Ben Wielstra

2.7k citations
91 papers · 1.8k · h-index 25

Impact in

Papers in

    • Genetic diversity and population structure 53
    • Evolution and Genetic Dynamics 8
    • Species Distribution and Climate Change 28

Ben Wielstra

87 papers receiving 1.8k citations

Peers

Ben Wielstra
Comparison fields: 5 of 67
  • Ecological Modeling 479
  • Genetics 1.0k
  • Global and Planetary Change 624
  • Ecology 600
  • Nature and Landscape Conservation 257
Replace Daniele Salvi with:
Daniele Salvi Italy
Daniele Canestrelli Italy
Guillermo Velo‐Antón Portugal
Spartak N. Litvinchuk Russia
Nikos Poulakakis Greece
Jelka Crnobrnja‐Isailović Serbia
Catarina Pinho Portugal
Sally Potter Australia
J. W. Arntzen United Kingdom
Mariana L. Lyra Brazil
Ben Wielstra relative to Daniele Salvi Italy Daniele Salvi's profile →
Citations per field
00.5×1.7×
Daniele Salvi · 1×
Citations per year

Countries citing papers authored by Ben Wielstra

Since Specialization
Citations

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

Fields of papers citing papers by Ben Wielstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013107
2 2013105
3 201176
4 200771
5 201766
6 201066
7 201459
8 201955
9 201952
10 201851
11 201248
12 201745
13 201743
14 201542
15 201440
16 202040
17 201439
18 201537
19 200936
20 201334

About Ben Wielstra

Ben Wielstra is a scholar working on Genetics, Ecological Modeling, Molecular Biology, Global and Planetary Change and Ecology, having authored 91 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic diversity and population structure (53 papers), Species Distribution and Climate Change (28 papers), Amphibian and Reptile Biology (25 papers), Genomics and Phylogenetic Studies (15 papers), Wildlife Ecology and Conservation (13 papers), Evolution and Genetic Dynamics (8 papers), Plant and animal studies (8 papers) and Identification and Quantification in Food (8 papers). The work is most often cited by research in Ecological Modeling (479 citations), Genetics (1.0k citations), Global and Planetary Change (624 citations), Ecology (600 citations) and Nature and Landscape Conservation (257 citations). Ben Wielstra has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Jan W. Arntzen, Gonçalo Espregueira Themudo, Wiesław Babik, Roger K. Butlin, Kurtuluş Olgun, Spartak N. Litvinchuk, Piotr Zieliński, Terry Burke, Graham P. Wallis and Yali Si. Their work appears in journals such as Molecular Phylogenetics and Evolution, Amphibia-Reptilia, Ecology and Evolution, Biological Journal of the Linnean Society and Molecular Ecology Resources.

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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