M. Michaelis
- Rheumatology top 1%
- Osteoarthritis Treatment and Mechanisms 27
- Physiology top 2%
- Pain Mechanisms and Treatments 10
- Pharmacology top 2%
- Inflammatory mediators and NSAID effects 9
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- Neuroscience of respiration and sleep 8
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- Target Tracking and Data Fusion in Sensor Networks 15
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- Knee injuries and reconstruction techniques 7
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- Heart Rate Variability and Autonomic Control 7
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- Fibroblast Growth Factor Research 6
- Co-authors
- Marshall DevorRon AmirKarl Asmund RudolphiH. WielandBernhard J. KirschbaumChang‐Ning LiuC. LadelPatrick D. Wall
- Cited by
- RheumatologyPhysiologyPharmacology
- Journals
- Osteoarthritis and Cartilage (17 papers)Neuroreport (3 papers)The Journal of Physiology (3 papers)
- Partner nations
- GermanyDenmarkUnited Kingdom
In The Last Decade
M. Michaelis
72 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Rheumatology 876
- Physiology 990
- Pharmacology 564
- Endocrine and Autonomic Systems 186
- Cellular and Molecular Neuroscience 461
Countries citing papers authored by M. Michaelis
This map shows the geographic impact of M. Michaelis'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 M. Michaelis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Michaelis more than expected).
Fields of papers citing papers by M. Michaelis
This network shows the impact of papers produced by M. Michaelis. 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 M. Michaelis. The network helps show where M. Michaelis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Michaelis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 9 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 3 | |
| 4 | 2021 | 7 | |
| 5 | 2021 | 2 | |
| 6 | 2020 | 3 | |
| 7 | 2020 | 1 | |
| 8 | 2019 | 2 | |
| 9 | 2019 | 1 | |
| 10 | 2018 | 1 | |
| 11 | 2018 | 11 | |
| 12 | 2017 | 3 | |
| 13 | 2016 | 1 | |
| 14 | State dependent mode transition probabilities with an application to acceleration dependency | 2014 | 1 |
| 15 | 2005 | 440 | |
| 16 | 2000 | 367 | |
| 17 | 1997 | 5 | |
| 18 | 1996 | 2 | |
| 19 | 1994 | 29 | |
| 20 | 1992 | 33 |
About M. Michaelis
M. Michaelis is a scholar working on Rheumatology, Endocrine and Autonomic Systems and Physical Therapy, Sports Therapy and Rehabilitation, having authored 75 papers that have together received 2.6k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (27 papers), Target Tracking and Data Fusion in Sensor Networks (15 papers), Pain Mechanisms and Treatments (10 papers), Inflammatory mediators and NSAID effects (9 papers), Neuroscience of respiration and sleep (8 papers), Knee injuries and reconstruction techniques (7 papers), Heart Rate Variability and Autonomic Control (7 papers) and Fibroblast Growth Factor Research (6 papers). The work is most often cited by research in Rheumatology (876 citations), Physiology (990 citations) and Pharmacology (564 citations). M. Michaelis has collaborated with scholars based in Germany, Denmark and United Kingdom. Frequent co-authors include Marshall Devor, Ron Amir, Karl Asmund Rudolphi, H. Wieland, Bernhard J. Kirschbaum, Chang‐Ning Liu, C. Ladel, Patrick D. Wall, M.A. Karsdal and Anne‐Christine Bay‐Jensen. Their work appears in journals such as Osteoarthritis and Cartilage, Neuroreport, The Journal of Physiology, Scientific Reports and Journal of Neuroscience.
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.