Marcelo Nöllmann

6.1k total citations
88 papers, 4.1k citations indexed

About

Marcelo Nöllmann is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, Marcelo Nöllmann has authored 88 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 17 papers in Plant Science and 16 papers in Ecology. Recurrent topics in Marcelo Nöllmann's work include Genomics and Chromatin Dynamics (24 papers), Bacteriophages and microbial interactions (16 papers) and Bacterial Genetics and Biotechnology (16 papers). Marcelo Nöllmann is often cited by papers focused on Genomics and Chromatin Dynamics (24 papers), Bacteriophages and microbial interactions (16 papers) and Bacterial Genetics and Biotechnology (16 papers). Marcelo Nöllmann collaborates with scholars based in France, United States and United Kingdom. Marcelo Nöllmann's co-authors include Diego I. Cattoni, Jean-Bernard Fiche, Carlos Bustamante, Nicholas R. Cozzarelli, Zev Bryant, Jeff Gore, Antoine Le Gall, Alan Cooper, C. Mark Johnson and Jeremy H. Lakey and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Marcelo Nöllmann

88 papers receiving 4.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcelo Nöllmann France 34 2.9k 835 712 590 318 88 4.1k
Roman Tůma United Kingdom 37 2.3k 0.8× 520 0.6× 396 0.6× 1.2k 2.1× 271 0.9× 107 3.9k
Kay Grünewald Germany 42 2.1k 0.7× 366 0.4× 260 0.4× 512 0.9× 449 1.4× 94 5.2k
David T. F. Dryden United Kingdom 38 3.2k 1.1× 1.2k 1.4× 316 0.4× 1.1k 1.8× 156 0.5× 93 4.5k
Andreas Holzenburg United States 35 2.7k 0.9× 436 0.5× 473 0.7× 603 1.0× 75 0.2× 123 4.3k
Per A. Bullough United Kingdom 32 3.5k 1.2× 661 0.8× 396 0.6× 652 1.1× 88 0.3× 61 5.3k
Shawn Zheng United States 14 5.2k 1.8× 856 1.0× 400 0.6× 732 1.2× 155 0.5× 19 8.0k
Michael F. Schmid United States 40 3.3k 1.1× 526 0.6× 283 0.4× 860 1.5× 172 0.5× 129 5.3k
Eric C. Greene United States 43 6.8k 2.3× 1.1k 1.4× 646 0.9× 381 0.6× 541 1.7× 123 7.4k
Takanori Nakane Japan 32 6.1k 2.1× 720 0.9× 531 0.7× 611 1.0× 122 0.4× 57 8.7k
Wim J. H. Hagen Germany 35 5.7k 2.0× 706 0.8× 340 0.5× 839 1.4× 254 0.8× 57 8.5k

Countries citing papers authored by Marcelo Nöllmann

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo Nöllmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcelo Nöllmann

