Tim Kacprowski
Impact in
- Health Informatics top 5%
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Bioinformatics and Genomic Networks 15
- RNA Research and Splicing 9
- Gut microbiota and health 7
- Gene Regulatory Network Analysis 5
- RNA modifications and cancer 5
- Machine Learning in Bioinformatics 3
- Co-authors
- Jan Baumbach (32 shared papers)Markus List (18 shared papers)Uwe Völker (19 shared papers)Georg Homuth (11 shared papers)Maik Pietzner (8 shared papers)Mario Albrecht (5 shared papers)Dirk Haller (2 shared papers)Monica Steffi Matchado (2 shared papers)
- Journals
- Bioinformatics (7 papers)Scientific Reports (5 papers)Nature Communications (2 papers)Journal of Alzheimer s Disease (2 papers)Genome biology (2 papers)
- Partner nations
- GermanyDenmarkUnited Kingdom
In The Last Decade
Tim Kacprowski
68 papers receiving 2.0k citations
Tim Kacprowski's Hit Papers
Peers
Comparison fields: 5 of 150
- Health Informatics 39
- Cancer Research 216
- Molecular Biology 1.0k
- Biological Psychiatry 33
- Behavioral Neuroscience 33
Countries citing papers authored by Tim Kacprowski
This map shows the geographic impact of Tim Kacprowski'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 Tim Kacprowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Kacprowski more than expected).
Fields of papers citing papers by Tim Kacprowski
This network shows the impact of papers produced by Tim Kacprowski. 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 Tim Kacprowski. The network helps show where Tim Kacprowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Kacprowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Network analysis methods for studying microbial communities: A mini review Hit paper breakdown → | 2021 | 226 |
| 2 | 2015 | 150 | |
| 3 | 2020 | 130 | |
| 4 | 2019 | 100 | |
| 5 | 2021 | 91 | |
| 6 | 2016 | 79 | |
| 7 | 2018 | 78 | |
| 8 | 2014 | 71 | |
| 9 | 2019 | 68 | |
| 10 | 2017 | 66 | |
| 11 | 2019 | 64 | |
| 12 | 2020 | 61 | |
| 13 | 2015 | 61 | |
| 14 | 2024 | 57 | |
| 15 | 2022 | 56 | |
| 16 | 2013 | 42 | |
| 17 | 2012 | 42 | |
| 18 | 2022 | 39 | |
| 19 | 2023 | 36 | |
| 20 | 2020 | 33 |
About Tim Kacprowski
Tim Kacprowski is a scholar working on Molecular Biology, Physiology, Cancer Research, Oncology and Genetics, having authored 71 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (15 papers), RNA Research and Splicing (9 papers), Gut microbiota and health (7 papers), Genetic Associations and Epidemiology (5 papers), Gene Regulatory Network Analysis (5 papers), RNA modifications and cancer (5 papers), MicroRNA in disease regulation (4 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Health Informatics (39 citations), Cancer Research (216 citations), Molecular Biology (1.0k citations), Biological Psychiatry (33 citations) and Behavioral Neuroscience (33 citations). Tim Kacprowski has collaborated with scholars based in Germany, Denmark and United Kingdom. Frequent co-authors include Jan Baumbach, Markus List, Uwe Völker, Georg Homuth, Maik Pietzner, Mario Albrecht, Dirk Haller, Monica Steffi Matchado, Sandra Reitmeier and Malte Rühlemann. Their work appears in journals such as Bioinformatics, Scientific Reports, Nature Communications, Journal of Alzheimer s Disease and Genome biology.
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.