Michele Yang

2.8k citations
35 papers · 949 · h-index 15

Impact in

Papers in

Michele Yang

35 papers receiving 910 citations

Peers

Michele Yang
Comparison fields: 5 of 91
  • Genetics 212
  • Cardiology and Cardiovascular Medicine 233
  • Critical Care and Intensive Care Medicine 42
  • Neurology 87
  • Molecular Biology 363
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Sumit Verma United States
Neil Friedman United States
Mari Niemi Finland
Matteo Coen Switzerland
Wendy Chen United States
Elena Rizzo Switzerland
Anamarli Nucci Brazil
Salvatore Savasta Italy
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Michele Yang relative to Sumit Verma United States Sumit Verma's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michele Yang

Since Specialization
Citations

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

Fields of papers citing papers by Michele Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016151
2 2013106
3 2011101
4 200572
5 201758
6 201456
7 201745
8 201139
9 201036
10 201335
11 201333
12 200731
13 201928
14 201425
15 202015
16 201914
17 201914
18 202013
19 200912
20 201810

About Michele Yang

Michele Yang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Neurology and Cellular and Molecular Neuroscience, having authored 35 papers that have together received 949 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (9 papers), Neurogenetic and Muscular Disorders Research (5 papers), Viral Infections and Immunology Research (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Child Abuse and Related Trauma (2 papers), Telemedicine and Telehealth Implementation (2 papers), Genetic Neurodegenerative Diseases (2 papers) and Peripheral Neuropathies and Disorders (2 papers). The work is most often cited by research in Genetics (212 citations), Cardiology and Cardiovascular Medicine (233 citations), Critical Care and Intensive Care Medicine (42 citations), Neurology (87 citations) and Molecular Biology (363 citations). Michele Yang has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Teri Schreiner, Kenneth L. Tyler, Kevin Messacar, Carol Glaser, Samuel R. Dominguez, Keith Van Haren, Jonathan W. Mink, Joshua Goldstein, Richard S. Finkel and F. John Meaney. Their work appears in journals such as Neurology, Muscle & Nerve, Neuromuscular Disorders, Annals of Neurology and The Journal of Pediatrics.

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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