Michael Eckart

29 papers receiving 2.0k citations

Hit Papers

A spindle-like apparatus guides bacterial chromosome segregation 2010 · 259 citations
259201020262015202050100150200250

Peers

Michael Eckart
Comparison fields: 5 of 100
  • Hepatology 354
  • Structural Biology 47
  • Endocrinology 106
  • Genetics 544
  • Molecular Biology 1.3k
Replace Yongning He with:
Yongning He China
Eiji Morita Japan
Yoshio Yamakawa Japan
Robert C. Orchard United States
Neil M. McKern Australia
E. D. Sverdlov Russia
Emmanuelle Perret France
Benjamin Aroeti Israel
T C Elleman Australia
Colin M. Crump United Kingdom
Michael Eckart relative to Yongning He China Yongning He's profile →
Citations per field
00.5×5.3×
Yongning He · 1×
Citations per year

Countries citing papers authored by Michael Eckart

Since Specialization
Citations

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

Fields of papers citing papers by Michael Eckart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A spindle-like apparatus guides bacterial chromosome segregation
Hit paper breakdown →
2010259
2 2008251
3 1993190
4 1985162
5 1993153
6 2014138
7 2011107
8 1986102
9 199692
10 198592
11 200891
12 201479
13 201574
14 200357
15 201648
16 201032
17 201732
18 201127
19 201320
20 202120

About Michael Eckart

Michael Eckart is a scholar working on Hepatology, Endocrinology, Genetics, Molecular Biology and Virology, having authored 29 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), Hepatitis C virus research (5 papers), Bacteriophages and microbial interactions (4 papers), Fungal and yeast genetics research (4 papers), Hepatitis B Virus Studies (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Bacterial biofilms and quorum sensing (2 papers). The work is most often cited by research in Hepatology (354 citations), Structural Biology (47 citations), Endocrinology (106 citations), Genetics (544 citations) and Molecular Biology (1.3k citations). Michael Eckart has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Lucy Shapiro, W. E. Moerner, Luis R. Comolli, Rainer Roggenkamp, Zbigniew A. Janowicz, Cornelis P. Hollenberg, Jerod L. Ptacin, Grant R. Bowman, Michael Houghton and Karin Berger. Their work appears in journals such as Journal of Clinical Investigation, Nucleic Acids Research, mBio, PLoS ONE 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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