D. Pascolini

466 citations
13 papers · 381 · h-index 10

Impact in

    • Lipid Membrane Structure and Behavior
    • Ion channel regulation and function
    • ATP Synthase and ATPases Research
    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • Ion Transport and Channel Regulation
    • RNA Research and Splicing

Papers in

    • Lipid Membrane Structure and Behavior 7
    • Protein Structure and Dynamics 5
    • Ion channel regulation and function 3
    • RNA Interference and Gene Delivery 2
    • Signaling Pathways in Disease 1
    • Sphingolipid Metabolism and Signaling 1
    • RNA and protein synthesis mechanisms 1

D. Pascolini

13 papers receiving 355 citations

Peers

D. Pascolini
Comparison fields: 5 of 68
  • Molecular Biology 330
  • Biochemistry 23
  • Electrochemistry 19
  • Spectroscopy 38
  • Bioengineering 11
Replace Jean Chevallier with:
Jean Chevallier France
Juan J. García-Celma Germany
Ernest Bock United States
M. G. Price United States
Jesper V. Moeller France
E. A. Dawidowicz United States
Kimio Oikawa Canada
Kerstin E. Stempel United States
Helen C. Davies United States
D. Pascolini relative to Jean Chevallier France Jean Chevallier's profile →
Citations per field
00.5×1.5×2.5×
Jean Chevallier · 1×
Citations per year

Countries citing papers authored by D. Pascolini

Since Specialization
Citations

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

Fields of papers citing papers by D. Pascolini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside D. Pascolini, 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 D. Pascolini Line = papers co-authored together D. Pascolini links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 198573
2 198560
3 199954
4 197842
5 197736
6 198226
7 199024
8 199023
9 198818
10 198813
11 19849
12 20082
13 19861

About D. Pascolini

D. Pascolini is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Atomic and Molecular Physics, and Optics, Oncology and Cell Biology, having authored 13 papers that have together received 381 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (7 papers), Protein Structure and Dynamics (5 papers), Ion channel regulation and function (3 papers), RNA Interference and Gene Delivery (2 papers), Signaling Pathways in Disease (1 paper), Sphingolipid Metabolism and Signaling (1 paper), Spectroscopy and Quantum Chemical Studies (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Molecular Biology (330 citations), Biochemistry (23 citations), Electrochemistry (19 citations), Spectroscopy (38 citations) and Bioengineering (11 citations). D. Pascolini has collaborated with scholars based in United States and Switzerland. Frequent co-authors include J. Kent Blasie, Leo G. Herbette, A. Scarpa, Stefano Massari, Wolf‐Dietrich Heyer, Jachen A. Solinger, Sidney Fleischer, Francisco J. Asturias, G. Gradenigo and Paola Veronese. Their work appears in journals such as Biophysical Journal, Biochemistry, Biochimica et Biophysica Acta (BBA) - Biomembranes, Annals of the New York Academy of Sciences and Molecular and Cellular Biology.

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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