Ágnes Major

553 citations
18 papers · 441 · h-index 12

Impact in

Papers in

    • Aquatic Invertebrate Ecology and Behavior 3
    • Genetic diversity and population structure 6
    • Forensic and Genetic Research 2

Ágnes Major

17 papers receiving 418 citations

Peers

Ágnes Major
Comparison fields: 5 of 50
  • Ecological Modeling 41
  • Health, Toxicology and Mutagenesis 128
  • Ecology 224
  • Paleontology 42
  • Endocrinology 23
Replace Masako Nakamura with:
Masako Nakamura Japan
M. Pilar Cabezas Spain
Gianandrea La Porta Italy
Alan E. Stiven United States
Esteban M. Paolucci Argentina
Aline Quadros Brazil
A. Miranda Spain
Ferenc Vilisics Hungary
Ignacio Munilla Spain
R. William Bouchard United States
Ágnes Major relative to Masako Nakamura Japan Masako Nakamura's profile →
Citations per field
00.5×6.7×
Masako Nakamura · 1×
Citations per year

Countries citing papers authored by Ágnes Major

Since Specialization
Citations

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

Fields of papers citing papers by Ágnes Major

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2003137
2 201243
3 201242
4 201139
5 201627
6 201421
7 200920
8 200918
9 200917
10 201116
11 201315
12 201112
13 202210
14 20058
15
Extremely low genetic diversity in the endangered striped nerite, Theodoxus transversalis (Mollusca, Gastropoda, Neritidae) - A result of ancestral or recent effects?
20126
16 20094
17 20054
18 19992

About Ágnes Major

Ágnes Major is a scholar working on Ecology, Genetics, Plant Science, Nature and Landscape Conservation and Nutrition and Dietetics, having authored 18 papers that have together received 441 indexed citations. Recurring topics across this work include Genetic diversity and population structure (6 papers), Nuts composition and effects (3 papers), Aquatic Invertebrate Ecology and Behavior (3 papers), Forensic and Genetic Research (2 papers), Plant and Fungal Interactions Research (2 papers), Forest ecology and management (2 papers), Mollusks and Parasites Studies (2 papers) and Botany and Plant Ecology Studies (2 papers). The work is most often cited by research in Ecological Modeling (41 citations), Health, Toxicology and Mutagenesis (128 citations), Ecology (224 citations), Paleontology (42 citations) and Endocrinology (23 citations). Ágnes Major has collaborated with scholars based in Hungary, Germany and Belgium. Frequent co-authors include Robert H. Poppenga, Robert J. Taylor, Kate M. Taylor, Anton M. Scheuhammer, David C. Evers, Attila I. Engloner, János Podani, I Rácz, Laura Parducci and Mihály Braun. Their work appears in journals such as Aquatic Botany, Journal of Biogeography, Organisms Diversity & Evolution, American Fern Journal and Statistical Applications in Genetics and Molecular Biology.

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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