Daniel Dieringer

2.3k total citations · 1 hit paper
8 papers, 2.0k citations indexed

About

Daniel Dieringer is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Daniel Dieringer has authored 8 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 3 papers in Molecular Biology and 3 papers in Plant Science. Recurrent topics in Daniel Dieringer's work include Genetic diversity and population structure (6 papers), Plant and animal studies (2 papers) and Genomics and Phylogenetic Studies (2 papers). Daniel Dieringer is often cited by papers focused on Genetic diversity and population structure (6 papers), Plant and animal studies (2 papers) and Genomics and Phylogenetic Studies (2 papers). Daniel Dieringer collaborates with scholars based in Austria, Australia and Germany. Daniel Dieringer's co-authors include Christian Schlötterer, Max Kauer, Barbara Zangerl, Robin Lockington, Viola Nolte, Julie K. Hicks, Joseph Strauss, Joan M. Kelly, Nancy P. Keller and Christian P. Kubicek and has published in prestigious journals such as Genetics, Genome Research and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Daniel Dieringer

8 papers receiving 1.9k citations

Hit Papers

microsatellite analyser (MSA): a platform independent ana... 2003 2026 2010 2018 2003 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Dieringer Austria 7 1.3k 502 448 424 406 8 2.0k
Éric Frichot France 6 1.7k 1.3× 526 1.0× 513 1.1× 521 1.2× 630 1.6× 8 2.5k
Éric Bazin France 17 1.8k 1.3× 815 1.6× 530 1.2× 427 1.0× 766 1.9× 19 2.8k
Malcolm D. Schug United States 23 1.2k 0.9× 717 1.4× 530 1.2× 534 1.3× 499 1.2× 39 2.2k
Matthew B. Hamilton United States 13 866 0.7× 430 0.9× 469 1.0× 363 0.9× 343 0.8× 35 1.4k
Pablo Orozco‐terWengel United Kingdom 26 1.6k 1.2× 569 1.1× 413 0.9× 275 0.6× 631 1.6× 89 2.6k
Gideon S. Bradburd United States 18 1.6k 1.2× 531 1.1× 551 1.2× 281 0.7× 649 1.6× 32 2.4k
Khalid Belkhir France 10 910 0.7× 360 0.7× 399 0.9× 328 0.8× 628 1.5× 12 1.8k
Robert Ekblom Sweden 23 1.2k 0.9× 1.0k 2.0× 580 1.3× 380 0.9× 746 1.8× 44 2.6k
Natalie Van Houtte Belgium 12 852 0.6× 729 1.5× 887 2.0× 387 0.9× 813 2.0× 31 2.4k
Rosalía Piñeiro United Kingdom 12 1.5k 1.1× 529 1.1× 772 1.7× 558 1.3× 598 1.5× 29 2.4k

Countries citing papers authored by Daniel Dieringer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Dieringer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Dieringer

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Dieringer. A scholar is included among the top collaborators of Daniel Dieringer 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 Daniel Dieringer. Daniel Dieringer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Dieringer, Daniel, et al.. (2024). Freshwater trematodes differ from marine trematodes in patterns connected with division of labor. PeerJ. 12. e17211–e17211. 1 indexed citations
2.
Dieringer, Daniel, Viola Nolte, & Christian Schlötterer. (2004). Population structure in African Drosophila melanogaster revealed by microsatellite analysis. Molecular Ecology. 14(2). 563–573. 27 indexed citations
3.
Schlötterer, Christian, Max Kauer, & Daniel Dieringer. (2004). Allele excess at neutrally evolving microsatellites and the implications for tests of neutrality. Proceedings of the Royal Society B Biological Sciences. 271(1541). 869–874. 19 indexed citations
4.
Dieringer, Daniel & Christian Schlötterer. (2003). Two Distinct Modes of Microsatellite Mutation Processes: Evidence From the Complete Genomic Sequences of Nine Species. Genome Research. 13(10). 2242–2251. 146 indexed citations
5.
Kauer, Max, Daniel Dieringer, & Christian Schlötterer. (2003). A Microsatellite Variability Screen for Positive Selection Associated With the “Out of Africa” Habitat Expansion ofDrosophila melanogaster. Genetics. 165(3). 1137–1148. 161 indexed citations
6.
Dieringer, Daniel & Christian Schlötterer. (2003). microsatellite analyser (MSA): a platform independent analysis tool for large microsatellite data sets. Molecular Ecology Notes. 3(1). 167–169. 1469 indexed citations breakdown →
7.
Kauer, Max, Barbara Zangerl, Daniel Dieringer, & Christian Schlötterer. (2002). Chromosomal Patterns of Microsatellite Variability Contrast Sharply in African and Non-African Populations of Drosophila melanogaster. Genetics. 160(1). 247–256. 89 indexed citations
8.
Hicks, Julie K., Robin Lockington, Joseph Strauss, et al.. (2001). RcoA has pleiotropic effects on Aspergillus nidulans cellular development. Molecular Microbiology. 39(6). 1482–1493. 63 indexed citations

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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