Daniel Jablonski

2.4k citations
153 papers · 1.4k · h-index 19

Impact in

Papers in

    • Amphibian and Reptile Biology 108
    • Genetic diversity and population structure 44
    • Lepidoptera: Biology and Taxonomy 23
    • Spider Taxonomy and Behavior Studies 18

Daniel Jablonski

135 papers receiving 1.3k citations

Peers

Daniel Jablonski
Comparison fields: 5 of 76
  • Ecological Modeling 536
  • Global and Planetary Change 916
  • Genetics 721
  • Ecology, Evolution, Behavior and Systematics 322
  • Ecology 422
Replace Jelka Crnobrnja‐Isailović with:
Jelka Crnobrnja‐Isailović Serbia
Nasrullah Rastegar‐Pouyani Iran
Philippe Géniez France
Ross D. MacCulloch Canada
Claudia Corti Italy
Daniele Canestrelli Italy
Guillermo Velo‐Antón Portugal
Zoltán T. Nagy Belgium
Angelica Crottini Portugal
Sylvain Ursenbacher Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Jablonski

Since Specialization
Citations

This map shows the geographic impact of Daniel Jablonski'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 Daniel Jablonski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Jablonski more than expected).

Fields of papers citing papers by Daniel Jablonski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Jablonski. 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 Daniel Jablonski. The network helps show where Daniel Jablonski may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Jablonski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Jablonski Line = papers co-authored together Daniel Jablonski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020160
2 201087
3 201767
4 201366
5 202351
6 201648
7 201847
8 201645
9 201642
10 201834
11 201729
12 201825
13 201724
14 201823
15 201723
16 202121
17 202121
18 201920
19 202419
20 201817

About Daniel Jablonski

Daniel Jablonski is a scholar working on Global and Planetary Change, Genetics, Ecological Modeling, Ecology and Ecology, Evolution, Behavior and Systematics, having authored 153 papers that have together received 1.4k indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (108 papers), Species Distribution and Climate Change (54 papers), Genetic diversity and population structure (44 papers), Lepidoptera: Biology and Taxonomy (23 papers), Spider Taxonomy and Behavior Studies (18 papers), Wildlife Ecology and Conservation (16 papers), Genomics and Phylogenetic Studies (15 papers) and Animal Behavior and Reproduction (13 papers). The work is most often cited by research in Ecological Modeling (536 citations), Global and Planetary Change (916 citations), Genetics (721 citations), Ecology, Evolution, Behavior and Systematics (322 citations) and Ecology (422 citations). Daniel Jablonski has collaborated with scholars based in Slovakia, Czechia and Russia. Frequent co-authors include Dávid Jandzík, Petros Lymberakis, Václav Gvoždík, Uwe Fritz, Christophe Dufresnes, Jiří Moravec, Melita Vamberger, Carolin Kindler, Rafaqat Masroor and Oleg V. Kukushkin. Their work appears in journals such as Molecular Phylogenetics and Evolution, Amphibia-Reptilia, Zootaxa, Vertebrate Zoology and ZooKeys.

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.

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