Mohammed Kaplan

1.3k citations
28 papers · 922 · h-index 15

Impact in

Papers in

    • Genomics and Phylogenetic Studies 4
    • Photosynthetic Processes and Mechanisms 4
    • Bacterial biofilms and quorum sensing 3
    • Bacterial Genetics and Biotechnology 9

Mohammed Kaplan

27 papers receiving 907 citations

Peers

Mohammed Kaplan
Comparison fields: 5 of 111
  • Structural Biology 112
  • Aging 45
  • Spectroscopy 246
  • Biophysics 76
  • Endocrinology 53
Replace Dmitri S. Kudryashov with:
Dmitri S. Kudryashov United States
Timothy D. Craggs United Kingdom
Toshiro Oda Japan
Vitold E. Galkin United States
David Popp Japan
Anastasia S. Politou Greece
I.T. Weber Croatia
Thorsten Mielke Germany
Khanh Huy Bui Canada
Koshin Mihashi Japan
Mohammed Kaplan relative to Dmitri S. Kudryashov United States Dmitri S. Kudryashov's profile →
Citations per field
00.5×11.2×
Dmitri S. Kudryashov · 1×
Citations per year

Countries citing papers authored by Mohammed Kaplan

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Kaplan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016145
2 2013129
3 2015120
4 201966
5 201551
6 201946
7 198446
8 201940
9 201637
10 201933
11 202031
12 202324
13 202021
14 202121
15 201517
16 202213
17 201713
18 201512
19 201910
20 198310

About Mohammed Kaplan

Mohammed Kaplan is a scholar working on Molecular Biology, Genetics, Structural Biology, Spectroscopy and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 922 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (9 papers), Advanced Electron Microscopy Techniques and Applications (6 papers), Advanced NMR Techniques and Applications (5 papers), Genomics and Phylogenetic Studies (4 papers), Solid-state spectroscopy and crystallography (4 papers), Photosynthetic Processes and Mechanisms (4 papers), Bacterial biofilms and quorum sensing (3 papers) and Boron and Carbon Nanomaterials Research (2 papers). The work is most often cited by research in Structural Biology (112 citations), Aging (45 citations), Spectroscopy (246 citations), Biophysics (76 citations) and Endocrinology (53 citations). Mohammed Kaplan has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Grant J. Jensen, Marc Baldus, Klaartje Houben, Siddarth Narasimhan, Deni Mance, Gert E. Folkers, Mark A. Daniëls, Georges Chreifi, Debnath Ghosal and Lauren Ann Metskas. Their work appears in journals such as Nature Microbiology, Angewandte Chemie International Edition, The EMBO Journal, eLife and iScience.

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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