Martin Loose

2.4k citations
33 papers · 1.6k indexed · 1 hit paper · h-index 17
Topics
Cellular transport and secretion (11 papers)Bacterial Genetics and Biotechnology (10 papers)Microtubule and mitosis dynamics (9 papers)

In The Last Decade

Martin Loose

31 papers receiving 1.6k citations

Hit Papers

Spatial Regulators for Bacterial Cell Division Self-Organ...20082026201420202008100200300400

Peers

Martin Loose
Comparison fields: 5 of 92
  • Molecular Biology 1.2k
  • Genetics 549
  • Cell Biology 477
  • Ecology 295
  • Biomedical Engineering 181
Replace Natalie A. Dye with:
Natalie A. Dye Germany
Tristan Ursell United States
Jason Pierson United States
Oleg A. Igoshin United States
Ganhui Lan United States
Tanvir R. Shaikh United States
Laura Romberg United States
Ivan V. Surovtsev United States
Călin C. Guet Austria
Akihiro Narita Japan
Martin Loose relative to Natalie A. Dye Germany Natalie A. Dye's profile →
Citations per field
00.5×1.5×2.5×
Natalie A. Dye · 1×
Citations per year

Countries citing papers authored by Martin Loose

Since Specialization
Citations

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

Fields of papers citing papers by Martin Loose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Loose

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Loose. A scholar is included among the top collaborators of Martin Loose 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 Loose. Martin Loose 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 12
2 27
3 12
4 5
5 12
6 27
7 7
8 6
9 17
10 6
11 25
12 6
13 41
14 38
15 33
16 16
17 91
18 140
19 65
20
Spatial Regulators for Bacterial Cell Division Self-Organize into Surface Waves in Vitrobreakdown →
403

About Martin Loose

Martin Loose is a scholar working on Cell Biology, Genetics and Molecular Biology, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cellular transport and secretion (11 papers), Bacterial Genetics and Biotechnology (10 papers) and Microtubule and mitosis dynamics (9 papers). The work is most often cited by research in Cell Biology (477 citations), Genetics (549 citations) and Molecular Biology (1.2k citations). Martin Loose has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Karsten Kruse, Petra Schwille, Timothy J. Mitchison, Elisabeth Fischer‐Friedrich, Jonas Ries, C. Herold, Phuong Nguyen, Christine M. Field, Aaron C. Groen and Jakob Schweizer. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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