Mikko J. Vainio

1.1k total citations
12 papers, 851 citations indexed

About

Mikko J. Vainio is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Mikko J. Vainio has authored 12 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 5 papers in Molecular Biology and 5 papers in Materials Chemistry. Recurrent topics in Mikko J. Vainio's work include Computational Drug Discovery Methods (9 papers), Machine Learning in Materials Science (5 papers) and Analytical Chemistry and Chromatography (3 papers). Mikko J. Vainio is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Machine Learning in Materials Science (5 papers) and Analytical Chemistry and Chromatography (3 papers). Mikko J. Vainio collaborates with scholars based in Finland, Sweden and India. Mikko J. Vainio's co-authors include Mark S. Johnson, J. Santeri Puranen, Pia Vuorela, Thierry Kogej, Vesa Virtanen, Kaija H. Valkonen, Florian Raubacher, Jens Sadowski, Peter J. Greasley and Georg Schmidt and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Medicinal Chemistry and Journal of Computational Chemistry.

In The Last Decade

Mikko J. Vainio

12 papers receiving 825 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mikko J. Vainio Finland	11	403	385	164	160	157	12	851
Alexander Alex United Kingdom	16	645 1.6×	425 1.1×	229 1.4×	148 0.9×	84 0.5×	29	1.1k
V. Ragunathan India	15	527 1.3×	313 0.8×	252 1.5×	217 1.4×	98 0.6×	35	1.2k
Anna Linusson Sweden	25	598 1.5×	419 1.1×	290 1.8×	86 0.5×	322 2.1×	65	1.5k
Sebastián A. Andújar Argentina	19	410 1.0×	192 0.5×	314 1.9×	63 0.4×	149 0.9×	42	816
Florian Flachsenberg Germany	12	662 1.6×	541 1.4×	112 0.7×	293 1.8×	111 0.7×	20	1.1k
André Melo Portugal	19	384 1.0×	223 0.6×	197 1.2×	257 1.6×	58 0.4×	72	1.2k
Sourav Das India	15	519 1.3×	214 0.6×	170 1.0×	154 1.0×	47 0.3×	29	1.0k
Agnes Meyder Germany	10	432 1.1×	316 0.8×	89 0.5×	168 1.1×	76 0.5×	14	752
Grégori Gerebtzoff Switzerland	11	460 1.1×	222 0.6×	201 1.2×	109 0.7×	76 0.5×	16	1.1k
Karen Sargsyan Taiwan	12	435 1.1×	193 0.5×	137 0.8×	100 0.6×	54 0.3×	23	889

Countries citing papers authored by Mikko J. Vainio

Since Specialization

Citations

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

Fields of papers citing papers by Mikko J. Vainio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mikko J. Vainio. 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 Mikko J. Vainio. The network helps show where Mikko J. Vainio may publish in the future.

Co-authorship network of co-authors of Mikko J. Vainio

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

All Works

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12 of 12 papers shown

Hanson, Robert M., et al.. (2018). Algorithmic Analysis of Cahn–Ingold–Prelog Rules of Stereochemistry: Proposals for Revised Rules and a Guide for Machine Implementation. Journal of Chemical Information and Modeling. 58(9). 1755–1765. 14 indexed citations

Vainio, Mikko J., Thierry Kogej, Florian Raubacher, & Jens Sadowski. (2013). Scaffold Hopping by Fragment Replacement. Journal of Chemical Information and Modeling. 53(7). 1825–1835. 28 indexed citations

Kogej, Thierry, Niklas Blomberg, Peter J. Greasley, et al.. (2012). Big pharma screening collections: more of the same or unique libraries? The AstraZeneca–Bayer Pharma AG case. Drug Discovery Today. 18(19-20). 1014–1024. 47 indexed citations

Vainio, Mikko J., Thierry Kogej, & Florian Raubacher. (2012). Automated Recycling of Chemistry for Virtual Screening and Library Design. Journal of Chemical Information and Modeling. 52(7). 1777–1786. 14 indexed citations

Fallarero, Adyary, Mikko J. Vainio, Parameswaran Saravanan, et al.. (2011). Molecular Docking Guided Comparative GFA, G/PLS, SVM and ANN Models of Structurally Diverse Dual Binding Site Acetylcholinesterase Inhibitors. Molecular Informatics. 30(8). 689–706. 12 indexed citations

Puranen, J. Santeri, Mikko J. Vainio, & Mark S. Johnson. (2009). Accurate conformation‐dependent molecular electrostatic potentials for high‐throughput in silico drug discovery. Journal of Computational Chemistry. 31(8). 1722–1732. 96 indexed citations

Vainio, Mikko J., J. Santeri Puranen, & Mark S. Johnson. (2009). ShaEP: Molecular Overlay Based on Shape and Electrostatic Potential. Journal of Chemical Information and Modeling. 49(2). 492–502. 165 indexed citations

Vainio, Mikko J., Mikko Vahermo, Leena Pohjala, et al.. (2009). The Binding of Synthetic Retinoids to Lipocalin β-Lactoglobulins. Journal of Medicinal Chemistry. 53(1). 514–518. 8 indexed citations

Vainio, Mikko J., et al.. (2008). Binding of Phenolic Compounds and Their Derivatives to Bovine and Reindeer β-Lactoglobulin. Journal of Agricultural and Food Chemistry. 56(17). 7721–7729. 88 indexed citations

10.

Vainio, Mikko J. & Mark S. Johnson. (2007). Generating Conformer Ensembles Using a Multiobjective Genetic Algorithm. Journal of Chemical Information and Modeling. 47(6). 2462–2474. 331 indexed citations

11.

Siiskonen, Antti, et al.. (2006). Similarity Based Virtual Screening: A Tool for Targeted Library Design. Journal of Medicinal Chemistry. 49(7). 2353–2356. 26 indexed citations

12.

Vainio, Mikko J. & Mark S. Johnson. (2005). McQSAR: A Multiconformational Quantitative Structure−Activity Relationship Engine Driven by Genetic Algorithms. Journal of Chemical Information and Modeling. 45(6). 1953–1961. 22 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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