Daniel Rigling

5.5k total citations · 1 hit paper
125 papers, 3.5k citations indexed

About

Daniel Rigling is a scholar working on Plant Science, Endocrinology and Cell Biology. According to data from OpenAlex, Daniel Rigling has authored 125 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Plant Science, 77 papers in Endocrinology and 52 papers in Cell Biology. Recurrent topics in Daniel Rigling's work include Plant and Fungal Interactions Research (77 papers), Plant Virus Research Studies (59 papers) and Plant Pathogens and Fungal Diseases (52 papers). Daniel Rigling is often cited by papers focused on Plant and Fungal Interactions Research (77 papers), Plant Virus Research Studies (59 papers) and Plant Pathogens and Fungal Diseases (52 papers). Daniel Rigling collaborates with scholars based in Switzerland, United States and Croatia. Daniel Rigling's co-authors include Simone Prospero, U. Heiniger, Ottmar Holdenrieder, Neal K. Van Alfen, Matthias Dobbertin, Patrik J. Hoegger, Corine N. Schoebel, Cécile Robin, Giovanni Fontana and Peter Brang and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Journal of Virology.

In The Last Decade

Daniel Rigling

124 papers receiving 3.4k citations

Hit Papers

Cryphonectria parasitica , the causal agent of chestnut b... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Rigling Switzerland 33 3.0k 2.3k 1.2k 563 362 125 3.5k
Simone Prospero Switzerland 26 1.9k 0.6× 793 0.3× 1.1k 0.9× 489 0.9× 284 0.8× 86 2.3k
Cécile Robin France 29 2.3k 0.8× 783 0.3× 1.4k 1.2× 587 1.0× 309 0.9× 76 2.8k
Joan Webber United Kingdom 29 2.0k 0.7× 371 0.2× 1.6k 1.3× 1.2k 2.1× 686 1.9× 96 3.1k
Benoît Marçais France 32 2.2k 0.7× 291 0.1× 1.4k 1.2× 1.1k 1.9× 549 1.5× 85 3.2k
Paolo Capretti Italy 27 1.5k 0.5× 239 0.1× 1.3k 1.0× 866 1.5× 489 1.4× 118 2.4k
Cyril Dutech France 28 1.3k 0.4× 264 0.1× 733 0.6× 448 0.8× 166 0.5× 60 2.3k
Keith Woeste United States 33 2.1k 0.7× 1.4k 0.6× 205 0.2× 290 0.5× 163 0.5× 146 3.6k
Everett M. Hansen United States 43 4.7k 1.6× 503 0.2× 3.5k 2.9× 980 1.7× 423 1.2× 182 5.6k
Jolanda Roux South Africa 39 3.4k 1.1× 391 0.2× 3.8k 3.2× 2.0k 3.5× 803 2.2× 224 5.1k
Jennifer L. Parke United States 27 2.1k 0.7× 162 0.1× 842 0.7× 489 0.9× 379 1.0× 62 2.7k

Countries citing papers authored by Daniel Rigling

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Rigling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Rigling

