Montserrat Bárcena

5.7k citations
51 papers · 3.7k indexed · 1 hit paper · h-index 28

Montserrat Bárcena

50 papers receiving 3.6k citations

Hit Papers

AreTomo: An integrated software package for automated mar...202220262023202420224080120

Peers

Montserrat Bárcena
Comparison fields: 5 of 127
  • Infectious Diseases 1.8k
  • Molecular Biology 1.3k
  • Animal Science and Zoology 513
  • Epidemiology 488
  • Immunology 428
Replace R. Holland Cheng with:
R. Holland Cheng United States
Stephen D. Fuller Germany
Peter B. Rosenthal United Kingdom
Ronald W.A.L. Limpens Netherlands
Mark Yeager United States
Sonja Welsch Germany
Mirko Cortese Germany
Ethan C. Settembre United States
Joel Quispe United States
Bettina Böttcher Germany
Montserrat Bárcena relative to R. Holland Cheng United States R. Holland Cheng's profile →
Citations per field
00.5×4.5×
R. Holland Cheng · 1×
Citations per year

Countries citing papers authored by Montserrat Bárcena

Since Specialization
Citations

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

Fields of papers citing papers by Montserrat Bárcena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Montserrat Bárcena

This figure shows the co-authorship network connecting the top 25 collaborators of Montserrat Bárcena. A scholar is included among the top collaborators of Montserrat Bárcena based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Montserrat Bárcena. Montserrat Bárcena is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 35
2
AreTomo: An integrated software package for automated marker-free, motion-corrected cryo-electron tomographic alignment and reconstructionbreakdown →
134
3 19
4 342
5 335
6 42
7 45
8 10
9 188
10 66
11 27
12 51
13 115
14 9
15 222
16 14
17 44
18 13
19 9
20 13

About Montserrat Bárcena

Montserrat Bárcena is a scholar working on Structural Biology, Animal Science and Zoology and Infectious Diseases, having authored 51 papers that have together received 3.7k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), Viral Infections and Immunology Research (11 papers) and Animal Virus Infections Studies (10 papers). The work is most often cited by research in Structural Biology (311 citations), Infectious Diseases (1.8k citations) and Animal Science and Zoology (513 citations). Montserrat Bárcena has collaborated with scholars based in Netherlands, Spain and United States. Frequent co-authors include Abraham J. Koster, Eric J. Snijder, Ronald W.A.L. Limpens, Georg Wolff, Jessika C. Zevenhoven-Dobbe, Anja W. M. de Jong, Charlotte E. Melia, Marjolein Kikkert, Adriaan H. de Wilde and Diede Oudshoorn. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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.

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