Michael R. Eckart

32 papers receiving 2.1k citations

Peers

Michael R. Eckart
Comparison fields: 5 of 67
  • Hepatology 333
  • Genetics 504
  • Biophysics 67
  • Molecular Biology 616
  • Developmental Neuroscience 9
Replace Szecheng J. Lo with:
Szecheng J. Lo Taiwan
Anamaris M. Colberg‐Poley United States
Masato Akutsu Germany
Kirsten Jensen United Kingdom
Michael Hannus Germany
Dong-Uk Kim South Korea
J. Patrick Condreay United States
Ivan N. Shatsky Russia
Jie Na China
Falk F. R. Buettner Germany
Michael R. Eckart relative to Szecheng J. Lo Taiwan Szecheng J. Lo's profile →
Citations per field
00.5×5×10×15.9×
Szecheng J. Lo · 1×
Citations per year

Countries citing papers authored by Michael R. Eckart

Since Specialization
Citations

This map shows the geographic impact of Michael R. 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 R. 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 R. Eckart more than expected).

Fields of papers citing papers by Michael R. Eckart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010273
2 2008252
3 1993196
4 1985176
5 1993164
6 2014154
7 1986118
8 2011115
9 1985106
10 200894
11 199692
12 201484
13 201577
14 200361
15 201651
16 201736
17 201033
18 200830
19 201128
20 202122

About Michael R. Eckart

Michael R. Eckart is a scholar working on Hepatology, Genetics, Molecular Biology, Epidemiology and Oncology, having authored 33 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), Hepatitis C virus research (4 papers), Fungal and yeast genetics research (3 papers), Hepatitis B Virus Studies (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Microbial metabolism and enzyme function (1 paper), Neonatal Respiratory Health Research (1 paper) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Hepatology (333 citations), Genetics (504 citations), Biophysics (67 citations), Molecular Biology (616 citations) and Developmental Neuroscience (9 citations). Michael R. Eckart has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Lucy Shapiro, W. E. Moerner, Luis Raul Comolli, Zbigniew A. Janowicz, Rainer Roggenkamp, Jerod L. Ptacin, Grant R. Bowman, Michael Houghton, Q L Choo and Mark Selby. Their work appears in journals such as Journal of Clinical Investigation, PLoS ONE, mBio, Nucleic Acids Research and Journal of Biological Chemistry.

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.

Explore authors with similar magnitude of impact