Daniela Guicking

28 papers receiving 723 citations

Peers

Daniela Guicking
Comparison fields: 5 of 49
  • Ecological Modeling 169
  • Nature and Landscape Conservation 289
  • Global and Planetary Change 398
  • Genetics 409
  • Ecology 286
Replace Elorri Arevalo with:
Elorri Arevalo France
Peter Lenk Germany
Aziz Avcı Türkiye
Mario Lo Valvo Italy
Flora Ihlow Germany
Frederico Gustavo Rodrigues França Brazil
Kurtuluş Olgun Türkiye
Gerardo C. Leynaud Argentina
Edoardo Razzetti Italy
Zoltán T. Nagy Belgium
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Citations per year

Countries citing papers authored by Daniela Guicking

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Guicking

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Guicking, 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 Daniela Guicking Line = papers co-authored together Daniela Guicking links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007115
2 2005105
3 200691
4 200774
5 200963
6 200853
7 200943
8
When turtle distribution tells European history: mtDNA haplotypes of Emys orbicularis reflect in Germany former division by the Iron Curtain
200434
9 200833
10 200528
11 201120
12 200419
13 200119
14 201116
15 200514
16 200914
17 200610
18 200710
19 20139
20 20168

About Daniela Guicking

Daniela Guicking is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Global and Planetary Change, Nature and Landscape Conservation and Molecular Biology, having authored 30 papers that have together received 802 indexed citations. Recurring topics across this work include Genetic diversity and population structure (12 papers), Amphibian and Reptile Biology (11 papers), Plant and animal studies (8 papers), Turtle Biology and Conservation (7 papers), Species Distribution and Climate Change (5 papers), Wildlife Ecology and Conservation (4 papers), Plant and Fungal Species Descriptions (4 papers) and Plant Parasitism and Resistance (4 papers). The work is most often cited by research in Ecological Modeling (169 citations), Nature and Landscape Conservation (289 citations), Global and Planetary Change (398 citations), Genetics (409 citations) and Ecology (286 citations). Daniela Guicking has collaborated with scholars based in Germany, Malaysia and Indonesia. Frequent co-authors include Michaël Wink, Ulrich Joger, Uwe Fritz, Robin Lawson, Zoltán T. Nagy, Peter Lenk, Sandro Tripepi, Kurt Weising, Anna K. Hundsdörfer and Markus Auer. Their work appears in journals such as Organisms Diversity & Evolution, Amphibia-Reptilia, Zoologica Scripta, Molecular Ecology Resources and Molecular Phylogenetics and Evolution.

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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