Michael Groot
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Extracellular vesicles in disease
- Circular RNAs in diseases
- RNA Interference and Gene Delivery
- RNA modifications and cancer
Papers in
-
- Extracellular vesicles in disease 5
- Circular RNAs in diseases 2
- RNA modifications and cancer 2
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- MicroRNA in disease regulation 4
- Co-authors
- Heedoo Lee (5 shared papers)Yang Jin (5 shared papers)Duo Zhang (3 shared papers)Xiaoyun Wang (2 shared papers)Ashish Rai (1 shared paper)Charles S. Dela Cruz (1 shared paper)Lokesh Sharma (1 shared paper)Mayra Pinilla-Vera (1 shared paper)
- Journals
- Cell Death Discovery (1 paper)Molecular Therapy (1 paper)European Archives of Psychiatry and Clinical Neuroscience (1 paper)Arthroscopy Sports Medicine and Rehabilitation (1 paper)Cells (1 paper)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Michael Groot
11 papers receiving 729 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 352
- Molecular Biology 540
- Immunology 80
- Rehabilitation 23
- Neurology 29
Countries citing papers authored by Michael Groot
This map shows the geographic impact of Michael Groot'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 Groot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Groot more than expected).
Fields of papers citing papers by Michael Groot
This network shows the impact of papers produced by Michael Groot. 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 Groot. The network helps show where Michael Groot may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Groot, 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 | 2020 | 281 | |
| 2 | 2018 | 144 | |
| 3 | 2019 | 133 | |
| 4 | 2018 | 85 | |
| 5 | 2006 | 25 | |
| 6 | 2001 | 20 | |
| 7 | 2020 | 18 | |
| 8 | 2006 | 18 | |
| 9 | Long Non-Coding RNA Review and Implications in Lung Diseases. | 2018 | 16 |
| 10 | 2002 | 2 | |
| 11 | 2004 | 1 | |
| 12 | 2024 | 0 |
About Michael Groot
Michael Groot is a scholar working on Molecular Biology, Cancer Research, Neurology, Neurology and Infectious Diseases, having authored 12 papers that have together received 743 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (5 papers), MicroRNA in disease regulation (4 papers), Transcranial Magnetic Stimulation Studies (3 papers), Circular RNAs in diseases (2 papers), RNA modifications and cancer (2 papers), Neurological disorders and treatments (1 paper), Children's Physical and Motor Development (1 paper) and Infectious Encephalopathies and Encephalitis (1 paper). The work is most often cited by research in Cancer Research (352 citations), Molecular Biology (540 citations), Immunology (80 citations), Rehabilitation (23 citations) and Neurology (29 citations). Michael Groot has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Heedoo Lee, Yang Jin, Duo Zhang, Xiaoyun Wang, Ashish Rai, Charles S. Dela Cruz, Lokesh Sharma, Mayra Pinilla-Vera, Laura E. Fredenburgh and Jonathan M. Carnino. Their work appears in journals such as Cell Death Discovery, Molecular Therapy, European Archives of Psychiatry and Clinical Neuroscience, Arthroscopy Sports Medicine and Rehabilitation and Cells.
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.