Eva Wolf

574 citations
7 papers · 376 · h-index 7

Impact in

Papers in

    • Genomics and Phylogenetic Studies 5
    • DNA and Nucleic Acid Chemistry 1
    • DNA and Biological Computing 1
    • Genetic diversity and population structure 4
    • Bacterial Genetics and Biotechnology 1

Eva Wolf

7 papers receiving 371 citations

Peers

Eva Wolf
Comparison fields: 5 of 46
  • Ecology, Evolution, Behavior and Systematics 161
  • Plant Science 193
  • Ecological Modeling 15
  • Molecular Biology 208
  • Genetics 80
Replace Carolina Granados Mendoza with:
Carolina Granados Mendoza Mexico
Guoqian Hao China
Phan Kế Lộc Vietnam
Carolina I. Calviño Argentina
Julià Molero Spain
Abigail J. Moore United States
Bruno S. Amorim Brazil
Lawrence M. Kelly United States
Boni C. Cruz United States
Juqing Kang China
Eva Wolf relative to Carolina Granados Mendoza Mexico Carolina Granados Mendoza's profile →
Citations per field
00.5×
Carolina Granados Mendoza · 1×
Citations per year

Countries citing papers authored by Eva Wolf

Since Specialization
Citations

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

Fields of papers citing papers by Eva Wolf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2015208
2 202091
3 201840
4 199513
5 20219
6 20178
7 20247

About Eva Wolf

Eva Wolf is a scholar working on Molecular Biology, Genetics, Ecology, Evolution, Behavior and Systematics, Nutrition and Dietetics and Plant Science, having authored 7 papers that have together received 376 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Plant Ecology and Taxonomy Studies (4 papers), Genetic diversity and population structure (4 papers), Nuts composition and effects (1 paper), DNA and Nucleic Acid Chemistry (1 paper), Bacterial Genetics and Biotechnology (1 paper), Chromosomal and Genetic Variations (1 paper) and DNA and Biological Computing (1 paper). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (161 citations), Plant Science (193 citations), Ecological Modeling (15 citations), Molecular Biology (208 citations) and Genetics (80 citations). Eva Wolf has collaborated with scholars based in Germany, United Kingdom and Czechia. Frequent co-authors include Мarcus A. Koch, Nora Hohmann, Martin A. Lysák, Philippe Rigault, Roswitha Schmickl, Barbara Neuffer, Dmitry A. German, Klaus Mummenhoff, Xiao‐Chen Huang and Nora Walden. Their work appears in journals such as BMC Genomics, The Plant Cell, Protein Engineering Design and Selection, Cell Reports and eLife.

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.

Explore authors with similar magnitude of impact