M. Pupillo

777 citations
15 papers · 663 indexed · h-index 10
Topics
Cellular Mechanics and Interactions (9 papers)3D Printing in Biomedical Research (3 papers)Protein Kinase Regulation and GTPase Signaling (2 papers)
Partner nations
United StatesNetherlands

In The Last Decade

M. Pupillo

15 papers receiving 647 citations

Peers

M. Pupillo
Comparison fields: 5 of 78
  • Cell Biology 436
  • Molecular Biology 342
  • Biomedical Engineering 107
  • Physiology 60
  • Pharmacology 55
Replace Ben H. Leichtling with:
Ben H. Leichtling United States
Joel Schindler United States
Ellen J. Henderson United States
Anne L. Hall United States
Christopher C. Beltzner United States
René J.W. de Wit Netherlands
Eva Spitz United States
Kateryna Morozova United States
Susan Raths Switzerland
Javier Valdez Taubas Argentina
M. Pupillo relative to Ben H. Leichtling United States Ben H. Leichtling's profile →
Citations per field
00.5×1.5×2.5×
Ben H. Leichtling · 1×
Citations per year

Countries citing papers authored by M. Pupillo

Since Specialization
Citations

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

Fields of papers citing papers by M. Pupillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Pupillo

This figure shows the co-authorship network connecting the top 25 collaborators of M. Pupillo. A scholar is included among the top collaborators of M. Pupillo 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 M. Pupillo. M. Pupillo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 2
2 57
3 134
4
G protein-linked signal transduction in aggregating Dictyostelium.
1
5 205
6 94
7 8
8 16
9 12
10 4
11 17
12 23
13
[Immunological aspects of alcoholics with and without liver disease].
1
14 9
15 80

About M. Pupillo

M. Pupillo is a scholar working on Cell Biology, Biophysics and Biochemistry, having authored 15 papers that have together received 663 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (9 papers), 3D Printing in Biomedical Research (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Cell Biology (436 citations), Aging (22 citations) and Biophysics (52 citations). M. Pupillo has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Akiko Kumagai, Richard Firtel, Peter N. Devreotes, Robert E. Gundersen, Jeffrey A. Hadwiger, Richard C. Miake‐Lye, Jennifer M. Bailey, Robert W. Bryant, Geoffrey S. Pitt and Jack Y. Vanderhoek. Their work appears in journals such as Cell, 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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