Tomislav Maričić
- Molecular Biology top 5%
- Genetics top 2%
- Archeology top 0.5%
- Paleontology top 2%
- Ecology top 5%
- Co-authors
- Svante PääboMark WhittenStephan RiesenbergJohannes KrauseAdrian W. BriggsUdo StenzelJanet KelsoMatthias Meyer
- Topics
- Forensic and Genetic Research (8 papers)Pleistocene-Era Hominins and Archaeology (6 papers)CRISPR and Genetic Engineering (6 papers)
- Cited by
- PaleontologyArcheologyGenetics
In The Last Decade
Tomislav Maričić
24 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 1.3k
- Genetics 1.0k
- Archeology 425
- Paleontology 341
- Ecology 295
Countries citing papers authored by Tomislav Maričić
This map shows the geographic impact of Tomislav Maričić'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 Tomislav Maričić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomislav Maričić more than expected).
Fields of papers citing papers by Tomislav Maričić
This network shows the impact of papers produced by Tomislav Maričić. 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 Tomislav Maričić. The network helps show where Tomislav Maričić may publish in the future.
Co-authorship network of co-authors of Tomislav Maričić
This figure shows the co-authorship network connecting the top 25 collaborators of Tomislav Maričić. A scholar is included among the top collaborators of Tomislav Maričić based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tomislav Maričić. Tomislav Maričić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 46 | |
| 4 | Human TKTL1 implies greater neurogenesis in frontal neocortex of modern humans than Neanderthalsbreakdown → | 76 |
| 5 | 30 | |
| 6 | 58 | |
| 7 | 92 | |
| 8 | 30 | |
| 9 | 11 | |
| 10 | 80 | |
| 11 | 125 | |
| 12 | 165 | |
| 13 | 125 | |
| 14 | 38 | |
| 15 | A Complete mtDNA Genome of an Early Modern Human from Kostenki, Russiabreakdown → | 192 |
| 16 | Multiplexed DNA Sequence Capture of Mitochondrial Genomes Using PCR Productsbreakdown → | 367 |
| 17 | Targeted Investigation of the Neandertal Genome by Array-Based Sequence Capturebreakdown → | 202 |
| 18 | 29 | |
| 19 | 33 | |
| 20 | 98 |
About Tomislav Maričić
Tomislav Maričić is a scholar working on Paleontology, Anthropology and Aging, having authored 25 papers that have together received 2.3k indexed citations. Recurring topics across this work include Forensic and Genetic Research (8 papers), Pleistocene-Era Hominins and Archaeology (6 papers) and CRISPR and Genetic Engineering (6 papers). The work is most often cited by research in Paleontology (341 citations), Archeology (425 citations) and Genetics (1.0k citations). Tomislav Maričić has collaborated with scholars based in Germany, Japan and Spain. Frequent co-authors include Svante Pääbo, Mark Whitten, Stephan Riesenberg, Johannes Krause, Adrian W. Briggs, Udo Stenzel, Janet Kelso, Matthias Meyer, Richard E. Green and Antonio Rosas. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.