M. Pupillo

777 citations
17 papers · 725 · h-index 10

Impact in

    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics
  • Aging top 10%

Papers in

    • Cellular Mechanics and Interactions 11
    • Protein Kinase Regulation and GTPase Signaling 2
    • Peroxisome Proliferator-Activated Receptors 1
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Glycosylation and Glycoproteins Research 1
    • Ion channel regulation and function 1

M. Pupillo

17 papers receiving 701 citations

Peers

M. Pupillo
Comparison fields: 5 of 80
  • Cell Biology 457
  • Aging 22
  • Biophysics 60
  • Immunology and Allergy 54
  • Biochemistry 58
Replace Ben H. Leichtling with:
Ben H. Leichtling United States
Keita Sutoh Japan
Ellen J. Henderson United States
René J.W. de Wit Netherlands
S. Fabio Falsone Austria
Javier Valdez Taubas Argentina
Eva Spitz United States
Susan Raths Switzerland
Eva Loeser Germany
Emily R. Hildebrandt United States
M. Pupillo relative to Ben H. Leichtling United States Ben H. Leichtling's profile →
Citations per field
00.5×4.2×
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-authors

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

All Works

17 of 17 papers shown
#Work
1 1989217
2 1991138
3 1989104
4 198299
5 199258
6 198427
7 198817
8 198816
9 198816
10 198210
11 19898
12 19886
13 19873
14 19972
15 19892
16
[Immunological aspects of alcoholics with and without liver disease].
19821
17
G protein-linked signal transduction in aggregating Dictyostelium.
19901

About M. Pupillo

M. Pupillo is a scholar working on Cell Biology, Molecular Biology, Biomedical Engineering, Biophysics and Immunology, having authored 17 papers that have together received 725 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (11 papers), 3D Printing in Biomedical Research (4 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Glycosylation and Glycoproteins Research (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Cell Biology (457 citations), Aging (22 citations), Biophysics (60 citations), Immunology and Allergy (54 citations) and Biochemistry (58 citations). M. Pupillo has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Richard Firtel, Akiko Kumagai, Peter N. Devreotes, Robert E. Gundersen, Richard C. Miake‐Lye, Jeffrey A. Hadwiger, Robert W. Bryant, Jennifer M. Bailey, Geoffrey S. Pitt and Jack Y. Vanderhoek. Their work appears in journals such as Cold Spring Harbor Symposia on Quantitative Biology, Journal of Lipid Research, Biochemical and Biophysical Research Communications, Molecular Biology of the Cell and Cellular Immunology.

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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