Thomas Presterl

2.2k citations
43 papers · 1.5k indexed · h-index 24
Topics
Genetic Mapping and Diversity in Plants and Animals (31 papers)Genetics and Plant Breeding (29 papers)Wheat and Barley Genetics and Pathology (10 papers)
Partner nations
GermanyMaliFrance

In The Last Decade

Thomas Presterl

43 papers receiving 1.5k citations

Peers

Thomas Presterl
Comparison fields: 5 of 70
  • Plant Science 1.4k
  • Genetics 632
  • Agronomy and Crop Science 423
  • Molecular Biology 179
  • Soil Science 54
Replace Heiko K. Parzies with:
Heiko K. Parzies Germany
K. V. Prabhu India
Márta Molnár‐Láng Hungary
Stephen Pearce United States
Ana M. Casas Spain
Mark Sawkins Mexico
Filippo M. Bassi Morocco
James Simmonds United Kingdom
Zhuanfang Hao China
Brigitte Gouesnard France
Thomas Presterl relative to Heiko K. Parzies Germany Heiko K. Parzies's profile →
Citations per field
00.5×3.2×
Heiko K. Parzies · 1×
Citations per year

Countries citing papers authored by Thomas Presterl

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Presterl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Presterl

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Presterl. A scholar is included among the top collaborators of Thomas Presterl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Presterl. Thomas Presterl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 5
3 2
4 4
5 1
6 9
7 35
8 24
9 16
10 46
11 38
12 26
13 42
14 32
15 33
16 28
17 26
18 12
19 42
20
Usefulness of F2, F2-SYN2, and BC1 populations derived from four adapted by exotic maize crosses
1

About Thomas Presterl

Thomas Presterl is a scholar working on Agronomy and Crop Science, Genetics and Plant Science, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (31 papers), Genetics and Plant Breeding (29 papers) and Wheat and Barley Genetics and Pathology (10 papers). The work is most often cited by research in Agronomy and Crop Science (423 citations), Plant Science (1.4k citations) and Genetics (632 citations). Thomas Presterl has collaborated with scholars based in Germany, Mali and France. Frequent co-authors include H. H. Geiger, Milena Ouzunova, Walter Schmidt, Günter Seitz, Bettina Kessel, Thomas Miedaner, Eva Weltzien, Daniela Scheuermann, Chris‐Carolin Schön and E. M. Thiemt. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

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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