János Dani
Impact in
- Paleontology top 5%
- Archaeology and ancient environmental studies
- Archeology top 1%
- Forensic Anthropology and Bioarchaeology Studies
- Ancient and Medieval Archaeology Studies
Papers in
- Archeology 13
- Ancient and Medieval Archaeology Studies 9
- Forensic Anthropology and Bioarchaeology Studies 5
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- Archaeology and ancient environmental studies 8
- Co-authors
- Ildikó Pap (4 shared papers)Ron Pinhasi (4 shared papers)Ivett Kővári (2 shared papers)Pál Raczky (3 shared papers)László Domboróczki (3 shared papers)Matthew D. Teasdale (1 shared paper)Daniel G. Bradley (1 shared paper)Michael Hofreiter (1 shared paper)
- Journals
- Radiocarbon (3 papers)Antiquity (1 paper)Nature Communications (1 paper)European Journal of Archaeology (1 paper)BioTechniques (1 paper)
- Partner nations
- HungaryUnited StatesUnited Kingdom
In The Last Decade
János Dani
17 papers receiving 537 citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Paleontology 234
- Archeology 301
- Genetics 380
- Space and Planetary Science 11
- Anthropology 75
Countries citing papers authored by János Dani
This map shows the geographic impact of János Dani'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 János Dani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites János Dani more than expected).
Fields of papers citing papers by János Dani
This network shows the impact of papers produced by János Dani. 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 János Dani. The network helps show where János Dani may publish in the future.
Co-authors
The 25 scholars most cited alongside János Dani, 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 | Genome flux and stasis in a five millennium transect of European prehistory Hit paper breakdown → | 2014 | 389 |
| 2 | 2017 | 53 | |
| 3 | 2012 | 34 | |
| 4 | 2018 | 21 | |
| 5 | 2018 | 14 | |
| 6 | 2019 | 12 | |
| 7 | Chronology of the Early and Middle Bronze Age in Hungary. New results | 2019 | 10 |
| 8 | 2022 | 5 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 4 | |
| 12 | 2020 | 3 | |
| 13 | 2022 | 2 | |
| 14 | 2020 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2006 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2021 | 0 |
About János Dani
János Dani is a scholar working on Archeology, Paleontology, Anthropology, Genetics and Oceanography, having authored 19 papers that have together received 560 indexed citations. Recurring topics across this work include Ancient and Medieval Archaeology Studies (9 papers), Archaeology and ancient environmental studies (8 papers), Forensic Anthropology and Bioarchaeology Studies (5 papers), Pleistocene-Era Hominins and Archaeology (3 papers), Forensic and Genetic Research (2 papers), Linguistics and language evolution (2 papers), Soil and Environmental Studies (2 papers) and Eurasian Exchange Networks (2 papers). The work is most often cited by research in Paleontology (234 citations), Archeology (301 citations), Genetics (380 citations), Space and Planetary Science (11 citations) and Anthropology (75 citations). János Dani has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Ildikó Pap, Ron Pinhasi, Ivett Kővári, Pál Raczky, László Domboróczki, Matthew D. Teasdale, Daniel G. Bradley, Michael Hofreiter, Thomas Higham and Alasdair Whittle. Their work appears in journals such as Radiocarbon, Antiquity, Nature Communications, European Journal of Archaeology and BioTechniques.
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.