R. Maci

477 citations
23 papers · 400 · h-index 12

Impact in

Papers in

R. Maci

22 papers receiving 387 citations

Peers

R. Maci
Comparison fields: 5 of 82
  • Neurology 102
  • Cellular and Molecular Neuroscience 104
  • Cell Biology 71
  • Physiology 87
  • Molecular Biology 178
Replace Gordon A. Plishker with:
Gordon A. Plishker United States
Karamjit Singh Dolt United Kingdom
Yasuhiro Itano Japan
Lilia Rodriguez Argentina
Cyril Castelbou Switzerland
Angelika B. Harbauer Germany
Petraki Munujos United States
Cristiane Benincá United Kingdom
Bernd Elger Germany
Tina C. Stummann Denmark
R. Maci relative to Gordon A. Plishker United States Gordon A. Plishker's profile →
Citations per field
00.5×1.5×2.4×
Gordon A. Plishker · 1×
Citations per year

Countries citing papers authored by R. Maci

Since Specialization
Citations

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

Fields of papers citing papers by R. Maci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200564
2 199858
3 200544
4 199937
5 200427
6 200125
7 199421
8 200619
9 199515
10
Dynamic changes in the state of actin polymerization in human alveolar cells exposed to the oxidant agent paraquat.
199613
11 199112
12 196911
13 198710
14 19889
15 19908
16 19897
17 19885
18 19894
19 19934
20 19914

About R. Maci

R. Maci is a scholar working on Molecular Biology, Cell Biology, Surgery, Cellular and Molecular Neuroscience and Neurology, having authored 23 papers that have together received 400 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (5 papers), Paraquat toxicity studies and treatments (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Environmental Toxicology and Ecotoxicology (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Pesticide and Herbicide Environmental Studies (2 papers), Genetic Neurodegenerative Diseases (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Neurology (102 citations), Cellular and Molecular Neuroscience (104 citations), Cell Biology (71 citations), Physiology (87 citations) and Molecular Biology (178 citations). R. Maci has collaborated with scholars based in Italy, Germany and Czechia. Frequent co-authors include Graziella Cappelletti, Thomas Surrey, Margherita Maggioni, Gabriella Tedeschi, Armando Negri, Marina Camatini, Severino Ronchi, Barbara Pedrotti, Simona Nonnis and Cristina L. Ronchi. Their work appears in journals such as Cell Biology International, Tissue and Cell, FEBS Letters, Bulletin of Environmental Contamination and Toxicology and Toxicology.

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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