Martin Mann

2.1k citations
32 papers · 1.3k indexed · 1 hit paper · h-index 14

Martin Mann

30 papers receiving 1.3k citations

Hit Papers

IntaRNA 2.0: enhanced and customizable prediction of RNA–...4482017202620202023100200300400

Peers

Martin Mann
Comparison fields: 5 of 103
  • Cancer Research 221
  • Molecular Biology 1.0k
  • Endocrinology 64
  • Genetics 321
  • Ecology 242
Replace Anna Bertoni with:
Anna Bertoni United Kingdom
Kozo Tomita Japan
Robert Palais United States
Sebastian Will Germany
Andrey Grigoriev United States
John H. Leamon United States
Theresa L. Giesler United States
Cameron N. Gundry United States
Joshua G Vandersteen United States
Susan J. Schroeder United States
Martin Mann relative to Anna Bertoni United Kingdom Anna Bertoni's profile →
Citations per field
00.5×3.4×
Anna Bertoni · 1×
Citations per year

Countries citing papers authored by Martin Mann

Since Specialization
Citations

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

Fields of papers citing papers by Martin Mann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Martin Mann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Martin Mann Line = papers co-authored together Martin Mann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201834
2 201713
3
IntaRNA 2.0: enhanced and customizable prediction of RNA–RNA interactionsbreakdown →
2017448
4 201522
5 2014261
6 201415
7 20148
8 201432
9 201242
10 201212
11 201111
12 201111
13
Shape-based Barrier Estimation for RNAs.
20106
14 201011
15 200830
16
Techniques de Décomposition pour l'Isomorphisme de Sous-Graphe
20081
17 20057
18 200211
19 20011
20
Evaluation of butanone, carbon dioxide, and 1-octen-3-OL as attractants for mosquitoes associated with north central Florida bay and cypress swamps.
199835

About Martin Mann

Martin Mann is a scholar working on Health Informatics, Molecular Biology, Software, Nature and Landscape Conservation and Atmospheric Science, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (16 papers), Protein Structure and Dynamics (8 papers), Genomics and Phylogenetic Studies (7 papers), Enzyme Structure and Function (6 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (4 papers), Tree-ring climate responses (3 papers) and Forest ecology and management (3 papers). The work is most often cited by research in Cancer Research (221 citations), Molecular Biology (1.0k citations), Endocrinology (64 citations), Genetics (321 citations) and Ecology (242 citations). Martin Mann has collaborated with scholars based in Germany, Austria and Denmark. Frequent co-authors include Rolf Backofen, Patrick R. Wright, Wolfgang R. Hess, Jens Georg, Andreas S. Richter, Steffen C. Lott, Jörg Vogel, Kai Papenfort, Sebastian Will and Daniel L. Kline. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, BMC Bioinformatics, SoftwareX and Microbiology Spectrum.

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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