Mariam Barbot

644 citations
7 papers · 425 · h-index 7

Impact in

Papers in

    • Mitochondrial Function and Pathology 5
    • ATP Synthase and ATPases Research 4
    • Photosynthetic Processes and Mechanisms 2
    • RNA and protein synthesis mechanisms 2
    • Lipid Membrane Structure and Behavior 1

Mariam Barbot

7 papers receiving 424 citations

Peers

Mariam Barbot
Comparison fields: 5 of 71
  • Clinical Biochemistry 143
  • Structural Biology 12
  • Molecular Biology 376
  • Biophysics 19
  • Cell Biology 39
Replace Luis Daniel Cruz‐Zaragoza with:
Luis Daniel Cruz‐Zaragoza Germany
Adriana Ryčovská Slovakia
Nir Cohen Israel
Sukrut C. Kamerkar India
Jan Brix Germany
Marcel Morgenstern Germany
Daniel N. Grba United Kingdom
Christine Ott Germany
Jens Berndtsson Sweden
Dana A. Haley United States
Mariam Barbot relative to Luis Daniel Cruz‐Zaragoza Germany Luis Daniel Cruz‐Zaragoza's profile →
Citations per field
00.5×3.3×
Luis Daniel Cruz‐Zaragoza · 1×
Citations per year

Countries citing papers authored by Mariam Barbot

Since Specialization
Citations

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

Fields of papers citing papers by Mariam Barbot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mariam Barbot, 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 Mariam Barbot Line = papers co-authored together Mariam Barbot links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2020158
2 2015119
3 201780
4 201728
5 201616
6 201414
7 201410

About Mariam Barbot

Mariam Barbot is a scholar working on Molecular Biology, Infectious Diseases, Cellular and Molecular Neuroscience, Atomic and Molecular Physics, and Optics and Clinical Biochemistry, having authored 7 papers that have together received 425 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (5 papers), ATP Synthase and ATPases Research (4 papers), Photosynthetic Processes and Mechanisms (2 papers), RNA and protein synthesis mechanisms (2 papers), Metabolism and Genetic Disorders (1 paper), Lipid Membrane Structure and Behavior (1 paper), Nanopore and Nanochannel Transport Studies (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Clinical Biochemistry (143 citations), Structural Biology (12 citations), Molecular Biology (376 citations), Biophysics (19 citations) and Cell Biology (39 citations). Mariam Barbot has collaborated with scholars based in Germany and Sweden. Frequent co-authors include Michael Meinecke, Stefan Jakobs, Daniel C. Jans, Niels Denkert, Wiebke Möbius, Gudrun Heim, Michael Hoppert, Christian Schulz, Peter Rehling and Boguslawa Sadowski. Their work appears in journals such as Cell Metabolism, Journal of Structural Biology, The Journal of Cell Biology, eLife and The EMBO Journal.

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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