Eni Minerali

425 total citations
7 papers, 265 citations indexed

About

Eni Minerali is a scholar working on Computational Theory and Mathematics, Molecular Biology and Physiology. According to data from OpenAlex, Eni Minerali has authored 7 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 3 papers in Molecular Biology and 2 papers in Physiology. Recurrent topics in Eni Minerali's work include Computational Drug Discovery Methods (6 papers), Machine Learning in Materials Science (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Eni Minerali is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Machine Learning in Materials Science (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Eni Minerali collaborates with scholars based in United States and Brazil. Eni Minerali's 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 Anthony J. Hickey and has published in prestigious journals such as ACS Sustainable Chemistry & Engineering, Chemical Research in Toxicology and Journal of Chemical Information and Modeling.

In The Last Decade

Eni Minerali

7 papers receiving 261 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Eni Minerali United States	6	145	82	63	52	34	7	265
Francisco Cedrón Spain	5	190 1.3×	146 1.8×	53 0.8×	52 1.0×	22 0.6×	18	384
Haochen Zhao China	9	255 1.8×	211 2.6×	31 0.5×	72 1.4×	38 1.1×	28	371
Yankang Jing United States	9	231 1.6×	217 2.6×	35 0.6×	82 1.6×	21 0.6×	13	476
Thierry Hanser United Kingdom	10	225 1.6×	124 1.5×	25 0.4×	68 1.3×	26 0.8×	16	341
Kristy A. Carpenter United States	7	172 1.2×	199 2.4×	28 0.4×	59 1.1×	7 0.2×	13	349
Christof H. Schwab Germany	9	279 1.9×	184 2.2×	13 0.2×	64 1.2×	46 1.4×	17	431
Joseph D. Romano United States	10	117 0.8×	126 1.5×	46 0.7×	13 0.3×	34 1.0×	26	310
Jadson Castro Gertrudes Brazil	8	213 1.5×	176 2.1×	40 0.6×	48 0.9×	29 0.9×	14	344
Sergey Sosnin Russia	12	289 2.0×	225 2.7×	39 0.6×	175 3.4×	13 0.4×	22	491
Gabriel Idakwo United States	4	133 0.9×	76 0.9×	28 0.4×	32 0.6×	14 0.4×	5	205

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

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7 of 7 papers shown

1.

Puhl, Ana C., Renuka Raman, Tammy M. Havener, et al.. (2024). Identification of New Modulators and Inhibitors of Palmitoyl-Protein Thioesterase 1 for CLN1 Batten Disease and Cancer. ACS Omega. 9(10). 11870–11882. 1 indexed citations

2.

Minerali, Eni, Thomas R. Lane, Daniel H. Foil, et al.. (2021). The Antiviral Drug Tilorone Is a Potent and Selective Inhibitor of Acetylcholinesterase. Chemical Research in Toxicology. 34(5). 1296–1307. 22 indexed citations

3.

Zorn, Kimberley M., Daniel H. Foil, Eni Minerali, et al.. (2021). Quantum Machine Learning Algorithms for Drug Discovery Applications. Journal of Chemical Information and Modeling. 61(6). 2641–2647. 87 indexed citations

4.

Minerali, Eni, Daniel H. Foil, Kimberley M. Zorn, & Sean Ekins. (2020). Evaluation of Assay Central Machine Learning Models for Rat Acute Oral Toxicity Prediction. ACS Sustainable Chemistry & Engineering. 8(42). 16020–16027. 21 indexed citations

5.

Minerali, Eni, Daniel H. Foil, Kimberley M. Zorn, Thomas R. Lane, & Sean Ekins. (2020). Comparing Machine Learning Algorithms for Predicting Drug-Induced Liver Injury (DILI). Molecular Pharmaceutics. 17(7). 2628–2637. 59 indexed citations

6.

Minerali, Eni, et al.. (2020). Machine Learning for Discovery of GSK3β Inhibitors. ACS Omega. 5(41). 26551–26561. 35 indexed citations

7.

Lane, Thomas R., Daniel H. Foil, Eni Minerali, et al.. (2020). Bioactivity Comparison across Multiple Machine Learning Algorithms Using over 5000 Datasets for Drug Discovery. Molecular Pharmaceutics. 18(1). 403–415. 40 indexed citations

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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