Tomo Šarić
- Immunology top 2%
- Biological Psychiatry top 5%
- Molecular Biology top 2%
- Pluripotent Stem Cells Research 49
- CRISPR and Genetic Engineering 18
- Ubiquitin and proteasome pathways 7
- Genetics top 5%
- Oncology top 5%
- Peptidase Inhibition and Analysis 7
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- Tissue Engineering and Regenerative Medicine 22
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- Neuroscience and Neural Engineering 15
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- 3D Printing in Biomedical Research 10
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- Cardiac electrophysiology and arrhythmias 6
- Co-authors
- Alfred L. GoldbergKenneth L. RockIan A. YorkShih‐Chung ChangJürgen HeschelerPaolo CascioJanice FavreauShirley L. Markant
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (3 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- GermanyUnited StatesChina
In The Last Decade
Tomo Šarić
83 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 128
- Immunology 1.2k
- Biological Psychiatry 124
- Molecular Biology 2.9k
- Genetics 327
- Oncology 798
Countries citing papers authored by Tomo Šarić
This map shows the geographic impact of Tomo Šarić'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 Tomo Šarić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomo Šarić more than expected).
Fields of papers citing papers by Tomo Šarić
This network shows the impact of papers produced by Tomo Šarić. 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 Tomo Šarić. The network helps show where Tomo Šarić may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tomo Šarić, 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 | 2025 | 7 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2021 | 5 | |
| 6 | 2019 | 187 | |
| 7 | 2018 | 58 | |
| 8 | 2016 | 8 | |
| 9 | 2016 | 54 | |
| 10 | 2016 | 11 | |
| 11 | 2015 | 29 | |
| 12 | 2014 | 19 | |
| 13 | 2013 | 70 | |
| 14 | 2013 | 18 | |
| 15 | 2013 | 20 | |
| 16 | 2012 | 47 | |
| 17 | 2010 | 30 | |
| 18 | 2007 | 42 | |
| 19 | 2003 | 25 | |
| 20 | 1999 | 61 |
About Tomo Šarić
Tomo Šarić is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biomaterials, having authored 84 papers that have together received 4.7k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (49 papers), Tissue Engineering and Regenerative Medicine (22 papers), CRISPR and Genetic Engineering (18 papers), Neuroscience and Neural Engineering (15 papers), 3D Printing in Biomedical Research (10 papers), Ubiquitin and proteasome pathways (7 papers), Peptidase Inhibition and Analysis (7 papers) and Cardiac electrophysiology and arrhythmias (6 papers). The work is most often cited by research in Immunology (1.2k citations), Biological Psychiatry (124 citations) and Molecular Biology (2.9k citations). Tomo Šarić has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Alfred L. Goldberg, Kenneth L. Rock, Ian A. York, Shih‐Chung Chang, Jürgen Hescheler, Paolo Cascio, Janice Favreau, Shirley L. Markant, Masafumi Tsujimoto and Akira Hattori. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.