M. Da Prada

8.3k total citations · 1 hit paper
142 papers, 6.7k citations indexed

About

M. Da Prada is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, M. Da Prada has authored 142 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 48 papers in Cellular and Molecular Neuroscience and 30 papers in Neurology. Recurrent topics in M. Da Prada's work include Neurotransmitter Receptor Influence on Behavior (35 papers), Parkinson's Disease Mechanisms and Treatments (27 papers) and Receptor Mechanisms and Signaling (20 papers). M. Da Prada is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (35 papers), Parkinson's Disease Mechanisms and Treatments (27 papers) and Receptor Mechanisms and Signaling (20 papers). M. Da Prada collaborates with scholars based in Switzerland, Italy and France. M. Da Prada's co-authors include G. Zürcher, A. Pletscher, Andrea M. Cesura, Giovanni B. Picotti, John Richards, H. H. Keller, W. Haefely, R. Kettler, K. Berneis and W.P. Burkard and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

M. Da Prada

142 papers receiving 6.2k citations

Hit Papers

Simultaneous radioenzymatic determination of plasma and t... 1976 2026 1992 2009 1976 250 500 750 1000

Peers

M. Da Prada
Comparison fields: 5 of 136
  • Cellular and Molecular Neuroscience 2.3k
  • Molecular Biology 2.2k
  • Physiology 929
  • Neurology 923
  • Pharmacology 737
Replace Heide Hörtnagl with:
Heide Hörtnagl Austria
A. Pletscher Switzerland
Yvette Michotte Belgium
Donald J. Jenden United States
Pekka T. Männistö Finland
Tiziana Mennini Italy
Parkhurst A. Shore United States
Theodore L. Sourkes Canada
James A. Clemens United States
Sydney Spector United States
Heide Hörtnagl Austria View profile →
Citations per field, relative to M. Da Prada
M. Da Prada · 1×
Citations per year, relative to M. Da Prada
M. Da Prada · 1×

Countries citing papers authored by M. Da Prada

Since Specialization
Citations

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

Fields of papers citing papers by M. Da Prada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Da Prada

This figure shows the co-authorship network connecting the top 25 collaborators of M. Da Prada. A scholar is included among the top collaborators of M. Da Prada 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. Da Prada. M. Da Prada 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
# Work Indexed citations
1 38
2 22
3 15
4 6
5 38
6 85
7 3
8 2
9 37
10 11
11 22
12 18
13 192
14 42
15 41
16 42
17 4
18 117
19 11
20 9

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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2026