed · 1 hit paper · h-index 30
Topics
Muscle Physiology and Disorders (28 papers)Cardiomyopathy and Myosin Studies (13 papers)Adipose Tissue and Metabolism (11 papers)

In The Last Decade

Eva R. Chin

60 papers receiving 3.7k citations

Hit Papers

A calcineurin-dependent transcriptional pathway controls ...19982026200720161998250500750

Peers

Eva R. Chin
Comparison fields: 5 of 129
  • Molecular Biology 2.3k
  • Physiology 1.1k
  • Cell Biology 823
  • Cardiology and Cardiovascular Medicine 596
  • Rehabilitation 482
Replace Christopher W. Ward with:
Christopher W. Ward United States
Joseph M. Metzger United States
Dominique Mornet France
Mitchell J. Anderson Australia
G. Salviati Italy
Brian Glancy United States
Matthias Vorgerd Germany
Marco Mongillo Italy
Mark A. Anderson United States
Marijke Brink Switzerland
Eva R. Chin relative to Christopher W. Ward United States Christopher W. Ward's profile →
Citations per field
00.5×1.5×
Christopher W. Ward · 1×
Citations per year

Countries citing papers authored by Eva R. Chin

Since Specialization
Citations

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

Fields of papers citing papers by Eva R. Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva R. Chin. 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 Eva R. Chin. The network helps show where Eva R. Chin may publish in the future.

Co-authorship network of co-authors of Eva R. Chin

This figure shows the co-authorship network connecting the top 25 collaborators of Eva R. Chin. A scholar is included among the top collaborators of Eva R. Chin 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 Eva R. Chin. Eva R. Chin 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 1
2 1
3 8
4 36
5 17
6 51
7 31
8 37
9 37
10 53
11 71
12 44
13 89
14 43
15 1
16 224
17 160
18 10
19 11
20 20

About Eva R. Chin

Eva R. Chin is a scholar working on Rehabilitation, Complementary and alternative medicine and Aging, having authored 62 papers that have together received 3.7k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (28 papers), Cardiomyopathy and Myosin Studies (13 papers) and Adipose Tissue and Metabolism (11 papers). The work is most often cited by research in Rehabilitation (482 citations), Cell Biology (823 citations) and Complementary and alternative medicine (362 citations). Eva R. Chin has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include David G. Allen, R. Sanders Williams, Rhonda Bassel‐Duby, Robin N. Michel, Caroline G. Humphries, John M. Shelton, James A. Richardson, Quan Yang, Haiyan Wu and Eric N. Olson. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Genes & Development.

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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