Beat Keller

498 citations
15 papers · 222 · h-index 7

Impact in

    • Genetics and Plant Breeding
    • Plant pathogens and resistance mechanisms
    • Plant responses to elevated CO2
    • Horticultural and Viticultural Research

Papers in

    • Plant pathogens and resistance mechanisms 4
    • Genetics and Plant Breeding 3
    • Plant responses to elevated CO2 3
    • Soybean genetics and cultivation 2
    • Agronomic Practices and Intercropping Systems 3

Beat Keller

14 papers receiving 219 citations

Peers

Beat Keller
Comparison fields: 5 of 39
  • Plant Science 184
  • Agronomy and Crop Science 26
  • Ecology 39
  • Global and Planetary Change 28
  • Genetics 34
Replace Maximilian J. Feldman with:
Maximilian J. Feldman United States
Pieter Clauw Austria
Mirjana Šijačić‐Nikolić Serbia
Tino Dornbusch France
Zhongbao Shen China
Tan D. Tuong United States
Yishan Ji China
Nadine Bernhardt Germany
Boaz Negin Israel
Anand Seethepalli United States
Beat Keller relative to Maximilian J. Feldman United States Maximilian J. Feldman's profile →
Citations per field
00.5×1.5×2.3×
Maximilian J. Feldman · 1×
Citations per year

Countries citing papers authored by Beat Keller

Since Specialization
Citations

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

Fields of papers citing papers by Beat Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 202056
2 201841
3 202132
4 202224
5 201921
6 202313
7 20228
8 20216
9 20225
10 20245
11 20184
12 20243
13 20243
14 20251
15 20250

About Beat Keller

Beat Keller is a scholar working on Plant Science, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Ecology and Genetics, having authored 15 papers that have together received 222 indexed citations. Recurring topics across this work include Plant pathogens and resistance mechanisms (4 papers), Plant and animal studies (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Agronomic Practices and Intercropping Systems (3 papers), Genetics and Plant Breeding (3 papers), Plant responses to elevated CO2 (3 papers), Soybean genetics and cultivation (2 papers) and Remote Sensing in Agriculture (2 papers). The work is most often cited by research in Plant Science (184 citations), Agronomy and Crop Science (26 citations), Ecology (39 citations), Global and Planetary Change (28 citations) and Genetics (34 citations). Beat Keller has collaborated with scholars based in Switzerland, Germany and Colombia. Frequent co-authors include Onno Muller, Uwe Rascher, Shizue Matsubara, Bruno Studer, Bodo Raatz, Roland Pieruschka, Héctor Fabio Buendía, Daniel Ariza-Suárez, Lars Zimmermann and Juan De La Hoz. Their work appears in journals such as Frontiers in Plant Science, G3 Genes Genomes Genetics, Photosynthesis Research, Communications Earth & Environment and Agronomy.

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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