Michael Elbaum

6.8k citations
127 papers · 5.7k · h-index 40

Impact in

Papers in

    • Advanced Electron Microscopy Techniques and Applications 30
    • Microtubule and mitosis dynamics 12
    • Cellular Mechanics and Interactions 9

Michael Elbaum

125 papers receiving 5.6k citations

Peers

Michael Elbaum
Comparison fields: 5 of 136
  • Structural Biology 477
  • Modeling and Simulation 396
  • Cell Biology 793
  • Developmental Neuroscience 152
  • Immunology and Allergy 145
Replace Daniel Branton with:
Daniel Branton United States
Daniel J. Müller Switzerland
Watt W. Webb United States
Xavier Michalet United States
Ulrich S. Schwarz Germany
Carolyn A. Larabell United States
Simon Scheuring A France
Ronald A. Milligan United States
Masakatsu Watanabe Japan
Clifford P. Brangwynne United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael Elbaum

Since Specialization
Citations

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

Fields of papers citing papers by Michael Elbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000407
2 2001240
3 1999234
4 2003229
5 2002206
6 1993197
7 2018184
8 1999169
9 1991157
10 1996142
11 1994141
12 1995127
13 2003124
14 2008123
15 2012119
16 2014113
17 2016112
18 2001109
19 201794
20 200390

About Michael Elbaum

Michael Elbaum is a scholar working on Structural Biology, Cell Biology, Molecular Biology, Modeling and Simulation and Plant Science, having authored 127 papers that have together received 5.7k indexed citations. Recurring topics across this work include Advanced Electron Microscopy Techniques and Applications (30 papers), Nuclear Structure and Function (16 papers), Microtubule and mitosis dynamics (12 papers), Cellular Mechanics and Interactions (9 papers), Bacterial Genetics and Biotechnology (8 papers), Plant Pathogenic Bacteria Studies (8 papers), nanoparticles nucleation surface interactions (6 papers) and Fractional Differential Equations Solutions (6 papers). The work is most often cited by research in Structural Biology (477 citations), Modeling and Simulation (396 citations), Cell Biology (793 citations), Developmental Neuroscience (152 citations) and Immunology and Allergy (145 citations). Michael Elbaum has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Rony Granek, Avi Caspi, S. G. Lipson, Sharon G. Wolf, Michael Schick C, Alexander D. Bershadsky, Michael S. Shtutman, Aurelie Lachish‐Zalait, Inna Grosheva and Lothar Houben. Their work appears in journals such as Biophysical Journal, Proceedings of the National Academy of Sciences, Physical Review Letters, Journal of Structural Biology and Microscopy and Microanalysis.

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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