Michael Yang

828 citations
16 papers · 554 · 1 hit paper · h-index 7

Impact in

Papers in

Michael Yang

12 papers receiving 530 citations

Michael Yang's Hit Papers

Long-term safety and efficacy of closed-loop spinal cord stimulation to treat chronic back and leg pain (Evoke): a double-blind, randomised, controlled trial 2019 · 255 citations
2550+2+4Years since publication50100150200250

Peers

Michael Yang
Comparison fields: 5 of 53
  • Anesthesiology and Pain Medicine 410
  • Neurology 114
  • Pharmacology 132
  • Physiology 63
  • Neurology 29
Replace Tianhe C. Zhang with:
Tianhe C. Zhang United States
Angela Leitner United States
Nicole Soliday United States
Dave Mugan United Kingdom
Farooq Qureshi Australia
Harold Nijhuis Netherlands
Derron K. Wilson United States
Christopher K. Kim United States
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Tilman Wolter Germany
Michael Yang relative to Tianhe C. Zhang United States Tianhe C. Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Yang

Since Specialization
Citations

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

Fields of papers citing papers by Michael Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Long-term safety and efficacy of closed-loop spinal cord stimulation to treat chronic back and leg pain (Evoke): a double-blind, randomised, controlled trial
Hit paper breakdown →
2019255
2 2017105
3 202270
4 202355
5 201424
6 202015
7 202512
8 20246
9 20215
10 20233
11 20092
12 20171
13 20251
14 20170
15 20170
16 20170

About Michael Yang

Michael Yang is a scholar working on Anesthesiology and Pain Medicine, Pharmacology, Neurology, Gastroenterology and Obstetrics and Gynecology, having authored 16 papers that have together received 554 indexed citations. Recurring topics across this work include Pain Management and Treatment (11 papers), Musculoskeletal pain and rehabilitation (4 papers), Transcranial Magnetic Stimulation Studies (3 papers), Opioid Use Disorder Treatment (1 paper), Pregnancy and preeclampsia studies (1 paper), Pharmacology and Obesity Treatment (1 paper), Botulinum Toxin and Related Neurological Disorders (1 paper) and Prenatal Screening and Diagnostics (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (410 citations), Neurology (114 citations), Pharmacology (132 citations), Physiology (63 citations) and Neurology (29 citations). Michael Yang has collaborated with scholars based in United States. Frequent co-authors include Anne M. Chapas, Jillian L. Capodice, Jed C. Kaminetsky, Michael B. Lustik, Colin C. Pritchard, Anna-Lisa Doebley, Amitabh Gulati, Gavin Ha, Raj S. Shree and Prasad R. Shirvalkar. Their work appears in journals such as Regional Anesthesia & Pain Medicine, Neuromodulation Technology at the Neural Interface, The Lancet Neurology, Nature Medicine and Journal of Pain.

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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