Michael Schuler
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
- Rehabilitation top 10%
- Exercise and Physiological Responses
Papers in
-
- CRISPR and Genetic Engineering 4
- Retinoids in leukemia and cellular processes 2
- Genetics 5
- Virus-based gene therapy research 3
- Co-authors
- Daniel Metzger (3 shared papers)Pierre Chambon (3 shared papers)Dirk Pette (3 shared papers)Delphine Duteil (1 shared paper)Jean‐Marc Bornert (1 shared paper)Walter Wahli (1 shared paper)Céline Chambon (1 shared paper)Béatrice Desvergne (1 shared paper)
- Journals
- Scientific Reports (3 papers)European Journal of Biochemistry (2 papers)SLAS DISCOVERY (1 paper)Human Gene Therapy (1 paper)Cell Metabolism (1 paper)
- Partner nations
- GermanyFranceUnited Kingdom
In The Last Decade
Michael Schuler
18 papers receiving 769 citations
Peers
Comparison fields: 5 of 90
- Physiology 295
- Rehabilitation 55
- Molecular Biology 508
- Cell Biology 104
- Biochemistry 30
Countries citing papers authored by Michael Schuler
This map shows the geographic impact of Michael Schuler'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 Schuler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Schuler more than expected).
Fields of papers citing papers by Michael Schuler
This network shows the impact of papers produced by Michael Schuler. 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 Schuler. The network helps show where Michael Schuler may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Schuler, 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 | 2006 | 303 | |
| 2 | 2017 | 99 | |
| 3 | 1998 | 84 | |
| 4 | 2005 | 80 | |
| 5 | 2019 | 32 | |
| 6 | 2020 | 31 | |
| 7 | 1996 | 27 | |
| 8 | 2020 | 27 | |
| 9 | 2003 | 19 | |
| 10 | 1998 | 16 | |
| 11 | 2019 | 14 | |
| 12 | 2021 | 14 | |
| 13 | 2019 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 1999 | 6 | |
| 16 | 2023 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2022 | 2 |
About Michael Schuler
Michael Schuler is a scholar working on Molecular Biology, Genetics, Immunology, Pulmonary and Respiratory Medicine and Physiology, having authored 18 papers that have together received 778 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Virus-based gene therapy research (3 papers), Phagocytosis and Immune Regulation (2 papers), Medical Imaging and Pathology Studies (2 papers), Retinoids in leukemia and cellular processes (2 papers), Adipose Tissue and Metabolism (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Physiology (295 citations), Rehabilitation (55 citations), Molecular Biology (508 citations), Cell Biology (104 citations) and Biochemistry (30 citations). Michael Schuler has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Daniel Metzger, Pierre Chambon, Dirk Pette, Delphine Duteil, Jean‐Marc Bornert, Walter Wahli, Céline Chambon, Béatrice Desvergne, Heidemarie Peuker and Frank Jaschinski. Their work appears in journals such as Scientific Reports, European Journal of Biochemistry, SLAS DISCOVERY, Human Gene Therapy and Cell Metabolism.
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.