Daniel D. Veith

13 papers receiving 559 citations

Hit Papers

Neuromodulation of lumbosacral spinal networks enables independent stepping after complete paraplegia 2018 · 390 citations
3902018202620202023100200300

Peers

Daniel D. Veith
Comparison fields: 5 of 46
  • Pathology and Forensic Medicine 455
  • Rehabilitation 144
  • Anesthesiology and Pain Medicine 101
  • Neurology 142
  • Cellular and Molecular Neuroscience 101
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Dina I. Drubach United States
Margaux B. Linde United States
Cesar Lopez United States
Megan L. Gill United States
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Р. М. Городничев Russia
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Countries citing papers authored by Daniel D. Veith

Since Specialization
Citations

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

Fields of papers citing papers by Daniel D. Veith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel D. Veith. 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 Daniel D. Veith. The network helps show where Daniel D. Veith may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Neuromodulation of lumbosacral spinal networks enables independent stepping after complete paraplegia
Hit paper breakdown →
2018390
2 201864
3 202032
4 202025
5 202120
6 202117
7 20216
8 20244
9 20241
10 20241
11
Mikroglottika yearbook 2009
20101
12 20231
13 20251
14 20250
15 20250
16 20240

About Daniel D. Veith

Daniel D. Veith is a scholar working on Pathology and Forensic Medicine, Rehabilitation, Surgery, Biomedical Engineering and Pharmacology, having authored 16 papers that have together received 563 indexed citations. Recurring topics across this work include Spinal Cord Injury Research (13 papers), Stroke Rehabilitation and Recovery (10 papers), Nerve Injury and Rehabilitation (7 papers), Muscle activation and electromyography studies (2 papers), Heart Rate Variability and Autonomic Control (1 paper), Cardiac Arrest and Resuscitation (1 paper), Musculoskeletal pain and rehabilitation (1 paper) and Pregnancy-related medical research (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (455 citations), Rehabilitation (144 citations), Anesthesiology and Pain Medicine (101 citations), Neurology (142 citations) and Cellular and Molecular Neuroscience (101 citations). Daniel D. Veith has collaborated with scholars based in United States, Russia and Australia. Frequent co-authors include Peter J. Grahn, Kristin D. Zhao, Megan L. Gill, Igor Lavrov, Jonathan S. Calvert, Dimitry G. Sayenko, Lisa A. Beck, Cesar Lopez, Margaux B. Linde and Jeffrey A. Strommen. Their work appears in journals such as Topics in Spinal Cord Injury Rehabilitation, Frontiers in Systems Neuroscience, Nature Medicine, Journal of Neurophysiology and Journal of Clinical Medicine.

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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