Hannes Richter

804 total citations
19 papers, 574 citations indexed

About

Hannes Richter is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Hannes Richter has authored 19 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 7 papers in Molecular Biology and 6 papers in Cell Biology. Recurrent topics in Hannes Richter's work include melanin and skin pigmentation (3 papers), Plant Gene Expression Analysis (3 papers) and Biochemical Analysis and Sensing Techniques (3 papers). Hannes Richter is often cited by papers focused on melanin and skin pigmentation (3 papers), Plant Gene Expression Analysis (3 papers) and Biochemical Analysis and Sensing Techniques (3 papers). Hannes Richter collaborates with scholars based in Switzerland, Germany and Finland. Hannes Richter's co-authors include Olivier Viret, Katia Gindro, R. Pezet, Alexandre Roulin, Anne‐Lyse Ducrest, Helge Großhans, Georg Pohnert, Guillaume Emaresi, Pierre Bize and Kjeld A. Marcker and has published in prestigious journals such as Molecular Cell, PLoS ONE and Nature Structural & Molecular Biology.

In The Last Decade

Hannes Richter

18 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hannes Richter Switzerland 13 232 227 164 104 69 19 574
Akiko Soejima Japan 14 377 1.6× 276 1.2× 42 0.3× 448 4.3× 64 0.9× 40 678
SeonJoo Park South Korea 19 325 1.4× 688 3.0× 116 0.7× 375 3.6× 31 0.4× 87 992
Hai Peng China 15 581 2.5× 378 1.7× 23 0.1× 23 0.2× 40 0.6× 50 842
Aaron H. Kennedy United States 12 281 1.2× 285 1.3× 95 0.6× 319 3.1× 51 0.7× 17 548
Yimeng Kong China 12 355 1.5× 804 3.5× 57 0.3× 83 0.8× 46 0.7× 16 1.1k
Z. Szabó Hungary 16 372 1.6× 220 1.0× 40 0.2× 60 0.6× 14 0.2× 60 654
Zhaodong Hao China 18 877 3.8× 852 3.8× 82 0.5× 110 1.1× 34 0.5× 64 1.3k
Heyu Yang China 11 214 0.9× 406 1.8× 62 0.4× 128 1.2× 19 0.3× 29 575
Shigehiro Yamada Japan 10 334 1.4× 321 1.4× 32 0.2× 45 0.4× 16 0.2× 18 584
Yingjuan Su China 18 462 2.0× 901 4.0× 147 0.9× 675 6.5× 23 0.3× 132 1.4k

Countries citing papers authored by Hannes Richter

Since Specialization
Citations

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

Fields of papers citing papers by Hannes Richter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannes Richter

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

All Works

19 of 19 papers shown
1.
Ducrest, Anne‐Lyse, Luis M. San‐Jose, Samuel Neuenschwander, et al.. (2025). Melanin and Neurotransmitter Signalling Genes Are Differentially Co‐Expressed in Growing Feathers of White and Rufous Barn Owls. Pigment Cell & Melanoma Research. 38(2). e70001–e70001.
2.
Richter, Hannes, et al.. (2021). A coupled enzyme assay for detection of selenium-binding protein 1 (SELENBP1) methanethiol oxidase (MTO) activity in mature enterocytes. Redox Biology. 43. 101972–101972. 11 indexed citations
3.
Richter, Hannes, Iskra Katic, H. Gut, & Helge Großhans. (2016). Structural basis and function of XRN2 binding by XTB domains. Nature Structural & Molecular Biology. 23(2). 164–171. 15 indexed citations
4.
Wahl, Martin, et al.. (2016). Seasonal Variations in Surface Metabolite Composition of Fucus vesiculosus and Fucus serratus from the Baltic Sea. PLoS ONE. 11(12). e0168196–e0168196. 23 indexed citations
5.
San‐Jose, Luis M., et al.. (2016). MC1R variants affect the expression of melanocortin and melanogenic genes and the association between melanocortin genes and coloration. Molecular Ecology. 26(1). 259–276. 36 indexed citations
6.
Gindro, Katia, Jean-Laurent Spring, R. Pezet, Hannes Richter, & Olivier Viret. (2015). Histological and biochemical criteria for objective and early selection of grapevine cultivars resistant to Plasmopara viticola. Julius Kühn-Institut. 45(4). 191–196. 29 indexed citations
7.
Pezet, R., Katia Gindro, Olivier Viret, & Hannes Richter. (2015). Effects of resveratrol, viniferins and pterostilbene on Plasmopara viticola zoospore mobility and disease development. Julius Kühn-Institut. 43(3). 145–145. 77 indexed citations
8.
Gindro, Katia, R. Pezet, Olivier Viret, & Hannes Richter. (2015). Development of a rapid and highly sensitive direct-PCR assay to detect a single conidium of Botrytis cinerea Pers.:Fr in vitro and quiescent forms in planta. Federal Research Centre for Cultivated Plants (Julius Kühn-Institut). 44(3). 139–142. 6 indexed citations
9.
Miki, Takashi, Hannes Richter, Stefan Rüegger, & Helge Großhans. (2014). PAXT-1 Promotes XRN2 Activity by Stabilizing It through a Conserved Domain. Molecular Cell. 53(2). 351–360. 24 indexed citations
10.
Sjöqvist, Conny, Anke Kremp, Elin Lindehoff, et al.. (2013). Effects of Grazer Presence on Genetic Structure of a Phenotypically Diverse Diatom Population. Microbial Ecology. 67(1). 83–95. 10 indexed citations
11.
12.
Paul, Carsten, Elin Lindehoff, Johanna Bergkvist, et al.. (2012). Diatom Derived Polyunsaturated Aldehydes Do Not Structure the Planktonic Microbial Community in a Mesocosm Study. Marine Drugs. 10(4). 775–792. 26 indexed citations
13.
Pradervand, Sylvain, Johann Weber, Frédéric Lemoine, et al.. (2010). Concordance among digital gene expression, microarrays, and qPCR when measuring differential expression of microRNAs. BioTechniques. 48(3). 219–222. 83 indexed citations
14.
Richter, Hannes, R. Pezet, Olivier Viret, & Katia Gindro. (2005). Characterization of 3 new partial stilbene synthase genes out of over 20 expressed in Vitis vinifera during the interaction with Plasmopara viticola. Physiological and Molecular Plant Pathology. 67(3-5). 248–260. 32 indexed citations
15.
16.
Jaunin, Françoise, et al.. (1995). Immunolocalization of glyoxysomal malate synthase from soybean cotyledons (Glycine max L). Biology of the Cell. 83(1). 93–97. 1 indexed citations
17.
Guex, Nicolas, Hugues Henry, Jean Flach, Hannes Richter, & François Widmer. (1995). Glyoxysomal malate dehydrogenase and malate synthase from soybean cotyledons (Glycine max L.): enzyme association, antibody production and cDNA cloning. Planta. 197(2). 369–75. 35 indexed citations
18.
Sandal, Niels, Kirsten Bojsen, Hannes Richter, Champa Sengupta‐Gopalan, & Kjeld A. Marcker. (1992). The nodulin 24 protein family shows similarity to a family of glycine-rich plant proteins. Plant Molecular Biology. 18(3). 607–610. 9 indexed citations
19.
Richter, Hannes, Niels Sandal, Kjeld A. Marcker, & Champa Sengupta‐Gopalan. (1991). Characterization and genomic organization of a highly expressed late nodulin gene subfamily in soybeans. Molecular and General Genetics MGG. 229(3). 445–452. 26 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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