Gary C. Sieck

487 papers receiving 16.1k citations

Peers

Gary C. Sieck
Comparison fields: 5 of 160
  • Endocrine and Autonomic Systems 4.1k
  • Sensory Systems 796
  • Pulmonary and Respiratory Medicine 4.4k
  • Physiology 2.9k
  • Rehabilitation 697
Replace Michael V. Sofroniew with:
Michael V. Sofroniew United States
Frank R. Sharp United States
Jan M. Lundberg Sweden
Nancy J. Rothwell United Kingdom
Y. S. Prakash United States
Lars Larsson Sweden
Masashi Yanagisawa Japan
Peter Holzer Austria
Cobi J. Heijnen Netherlands
Donna M. Ferriero United States
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Citations per field
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Citations per year

Countries citing papers authored by Gary C. Sieck

Since Specialization
Citations

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

Fields of papers citing papers by Gary C. Sieck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary C. Sieck. 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 Gary C. Sieck. The network helps show where Gary C. Sieck may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 500 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Skeletal muscle dysfunction in chronic obstructive pulmonary disease: A statement of the American Thoracic Society and European Respiratory Society
1999274
2 1995229
3 2002207
4 1989204
5 2005197
6 2017188
7 1998186
8 1996186
9 1991179
10 2015174
11 2014151
12 2000151
13 2001144
14 2003140
15 1988136
16 1997123
17 1995122
18 2003122
19 2010121
20 2013121

About Gary C. Sieck

Gary C. Sieck is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Pulmonary and Respiratory Medicine, Physiology and Cardiology and Cardiovascular Medicine, having authored 500 papers that have together received 16.5k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (116 papers), Muscle Physiology and Disorders (90 papers), Ion channel regulation and function (61 papers), Respiratory Support and Mechanisms (60 papers), Muscle activation and electromyography studies (47 papers), Adipose Tissue and Metabolism (43 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (36 papers) and Mitochondrial Function and Pathology (35 papers). The work is most often cited by research in Endocrine and Autonomic Systems (4.1k citations), Sensory Systems (796 citations), Pulmonary and Respiratory Medicine (4.4k citations), Physiology (2.9k citations) and Rehabilitation (697 citations). Gary C. Sieck has collaborated with scholars based in United States, Norway and Australia. Frequent co-authors include Carlos B. Mantilla, Y. S. Prakash, Wen-Zhi Zhan, Mario Fournier, Matthew J. Fogarty, Christina M. Pabelick, Mathur Kannan, Cesar E. Blanco, Heather M. Gransee and Michael I. Lewis. Their work appears in journals such as Journal of Applied Physiology, Physiology, American Journal of Physiology-Lung Cellular and Molecular Physiology, Respiratory Physiology & Neurobiology and The FASEB Journal.

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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