Simone Albani

521 citations
11 papers · 198 · h-index 7

Impact in

Papers in

    • Ion channel regulation and function 3
    • Protein Structure and Dynamics 3
    • Ion Transport and Channel Regulation 2
    • SARS-CoV-2 and COVID-19 Research 3

Simone Albani

10 papers receiving 197 citations

Peers

Simone Albani
Comparison fields: 5 of 67
  • Computational Theory and Mathematics 85
  • Infectious Diseases 54
  • Molecular Biology 88
  • Organic Chemistry 30
  • Pharmacology 6
Replace Navneet Bung with:
Navneet Bung India
Juan I. Di Filippo Argentina
Kristy A. Carpenter United States
Fábio Lima Custódio Brazil
Yulong Shi China
Rupesh Agarwal United States
Jean-Pierre A. Kocher United States
Yuan Quan China
Sowmya Ramaswamy Krishnan India
Runduo Liu China
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Citations per field
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Citations per year

Countries citing papers authored by Simone Albani

Since Specialization
Citations

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

Fields of papers citing papers by Simone Albani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 202152
2 202138
3 202228
4 202228
5
A distribution semantics for probabilistic ontologies
201121
6 202115
7 20237
8 20246
9 20242
10 20231
11 20260

About Simone Albani

Simone Albani is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Organic Chemistry and Paleontology, having authored 11 papers that have together received 198 indexed citations. Recurring topics across this work include Ion channel regulation and function (3 papers), Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Ion Transport and Channel Regulation (2 papers), Galectins and Cancer Biology (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Marine Invertebrate Physiology and Ecology (1 paper). The work is most often cited by research in Computational Theory and Mathematics (85 citations), Infectious Diseases (54 citations), Molecular Biology (88 citations), Organic Chemistry (30 citations) and Pharmacology (6 citations). Simone Albani has collaborated with scholars based in Germany, Italy and France. Frequent co-authors include Giulia Rossetti, Elisa Costanzi, Paola Storici, Maria Kuzikov, Andrea Zaliani, Angelika Lampert, Evelina Lamma, Francesca Esposito, Barbara Giabbai and Anna B. Roehl. Their work appears in journals such as Molecules, Frontiers in Pharmacology, ACS Pharmacology & Translational Science, Advanced Science and International Journal of Biological Macromolecules.

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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