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Rigling. A scholar is included among the top collaborators of Daniel Rigling 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 Rigling. Daniel Rigling 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
1.
Schoebel, Corine N., Simone Prospero, Daniel Rigling, & Beat Ruffner. (2024). Fishing for Phytophthora in watercourses of the highly urbanized Swiss Plateau. Mycological Progress. 23(1). 3 indexed citations
2.
Muller, Élodie, Miloň Dvořák, Benoît Marçais, et al.. (2023). Conditions of emergence of the Sooty Bark Disease and aerobiology of Cryptostroma corticale in Europe. NeoBiota. 84. 319–347. 8 indexed citations
4.
Kondō, Hideki, et al.. (2022). Novel RNA viruses from the native range of Hymenoscyphus fraxineus, the causal fungal agent of ash dieback. Virus Research. 320. 198901–198901. 13 indexed citations
5.
Sato, Yukiyo, Sakae Hisano, Carolina Cornejo, et al.. (2021). A new tetra-segmented splipalmivirus with divided RdRP domains from Cryphonectria naterciae, a fungus found on chestnut and cork oak trees in Europe. Virus Research. 307. 198606–198606. 19 indexed citations
6.
Rigling, Daniel, et al.. (2020). Chromosomal assembly and analyses of genome-wide recombination rates in the forest pathogenic fungus Armillaria ostoyae. Heredity. 124(6). 699–713. 13 indexed citations
7.
Ruffner, Beat, Daniel Rigling, & Corine N. Schoebel. (2019). Multispecies Phytophthora disease patterns in declining beech stands. Forest Pathology. 49(3). 6 indexed citations
8.
Prospero, Simone, et al.. (2019). Identification and characterization of hypovirus-infected Cryphonectriaparasiticaisolates from biological control plots in İzmir, Kütahya, and Sinop. TURKISH JOURNAL OF AGRICULTURE AND FORESTRY. 43(6). 527–537. 4 indexed citations
9.
Schneider, Salome, Esther Jung, Valentin Queloz, Joana Beatrice Meyer, & Daniel Rigling. (2019). Detection of pine needle diseases caused by Dothistroma septosporum, Dothistroma pini and Lecanosticta acicola using different methodologies. Forest Pathology. 49(2). 14 indexed citations
10.
Croll, Daniel, Stefan Zoller, György Sipos, et al.. (2017). High-density genetic mapping identifies the genetic basis of a natural colony morphology mutant in the root rot pathogen Armillaria ostoyae. Fungal Genetics and Biology. 108. 44–54. 6 indexed citations
11.
Schoebel, Corine N., Leticia Botella, Vaidotas Lygis, & Daniel Rigling. (2017). Population genetic analysis of a parasitic mycovirus to infer the invasion history of its fungal host. Molecular Ecology. 26(9). 2482–2497. 20 indexed citations
12.
Schoebel, Corine N., et al.. (2017). Fungal community in symptomatic ash leaves in Spain. BALTIC FORESTRY. 23(1). 68–73. 7 indexed citations
13.
Rigling, Daniel & Simone Prospero. (2017). Cryphonectria parasitica , the causal agent of chestnut blight: invasion history, population biology and disease control. Molecular Plant Pathology. 19(1). 7–20. 325 indexed citations breakdown →
14.
Prospero, Simone, et al.. (2017). Frequent diploidisation of haploid Armillaria ostoyae strains in an outdoor inoculation experiment. Fungal Biology. 122(2-3). 147–155. 5 indexed citations
15.
Meyer, Joana Beatrice, et al.. (2016). First report of Pseudomonas syringae pv. aesculi on horse chestnut in Switzerland. New Disease Reports. 33(1). 19–19. 1 indexed citations
16.
Peters, Franziska S., Johanna Bußkamp, Simone Prospero, Daniel Rigling, & Berthold Metzler. (2014). Genetic diversification of the chestnut blight fungus Cryphonectria parasitica and its associated hypovirus in Germany. Fungal Biology. 118(2). 193–210. 33 indexed citations
17.
Tsykun, Tetyana, Daniel Rigling, & Simone Prospero. (2013). A new multilocus approach for a reliable DNA-based identification of Armillaria species. Mycologia. 105(4). 1059–1076. 32 indexed citations
18.
Rigling, Andreas, Matthias Dobbertin, Matthias Bürgi, et al.. (2006). Verdrängen Flaumeichen die Walliser Waldföhren?. DORA WSL (Swiss Federal Institute for Forest, Snow and Landscape Research). 2 indexed citations
19.
Rigling, Daniel, et al.. (2004). Eine neue Gefahr für die Föhren der Schweiz? Der Kiefernholznematode. 85(6). 35–37. 4 indexed citations
20.
Gobbin, D., Patrik J. Hoegger, U. Heiniger, & Daniel Rigling. (2003). Sequence variation and evolution of Cryphonectria hypovirus 1 (CHV-1) in Europe. Virus Research. 97(1). 39–46. 65 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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