Martin Arnold

875 total citations
10 papers, 695 citations indexed

About

Martin Arnold is a scholar working on Molecular Biology, Epidemiology and Plant Science. According to data from OpenAlex, Martin Arnold has authored 10 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Epidemiology and 3 papers in Plant Science. Recurrent topics in Martin Arnold's work include Influenza Virus Research Studies (3 papers), Plant Pathogenic Bacteria Studies (3 papers) and RNA and protein synthesis mechanisms (3 papers). Martin Arnold is often cited by papers focused on Influenza Virus Research Studies (3 papers), Plant Pathogenic Bacteria Studies (3 papers) and RNA and protein synthesis mechanisms (3 papers). Martin Arnold collaborates with scholars based in Germany, Switzerland and Lithuania. Martin Arnold's co-authors include Urs Schneider, Jeffery L. Dangl, Thomas Debener, Peter Staeheli, Alì Mirazimi, Friedemann Weber, Jonas Klingström, Petra Zimmermann, Valentina Wagner and Ida Andersson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Martin Arnold

10 papers receiving 683 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Arnold Germany 8 269 229 198 183 166 10 695
Lesley McLain United Kingdom 16 271 1.0× 225 1.0× 198 1.0× 198 1.1× 148 0.9× 24 761
Grégory Caignard France 16 267 1.0× 404 1.8× 175 0.9× 235 1.3× 68 0.4× 35 827
Chinh Nguyen United States 13 352 1.3× 178 0.8× 179 0.9× 113 0.6× 90 0.5× 21 681
Jody K. Dybing United States 10 433 1.6× 207 0.9× 122 0.6× 177 1.0× 31 0.2× 14 626
Nathalie Castagné France 8 477 1.8× 421 1.8× 168 0.8× 66 0.4× 80 0.5× 10 812
Christian Hertig Germany 13 149 0.6× 105 0.5× 188 0.9× 66 0.4× 198 1.2× 26 603
Michelle D. Audsley Australia 15 144 0.5× 281 1.2× 133 0.7× 151 0.8× 34 0.2× 19 601
François Guiguen France 17 318 1.2× 142 0.6× 132 0.7× 130 0.7× 31 0.2× 42 672
David C. Pritlove United Kingdom 12 544 2.0× 337 1.5× 455 2.3× 172 0.9× 84 0.5× 14 966
Brian J. Kempf United States 12 79 0.3× 176 0.8× 322 1.6× 73 0.4× 88 0.5× 16 617

Countries citing papers authored by Martin Arnold

Since Specialization
Citations

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

Fields of papers citing papers by Martin Arnold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Arnold

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

All Works

10 of 10 papers shown
1.
Arnold, Martin, Daniel Wibberg, Jochen Blom, et al.. (2015). Draft Genome Sequence of Pseudomonas aeruginosa Strain WS136, a Highly Cytotoxic ExoS-Positive Wound Isolate Recovered from Pyoderma Gangrenosum. Genome Announcements. 3(4). 3 indexed citations
2.
Eichner, Anja, et al.. (2014). Marker genes for the metabolic adaptation of Pseudomonas aeruginosa to the hypoxic cystic fibrosis lung environment. International Journal of Medical Microbiology. 304(8). 1050–1061. 17 indexed citations
3.
Vorhölter, Frank‐Jörg, Martin Arnold, Daniel Wibberg, et al.. (2014). Draft Genome Sequence of Pseudomonas aeruginosa Strain WS394, a Multidrug-Resistant and Highly Cytotoxic Wound Isolate from Chronic Ulcus Cruris. Genome Announcements. 2(6). 1 indexed citations
4.
Arnold, Martin, et al.. (2011). Genomic RNAs of Borna disease virus are elongated on internal template motifs after realignment of the 3′ termini. Proceedings of the National Academy of Sciences. 108(17). 7206–7211. 19 indexed citations
5.
Wunderlich, Kerstin, Mindaugas Juozapaitis, Charlene Ranadheera, et al.. (2010). Identification of High-Affinity PB1-Derived Peptides with Enhanced Affinity to the PA Protein of Influenza A Virus Polymerase. Antimicrobial Agents and Chemotherapy. 55(2). 696–702. 46 indexed citations
6.
Wunderlich, Kerstin, Mindaugas Juozapaitis, Benjamin Mänz, et al.. (2010). Limited Compatibility of Polymerase Subunit Interactions in Influenza A and B Viruses. Journal of Biological Chemistry. 285(22). 16704–16712. 26 indexed citations
7.
Wunderlich, Kerstin, Daniel Mayer, Charlene Ranadheera, et al.. (2009). Identification of a PA-Binding Peptide with Inhibitory Activity against Influenza A and B Virus Replication. PLoS ONE. 4(10). e7517–e7517. 75 indexed citations
8.
Habjan, Matthias, Ida Andersson, Jonas Klingström, et al.. (2008). Processing of Genome 5′ Termini as a Strategy of Negative-Strand RNA Viruses to Avoid RIG-I-Dependent Interferon Induction. PLoS ONE. 3(4). e2032–e2032. 252 indexed citations
9.
10.

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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