Ines Smit

2.7k total citations · 1 hit paper
8 papers, 1.6k citations indexed

About

Ines Smit is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology. According to data from OpenAlex, Ines Smit has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Theory and Mathematics, 5 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Ines Smit's work include Computational Drug Discovery Methods (7 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Receptor Mechanisms and Signaling (2 papers). Ines Smit is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Receptor Mechanisms and Signaling (2 papers). Ines Smit collaborates with scholars based in United Kingdom, Germany and Sweden. Ines Smit's co-authors include Francis Atkinson, Mark Davies, George Papadatos, Anne Hersey, David Méndez, Michał Nowotka, Elena Cibrián–Uhalte, Prudence Mutowo, A. Patrícia Bento and John P. Overington and has published in prestigious journals such as Nucleic Acids Research, Journal of Medicinal Chemistry and PLoS Computational Biology.

In The Last Decade

Ines Smit

7 papers receiving 1.6k citations

Hit Papers

The ChEMBL database in 2017 2016 2026 2019 2022 2016 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ines Smit United Kingdom 5 1.1k 1.0k 316 261 169 8 1.6k
Elena Cibrián–Uhalte Germany 7 1.1k 1.0× 1.1k 1.1× 314 1.0× 261 1.0× 172 1.0× 9 1.8k
David Méndez Colombia 5 1.4k 1.2× 1.3k 1.3× 402 1.3× 300 1.1× 214 1.3× 10 2.1k
Prudence Mutowo United Kingdom 6 1.2k 1.0× 1.5k 1.4× 324 1.0× 278 1.1× 173 1.0× 7 2.2k
María Paula Magariños Argentina 7 1.4k 1.2× 1.4k 1.3× 398 1.3× 304 1.2× 225 1.3× 9 2.3k
Tuğba Önal-Süzek Türkiye 10 1.1k 1.0× 1.4k 1.3× 184 0.6× 267 1.0× 172 1.0× 21 2.1k
George Nicola United States 13 868 0.8× 1.1k 1.0× 255 0.8× 217 0.8× 163 1.0× 22 1.6k
G. Richard Bickerton United Kingdom 11 1.0k 0.9× 1.1k 1.0× 411 1.3× 205 0.8× 306 1.8× 12 1.8k
Ian D. Wall United Kingdom 14 1.0k 0.9× 1.4k 1.3× 280 0.9× 188 0.7× 330 2.0× 26 1.9k
Nathan Dedman United Kingdom 7 1.5k 1.3× 1.4k 1.4× 426 1.3× 335 1.3× 252 1.5× 7 2.3k

Countries citing papers authored by Ines Smit

Since Specialization
Citations

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

Fields of papers citing papers by Ines Smit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ines Smit

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

All Works

8 of 8 papers shown
1.
Hunter, Fiona, Harris Ioannidis, A. Patrícia Bento, et al.. (2025). Drug and Clinical Candidate Drug Data in ChEMBL. Journal of Medicinal Chemistry. 68(19). 19800–19827. 1 indexed citations
2.
Smit, Ines, et al.. (2024). Investigating deep-learning NLP for automating the extraction of oncology efficacy endpoints from scientific literature. Intelligence-Based Medicine. 10. 100152–100152.
3.
Smit, Ines, Avid M. Afzal, Chad H. G. Allen, et al.. (2020). Systematic Analysis of Protein Targets Associated with Adverse Events of Drugs from Clinical Trials and Postmarketing Reports. Chemical Research in Toxicology. 34(2). 365–384. 14 indexed citations
4.
Thiel, Christoph, et al.. (2018). Using quantitative systems pharmacology to evaluate the drug efficacy of COX-2 and 5-LOX inhibitors in therapeutic situations. npj Systems Biology and Applications. 4(1). 28–28. 15 indexed citations
5.
Svensson, Fredrik, Azedine Zoufir, Avid M. Afzal, et al.. (2018). Information-Derived Mechanistic Hypotheses for Structural Cardiotoxicity. Chemical Research in Toxicology. 31(11). 1119–1127. 3 indexed citations
6.
Thiel, Christoph, Hélène E. Aschmann, Vanessa Baier, et al.. (2017). A Comparative Analysis of Drug-Induced Hepatotoxicity in Clinically Relevant Situations. PLoS Computational Biology. 13(2). e1005280–e1005280. 9 indexed citations
7.
Gaulton, Anna, Anne Hersey, Michał Nowotka, et al.. (2016). The ChEMBL database in 2017. Nucleic Acids Research. 45(D1). D945–D954. 1589 indexed citations breakdown →
8.
Kohonen, Pekka, Rebecca Ceder, Ines Smit, et al.. (2014). Cancer Biology, Toxicology and Alternative Methods Development Go Hand‐in‐Hand. Basic & Clinical Pharmacology & Toxicology. 115(1). 50–58. 18 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026