Martin Parniske

19.5k total citations · 6 hit papers
115 papers, 12.7k citations indexed

About

Martin Parniske is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Martin Parniske has authored 115 papers receiving a total of 12.7k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Plant Science, 15 papers in Molecular Biology and 14 papers in Agronomy and Crop Science. Recurrent topics in Martin Parniske's work include Legume Nitrogen Fixing Symbiosis (85 papers), Plant nutrient uptake and metabolism (44 papers) and Plant-Microbe Interactions and Immunity (29 papers). Martin Parniske is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (85 papers), Plant nutrient uptake and metabolism (44 papers) and Plant-Microbe Interactions and Immunity (29 papers). Martin Parniske collaborates with scholars based in Germany, United Kingdom and Japan. Martin Parniske's co-authors include Jonathan D. G. Jones, Satoshi Tabata, Shusei Sato, Jens Stougaard, Caroline Gutjahr, Catherine Kistner, Klaus Hahlbrock, Satoko Yoshida, Katharina Markmann and Meritxell Antolín‐Llovera and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Martin Parniske

114 papers receiving 12.4k citations

Hit Papers

Arbuscular mycorrhiza: the mother of plant root endo... 1996 2026 2006 2016 2008 2002 1996 2018 2013 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
Martin Parniske Germany 60 11.8k 2.6k 1.9k 655 519 115 12.7k
Kirankumar S. Mysore United States 67 12.4k 1.0× 5.8k 2.2× 1.3k 0.7× 401 0.6× 531 1.0× 274 14.0k
Jens Stougaard Denmark 66 13.6k 1.1× 2.5k 0.9× 4.2k 2.3× 383 0.6× 220 0.4× 185 14.6k
Sofie Goormachtig Belgium 44 4.8k 0.4× 1.6k 0.6× 964 0.5× 827 1.3× 212 0.4× 120 5.7k
Ertao Wang China 41 6.3k 0.5× 1.2k 0.5× 573 0.3× 365 0.6× 347 0.7× 81 7.0k
Jean‐Michel Ané United States 41 4.9k 0.4× 1.2k 0.4× 937 0.5× 382 0.6× 168 0.3× 106 5.8k
Stijn Spaepen Belgium 30 6.4k 0.5× 2.1k 0.8× 305 0.2× 388 0.6× 741 1.4× 52 8.0k
Karam B. Singh Australia 58 10.2k 0.9× 4.4k 1.7× 541 0.3× 1.4k 2.1× 983 1.9× 231 11.8k
Douglas R. Cook United States 39 5.5k 0.5× 883 0.3× 1.0k 0.6× 425 0.6× 223 0.4× 82 6.0k
Carl J. Douglas Canada 63 5.9k 0.5× 7.0k 2.7× 614 0.3× 663 1.0× 262 0.5× 118 10.1k
Guillaume Bécard France 46 10.0k 0.8× 1.9k 0.7× 553 0.3× 2.8k 4.3× 730 1.4× 68 10.7k

Countries citing papers authored by Martin Parniske

Since Specialization
Citations

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

Fields of papers citing papers by Martin Parniske

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Parniske

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Parniske. A scholar is included among the top collaborators of Martin Parniske 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 Martin Parniske. Martin Parniske 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.
Parniske, Martin, et al.. (2025). Engineering and comparison of cas12a‐based genome editing systems in plants. The Plant Journal. 123(5). e70410–e70410.
2.
Schreiber, Tom, et al.. (2024). A quantitative assay for the efficiency of RNA‐guided genome editing in plants. The Plant Journal. 119(5). 2564–2577. 1 indexed citations
3.
Parniske, Martin, et al.. (2023). Primary and Secondary Metabolites in Lotus japonicus. Journal of Agricultural and Food Chemistry. 71(30). 11277–11303. 12 indexed citations
5.
Montiel, Jesús, Niels Sandal, Haojie Jin, et al.. (2022). A Promiscuity Locus Confers Lotus burttii Nodulation with Rhizobia from Five Different Genera. Molecular Plant-Microbe Interactions. 35(11). 1006–1017. 8 indexed citations
6.
Wang, Tongming, Yi Ding, Jean Keller, et al.. (2019). LCO Receptors Involved in Arbuscular Mycorrhiza Are Functional for Rhizobia Perception in Legumes. Current Biology. 29(24). 4249–4259.e5. 50 indexed citations
7.
Ried, Martina Katharina, Andreas Binder, Andrea A. Gust, et al.. (2019). A set of Arabidopsis genes involved in the accommodation of the downy mildew pathogen Hyaloperonospora arabidopsidis. PLoS Pathogens. 15(7). e1007747–e1007747. 13 indexed citations
8.
Chiasson, David, Sabine Bachmaier, Joël Ryan, et al.. (2019). A unified multi-kingdom Golden Gate cloning platform. Scientific Reports. 9(1). 10131–10131. 45 indexed citations
9.
Kudla, Jörg, Dirk Becker, Erwin Grill, et al.. (2018). Advances and current challenges in calcium signaling. New Phytologist. 218(2). 414–431. 452 indexed citations breakdown →
10.
11.
Cerri, Marion R., Quanhui Wang, Paul Stolz, et al.. (2017). The ERN1 transcription factor gene is a target of the CCaMK/CYCLOPS complex and controls rhizobial infection in Lotus japonicus. New Phytologist. 215(1). 323–337. 68 indexed citations
12.
Parniske, Martin, et al.. (2016). The Thiamine Biosynthesis Gene THI1 Promotes Nodule Growth and Seed Maturation. PLANT PHYSIOLOGY. 172(3). 2033–2043. 19 indexed citations
13.
Qiu, Liping, Jie-shun Lin, Shusei Sato, et al.. (2015). SCARN a Novel Class of SCAR Protein That Is Required for Root-Hair Infection during Legume Nodulation. PLoS Genetics. 11(10). e1005623–e1005623. 63 indexed citations
14.
Ried, Martina Katharina, Meritxell Antolín‐Llovera, & Martin Parniske. (2014). Spontaneous symbiotic reprogramming of plant roots triggered by receptor-like kinases. eLife. 3. 72 indexed citations
15.
Singh, Sylvia, et al.. (2014). CYCLOPS, A DNA-Binding Transcriptional Activator, Orchestrates Symbiotic Root Nodule Development. Cell Host & Microbe. 15(2). 139–152. 255 indexed citations breakdown →
16.
Binder, Andreas, Robert Morbitzer, Claudia Popp, et al.. (2014). A Modular Plasmid Assembly Kit for Multigene Expression, Gene Silencing and Silencing Rescue in Plants. PLoS ONE. 9(2). e88218–e88218. 100 indexed citations
17.
Groth, Martin, Sonja Kosuta, Caroline Gutjahr, et al.. (2013). Two L otus japonicus symbiosis mutants impaired at distinct steps of arbuscule development. The Plant Journal. 75(1). 117–129. 11 indexed citations
18.
Strauß, T, Remco M. P. Van Poecke, Patrick Römer, et al.. (2012). RNA-seq pinpoints a Xanthomonas TAL-effector activated resistance gene in a large-crop genome. Proceedings of the National Academy of Sciences. 109(47). 19480–19485. 97 indexed citations
19.
Sandal, Niels, Haojie Jin, Dulce N. Rodríguez-Navarro, et al.. (2012). A Set of Lotus japonicus Gifu x Lotus burttii Recombinant Inbred Lines Facilitates Map-based Cloning and QTL Mapping. DNA Research. 19(4). 317–323. 18 indexed citations
20.

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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