Vittorio Limongelli

7.6k citations
84 papers · 3.8k indexed · h-index 36

Vittorio Limongelli

83 papers receiving 3.8k citations

Peers

Vittorio Limongelli
Comparison fields: 5 of 137
  • Molecular Biology 2.6k
  • Computational Theory and Mathematics 633
  • Oncology 579
  • Organic Chemistry 441
  • Materials Chemistry 414
Replace Ting Ran with:
Ting Ran China
Steven W. Muchmore United States
Chresten R. Søndergaard Ireland
Michał Rostkowski Poland
Kam Y. J. Zhang Japan
Thomas D. Meek United States
Shibasish Chowdhury India
Romelia Salomón–Ferrer United States
Asim Okur United States
David S. Cerutti United States
Vittorio Limongelli relative to Ting Ran China Ting Ran's profile →
Citations per field
00.5×10×12.6×
Ting Ran · 1×
Citations per year

Countries citing papers authored by Vittorio Limongelli

Since Specialization
Citations

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

Fields of papers citing papers by Vittorio Limongelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vittorio Limongelli

This figure shows the co-authorship network connecting the top 25 collaborators of Vittorio Limongelli. A scholar is included among the top collaborators of Vittorio Limongelli 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 Vittorio Limongelli. Vittorio Limongelli 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
#WorkIndexed citations
1 15
2 1
3 5
4 5
5 23
6 6
7 9
8 40
9 29
10 40
11 1
12 11
13 31
14 4
15 10
16 25
17 24
18 34
19 45
20 5

About Vittorio Limongelli

Vittorio Limongelli is a scholar working on Oncology, Molecular Biology and Computational Theory and Mathematics, having authored 84 papers that have together received 3.8k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (20 papers), Protein Structure and Dynamics (16 papers) and Computational Drug Discovery Methods (11 papers). The work is most often cited by research in Computational Theory and Mathematics (633 citations), Molecular Biology (2.6k citations) and Oncology (579 citations). Vittorio Limongelli has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Michele Parrinello, Ettore Novellino, Massimiliano Bonomi, Stefano Raniolo, Pratyush Tiwary, Luciana Marinelli, Matteo Salvalaglio, Francesco Saverio Di Leva, Sandro Cosconati and Stefano Fiorucci. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

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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