Vanessa C. Bieker

712 citations
15 papers · 235 · h-index 7

Impact in

    • Species Distribution and Climate Change
    • Genetic diversity and population structure
    • Forensic and Genetic Research

Papers in

    • Genetic diversity and population structure 9
    • Forensic and Genetic Research 1
    • Genomics and Phylogenetic Studies 3

Vanessa C. Bieker

13 papers receiving 231 citations

Peers

Vanessa C. Bieker
Comparison fields: 5 of 46
  • Ecological Modeling 28
  • Genetics 91
  • Ecology, Evolution, Behavior and Systematics 55
  • Space and Planetary Science 3
  • Plant Science 71
Replace Anke Schmidt with:
Anke Schmidt Germany
Long Zhou China
Yazhen Ma China
Luciana C. Resende‐Moreira Brazil
Enrique Maguilla Spain
Xiuyan Feng China
Anna V. Williams Australia
Kerin E. Bentley United States
Natalie Damaso United States
Živa Fišer Slovenia
Vanessa C. Bieker relative to Anke Schmidt Germany Anke Schmidt's profile →
Citations per field
00.5×7.8×
Anke Schmidt · 1×
Citations per year

Countries citing papers authored by Vanessa C. Bieker

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa C. Bieker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vanessa C. Bieker. 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 Vanessa C. Bieker. The network helps show where Vanessa C. Bieker may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201873
2 202339
3 202036
4 202029
5 201520
6 20237
7 20257
8 20246
9 20236
10 20244
11 20254
12 20232
13 20252
14 20250
15 20250

About Vanessa C. Bieker

Vanessa C. Bieker is a scholar working on Genetics, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Ecology and General Health Professions, having authored 15 papers that have together received 235 indexed citations. Recurring topics across this work include Genetic diversity and population structure (9 papers), Plant and animal studies (5 papers), Indigenous Studies and Ecology (4 papers), Ecology and Vegetation Dynamics Studies (3 papers), Genomics and Phylogenetic Studies (3 papers), Wildlife Ecology and Conservation (2 papers), Plant Pathogens and Resistance (2 papers) and Forensic and Genetic Research (1 paper). The work is most often cited by research in Ecological Modeling (28 citations), Genetics (91 citations), Ecology, Evolution, Behavior and Systematics (55 citations), Space and Planetary Science (3 citations) and Plant Science (71 citations). Vanessa C. Bieker has collaborated with scholars based in Norway, United States and United Kingdom. Frequent co-authors include Michael D. Martin, Nathan Wales, Mikkel Winther Pedersen, Jazmín Ramos‐Madrigal, Logan Kistler, Fátima Sánchez Barreiro, Jacob Agerbo Rasmussen, Paul Battlay, Tim Connallon and Kathryn A. Hodgins. Their work appears in journals such as Molecular Ecology, Biodiversity and Conservation, Nature Communications, Evolutionary Applications and Mobile DNA.

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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