Ras Trokovic
Impact in
- Sensory Systems top 2%
- Molecular Biology top 5%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Renal and related cancers
- Fibroblast Growth Factor Research
- Epigenetics and DNA Methylation
- Developmental Biology and Gene Regulation
Papers in
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- Pluripotent Stem Cells Research 23
- CRISPR and Genetic Engineering 17
- Epigenetics and DNA Methylation 4
- Single-cell and spatial transcriptomics 3
- Renal and related cancers 3
- Genetics 8
- Animal Genetics and Reproduction 3
- Co-authors
- Timo Otonkoski (24 shared papers)Jere Weltner (20 shared papers)Juha Partanen (6 shared papers)Nina Trokovic (3 shared papers)Karolina Lundin (5 shared papers)Diego Balboa (6 shared papers)Milla Mikkola (4 shared papers)Riikka H. Hämäläinen (2 shared papers)
In The Last Decade
Ras Trokovic
37 papers receiving 2.5k citations
Ras Trokovic's Hit Papers
Peers
Comparison fields: 5 of 99
- Sensory Systems 159
- Molecular Biology 2.1k
- Developmental Neuroscience 118
- Aging 52
- Genetics 380
Countries citing papers authored by Ras Trokovic
This map shows the geographic impact of Ras Trokovic'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 Ras Trokovic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ras Trokovic more than expected).
Fields of papers citing papers by Ras Trokovic
This network shows the impact of papers produced by Ras Trokovic. 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 Ras Trokovic. The network helps show where Ras Trokovic may publish in the future.
Co-authors
The 25 scholars most cited alongside Ras Trokovic, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Copy number variation and selection during reprogramming to pluripotency Hit paper breakdown → | 2011 | 739 |
| 2 | 2002 | 245 | |
| 3 | 2016 | 191 | |
| 4 | 2003 | 157 | |
| 5 | 2015 | 157 | |
| 6 | 2003 | 136 | |
| 7 | 2018 | 133 | |
| 8 | 2004 | 61 | |
| 9 | 2013 | 60 | |
| 10 | 2015 | 59 | |
| 11 | 2017 | 58 | |
| 12 | 2013 | 53 | |
| 13 | 2006 | 47 | |
| 14 | 2010 | 45 | |
| 15 | 2005 | 42 | |
| 16 | 2024 | 40 | |
| 17 | 2012 | 38 | |
| 18 | 2005 | 32 | |
| 19 | 2014 | 31 | |
| 20 | 2014 | 30 |
About Ras Trokovic
Ras Trokovic is a scholar working on Molecular Biology, Genetics, Physiology, Biomedical Engineering and Surgery, having authored 40 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (23 papers), CRISPR and Genetic Engineering (17 papers), Epigenetics and DNA Methylation (4 papers), Biomedical Ethics and Regulation (4 papers), 3D Printing in Biomedical Research (4 papers), Animal Genetics and Reproduction (3 papers), Single-cell and spatial transcriptomics (3 papers) and Renal and related cancers (3 papers). The work is most often cited by research in Sensory Systems (159 citations), Molecular Biology (2.1k citations), Developmental Neuroscience (118 citations), Aging (52 citations) and Genetics (380 citations). Ras Trokovic has collaborated with scholars based in Finland, Sweden and Japan. Frequent co-authors include Timo Otonkoski, Jere Weltner, Juha Partanen, Nina Trokovic, Karolina Lundin, Diego Balboa, Milla Mikkola, Riikka H. Hämäläinen, Kari Alitalo and Ulla Pirvola. Their work appears in journals such as Stem Cell Reports, Stem Cell Research, Human Molecular Genetics, PLoS ONE and Stem Cells Translational Medicine.
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.