Martin Dragosits

2.8k citations
25 papers · 2.1k indexed · 1 hit paper · h-index 20
Topics
Fungal and yeast genetics research (11 papers)Viral Infectious Diseases and Gene Expression in Insects (7 papers)Microbial Metabolic Engineering and Bioproduction (7 papers)

In The Last Decade

Martin Dragosits

25 papers receiving 2.1k citations

Hit Papers

Adaptive laboratory evolution – principles and applicatio...20132026201720212013100200300400500

Peers

Martin Dragosits
Comparison fields: 5 of 93
  • Molecular Biology 1.8k
  • Biomedical Engineering 496
  • Genetics 315
  • Biotechnology 287
  • Cell Biology 242
Replace Brady F. Cress with:
Brady F. Cress United States
Jan A.K.W. Kiel Netherlands
Rinji Akada Japan
Hana Sychrová Czechia
Pau Ferrer Spain
Hisashi Hoshida Japan
Shuangxia Jin China
Alexandra B. Graf Austria
Mark X. Caddick United Kingdom
Paul V. Attfield Australia
Martin Dragosits relative to Brady F. Cress United States Brady F. Cress's profile →
Citations per field
00.5×2.6×
Brady F. Cress · 1×
Citations per year

Countries citing papers authored by Martin Dragosits

Since Specialization
Citations

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

Fields of papers citing papers by Martin Dragosits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Dragosits

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Dragosits. A scholar is included among the top collaborators of Martin Dragosits 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 Dragosits. Martin Dragosits 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
#WorkIndexed citations
1 32
2 10
3 31
4 25
5 15
6 112
7
Adaptive laboratory evolution – principles and applications for biotechnologybreakdown →
559
8 39
9 12
10 24
11 44
12 70
13 135
14 26
15 181
16 55
17 164
18 97
19 258
20 109

About Martin Dragosits

Martin Dragosits is a scholar working on Aging, Biotechnology and Molecular Biology, having authored 25 papers that have together received 2.1k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (11 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers) and Microbial Metabolic Engineering and Bioproduction (7 papers). The work is most often cited by research in Biotechnology (287 citations), Molecular Biology (1.8k citations) and Aging (32 citations). Martin Dragosits has collaborated with scholars based in Austria, Spain and United States. Frequent co-authors include Diethard Mattanovich, Brigitte Gasser, Alexandra B. Graf, Kristin Baumann, Pau Ferrer, Michael Maurer, Michael Sauer, Johannes Stadlmann, Friedrich Altmann and Ilias Tagkopoulos. Their work appears in journals such as Methods in enzymology on CD-ROM/Methods in enzymology, Applied Microbiology and Biotechnology and RSC Advances.

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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