Tin Maršić
Impact in
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- Advanced biosensing and bioanalysis techniques
Papers in
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- CRISPR and Genetic Engineering 13
- Advanced biosensing and bioanalysis techniques 9
- RNA Interference and Gene Delivery 2
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- SARS-CoV-2 detection and testing 3
- Co-authors
- Ahmed Mahas (12 shared papers)Magdy M. Mahfouz (13 shared papers)Rashid Aman (10 shared papers)Zahir Ali (6 shared papers)Norhan Hassan (3 shared papers)Muhammad Tehseen (3 shared papers)Samir M. Hamdan (3 shared papers)Gundra Sivakrishna Rao (6 shared papers)
- Journals
- ACS Synthetic Biology (3 papers)Nucleic Acids Research (2 papers)Virus Research (1 paper)Analytical Chemistry (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- Saudi ArabiaGermanyUnited States
In The Last Decade
Tin Maršić
13 papers receiving 905 citations
Peers
Comparison fields: 5 of 64
- Business and International Management 57
- Molecular Biology 778
- Infectious Diseases 204
- Biomedical Engineering 363
- Insect Science 85
Countries citing papers authored by Tin Maršić
This map shows the geographic impact of Tin Maršić'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 Tin Maršić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tin Maršić more than expected).
Fields of papers citing papers by Tin Maršić
This network shows the impact of papers produced by Tin Maršić. 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 Tin Maršić. The network helps show where Tin Maršić may publish in the future.
Co-authors
The 22 scholars most cited alongside Tin Maršić, 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 | 249 | |
| 2 | 2020 | 133 | |
| 3 | 2021 | 83 | |
| 4 | 2021 | 74 | |
| 5 | 2022 | 71 | |
| 6 | 2021 | 69 | |
| 7 | 2022 | 60 | |
| 8 | 2022 | 58 | |
| 9 | 2022 | 46 | |
| 10 | 2021 | 42 | |
| 11 | 2021 | 17 | |
| 12 | 2023 | 9 | |
| 13 | 2024 | 6 | |
| 14 | 2024 | 0 |
About Tin Maršić
Tin Maršić is a scholar working on Molecular Biology, Infectious Diseases, Biomedical Engineering, Insect Science and Plant Science, having authored 14 papers that have together received 917 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (13 papers), Advanced biosensing and bioanalysis techniques (9 papers), Biosensors and Analytical Detection (4 papers), SARS-CoV-2 detection and testing (3 papers), Insect symbiosis and bacterial influences (2 papers), Plant Virus Research Studies (2 papers), RNA Interference and Gene Delivery (2 papers) and Innovation and Socioeconomic Development (1 paper). The work is most often cited by research in Business and International Management (57 citations), Molecular Biology (778 citations), Infectious Diseases (204 citations), Biomedical Engineering (363 citations) and Insect Science (85 citations). Tin Maršić has collaborated with scholars based in Saudi Arabia, Germany and United States. Frequent co-authors include Ahmed Mahas, Magdy M. Mahfouz, Rashid Aman, Zahir Ali, Norhan Hassan, Muhammad Tehseen, Samir M. Hamdan, Gundra Sivakrishna Rao, Fatimah S. Alhamlan and Ahmed A. Al‐Qahtani. Their work appears in journals such as ACS Synthetic Biology, Nucleic Acids Research, Virus Research, Analytical Chemistry and Journal of Biological Chemistry.
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.