Eni Minerali

425 citations
7 papers · 265 indexed · h-index 6
Topics
Computational Drug Discovery Methods (6 papers)Machine Learning in Materials Science (2 papers)Glycosylation and Glycoproteins Research (1 paper)
Partner nations
United StatesBrazil

In The Last Decade

Eni Minerali

7 papers receiving 261 citations

Peers

Eni Minerali
Comparison fields: 5 of 74
  • Computational Theory and Mathematics 145
  • Molecular Biology 82
  • Artificial Intelligence 63
  • Materials Chemistry 52
  • Pharmacology 34
Replace Joseph D. Romano with:
Joseph D. Romano United States
Daniel Korn United States
Gabriel Idakwo United States
Maryam Bagherian United States
Remzi Çelebi Netherlands
Zimo Yin China
Jadson Castro Gertrudes Brazil
Youngmi Yoon South Korea
Xinran Xu China
Wan Xiang Shen China
Eni Minerali relative to Joseph D. Romano United States Joseph D. Romano's profile →
Citations per field
00.5×
Joseph D. Romano · 1×
Citations per year

Countries citing papers authored by Eni Minerali

Since Specialization
Citations

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

Fields of papers citing papers by Eni Minerali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eni Minerali

This figure shows the co-authorship network connecting the top 25 collaborators of Eni Minerali. A scholar is included among the top collaborators of Eni Minerali 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 Eni Minerali. Eni Minerali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 1
2 22
3 87
4 35
5 59
6 21
7 40

About Eni Minerali

Eni Minerali is a scholar working on Computational Theory and Mathematics, Small Animals and Complementary and alternative medicine, having authored 7 papers that have together received 265 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Machine Learning in Materials Science (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Computational Theory and Mathematics (145 citations), Pharmacology (34 citations) and Health Informatics (4 citations). Eni Minerali has collaborated with scholars based in United States and Brazil. Frequent co-authors include Sean Ekins, Daniel H. Foil, Kimberley M. Zorn, Thomas R. Lane, Victor O. Gawriljuk, Ana C. Puhl, Fabio Urbina, Peter B. Madrid, Tammy M. Havener and Renuka Raman. Their work appears in journals such as ACS Sustainable Chemistry & Engineering, Chemical Research in Toxicology and Journal of Chemical Information and Modeling.

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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