Michael Barber

191 papers receiving 7.2k citations

Michael Barber's Hit Papers

Does Party Trump Ideology? Disentangling Party and Ideology in America 2018 · 257 citations
2570+6+12Years since publication100200300400500

Peers

Michael Barber
Comparison fields: 5 of 194
  • Renewable Energy, Sustainability and the Environment 955
  • Statistical and Nonlinear Physics 615
  • Inorganic Chemistry 569
  • Communication 275
  • Molecular Biology 2.4k
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Countries citing papers authored by Michael Barber

Since Specialization
Citations

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

Fields of papers citing papers by Michael Barber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 199 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Modularity and community detection in bipartite networks
Hit paper breakdown →
2007519
2 1990448
3 1999286
4 2009283
5 1993269
6
Does Party Trump Ideology? Disentangling Party and Ideology in America
Hit paper breakdown →
2018257
7 1983209
8 1977169
9 2000167
10 1994149
11 2015146
12 1989143
13 2009136
14 1987117
15 1976102
16 198599
17 201592
18 199186
19 201683
20 201683

About Michael Barber

Michael Barber is a scholar working on Molecular Biology, Renewable Energy, Sustainability and the Environment, Political Science and International Relations, Cell Biology and Cardiology and Cardiovascular Medicine, having authored 199 papers that have together received 7.7k indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (22 papers), Metalloenzymes and iron-sulfur proteins (22 papers), Hemoglobin structure and function (19 papers), Neonatal Health and Biochemistry (17 papers), Methemoglobinemia and Tumor Lysis Syndrome (14 papers), Porphyrin Metabolism and Disorders (13 papers), Metal-Catalyzed Oxygenation Mechanisms (12 papers) and Cardiac electrophysiology and arrhythmias (11 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (955 citations), Statistical and Nonlinear Physics (615 citations), Inorganic Chemistry (569 citations), Communication (275 citations) and Molecular Biology (2.4k citations). Michael Barber has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Larry P. Solomonson, J. W. Clark, Jeremy C. Pope, Lewis M. Siegel, Robert C. Bray, Douglas P. Zipes, Thomas Scherngell, Timothy Mueller, Chris Kay and Nolan McCarty. Their work appears in journals such as Archives of Biochemistry and Biophysics, Journal of Biological Chemistry, Biochemistry, Biochemical Journal and Blood.

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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