This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo Nöllmann. A scholar is included among the top collaborators of Marcelo Nöllmann 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 Marcelo Nöllmann. Marcelo Nöllmann 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
1.
Smokvarska, Marija, Amandine Crabos, Vincent Bayle, et al.. (2025). GEF14 acts as a specific activator of the plant osmotic signaling pathway by controlling ROP6 nanodomain formation. EMBO Reports. 26(8). 2146–2165. 1 indexed citations
2.
Fiche, Jean-Bernard, et al.. (2024). Hi-M: A Multiplex Oligopaint FISH Method to Capture Chromatin Conformations In Situ and Accompanying Open-Source Acquisition Software. Methods in molecular biology. 2784. 227–257. 1 indexed citations
3.
Islam, Salim T., Akeisha M. Belgrave, Lætitia My, et al.. (2023). Unmasking of the von Willebrand A-domain surface adhesin CglB at bacterial focal adhesions mediates myxobacterial gliding motility. Science Advances. 9(8). eabq0619–eabq0619. 16 indexed citations
4.
Messina, Olivier, et al.. (2023). 3D chromatin interactions involving Drosophila insulators are infrequent but preferential and arise before TADs and transcription. Nature Communications. 14(1). 6678–6678. 9 indexed citations
5.
Fiche, Jean-Bernard, et al.. (2022). bacto_tracker: a method for single-cell tracking of M. xanthus in dense and multispecies colonies. Open Research Europe. 2. 136–136. 2 indexed citations
6.
Fiche, Jean-Bernard, et al.. (2022). Qudi-HiM: an open-source acquisition software package for highly multiplexed sequential and combinatorial optical imaging. Open Research Europe. 2. 46–46. 3 indexed citations
7.
Götz, Markus, Olivier Messina, Sergio Espínola, Jean-Bernard Fiche, & Marcelo Nöllmann. (2022). Multiple parameters shape the 3D chromatin structure of single nuclei at the doc locus in Drosophila. Nature Communications. 13(1). 5375–5375. 11 indexed citations
8.
Fiche, Jean-Bernard, et al.. (2022). Qudi-HiM: an open-source acquisition software package for highly multiplexed sequential and combinatorial optical imaging. SHILAP Revista de lepidopterología. 2. 46–46. 7 indexed citations
9.
Bayle, Vincent, Jean-Bernard Fiche, Matthieu Pierre Platre, et al.. (2021). Single-particle tracking photoactivated localization microscopy of membrane proteins in living plant tissues. Nature Protocols. 16(3). 1600–1628. 41 indexed citations
10.
Tollis, Sylvain, Guo Fu, Jean-Bernard Fiche, et al.. (2020). G1/S transcription factors assemble in increasing numbers of discrete clusters through G1 phase. The Journal of Cell Biology. 219(9). 9 indexed citations
11.
Martinière, Alexandre, Marija Smokvarska, Stéphane Mari, et al.. (2019). Osmotic Stress Activates Two Reactive Oxygen Species Pathways with Distinct Effects on Protein Nanodomains and Diffusion. PLANT PHYSIOLOGY. 179(4). 1581–1593. 68 indexed citations
12.
Platre, Matthieu Pierre, Vincent Bayle, Laia Armengot, et al.. (2019). Developmental control of plant Rho GTPase nano-organization by the lipid phosphatidylserine. Science. 364(6435). 57–62. 164 indexed citations
13.
Martı́-Renom, Marc A., Wendy A. Bickmore, Kerstin Bystricky, et al.. (2018). Challenges and guidelines toward 4D nucleome data and model standards. Nature Genetics. 50(10). 1352–1358. 38 indexed citations
14.
Fiche, Jean-Bernard, Sara Abrahamsson, Laurent Mazenq, et al.. (2016). Astigmatic multifocus microscopy enables deep 3D super-resolved imaging. Biomedical Optics Express. 7(6). 2163–2163. 19 indexed citations
15.
Liang, Jun, Laurent Lacroix, Adrien Gamot, et al.. (2014). Chromatin Immunoprecipitation Indirect Peaks Highlight Long-Range Interactions of Insulator Proteins and Pol II Pausing. Molecular Cell. 53(4). 672–681. 80 indexed citations
16.
17.
Cattoni, Diego I., et al.. (2012). Single-molecule super-resolution imaging in bacteria. Current Opinion in Microbiology. 15(6). 758–763. 23 indexed citations
18.
Ptacin, Jerod L., Marcelo Nöllmann, Carlos Bustamante, & Nicholas R. Cozzarelli. (2006). Identification of the FtsK sequence-recognition domain. Nature Structural & Molecular Biology. 13(11). 1023–1025. 42 indexed citations
19.
Nöllmann, Marcelo, Robert J.C. Gilbert, Timothy J. Mitchell, Michele Sferrazza, & Olwyn Byron. (2004). The Role of Cholesterol in the Activity of Pneumolysin, a Bacterial Protein Toxin. Biophysical Journal. 86(5). 3141–3151. 50 indexed citations
20.

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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