Anu J. Tervo

441 total citations
10 papers, 380 citations indexed

About

Anu J. Tervo is a scholar working on Molecular Biology, Geriatrics and Gerontology and Computational Theory and Mathematics. According to data from OpenAlex, Anu J. Tervo has authored 10 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Geriatrics and Gerontology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Anu J. Tervo's work include Protein Structure and Dynamics (4 papers), Sirtuins and Resveratrol in Medicine (4 papers) and Computational Drug Discovery Methods (3 papers). Anu J. Tervo is often cited by papers focused on Protein Structure and Dynamics (4 papers), Sirtuins and Resveratrol in Medicine (4 papers) and Computational Drug Discovery Methods (3 papers). Anu J. Tervo collaborates with scholars based in Finland, Sweden and Australia. Anu J. Tervo's co-authors include Antti Poso, Tommi Nyrönen, Sergiy Kyrylenko, Antero Salminen, Tomi Järvinen, Jukka Leppänen, Erkki Kuusisto, Jukka Leppänen, Tiina Suuronen and Erik A. A. Wallén and has published in prestigious journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters and Journal of Computer-Aided Molecular Design.

In The Last Decade

Anu J. Tervo

10 papers receiving 364 citations

Peers

Anu J. Tervo

MB

GG

CTM

EPIDE

OC

Jeremy S. Disch United States

Ali Nakhi India

A.A. Parent United States

Cornelia Bellamacina United States

Jianghe Deng United States

Rajendra Kristam India

Maria Fridén‐Saxin Sweden

Andreas Gollner Austria

Xiaoke Gu China

Einārs Loža Latvia

Jeremy S. Disch United States

Anu J. Tervo

134 ×0.7

MB

218 ×1.7

GG

23 ×0.2

CTM

92 ×1.5

EPIDE

121 ×2.3

OC

Citations per year, relative to Anu J. Tervo Anu J. Tervo (= 1×) peers Jeremy S. Disch

Countries citing papers authored by Anu J. Tervo

Since Specialization

Citations

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

Fields of papers citing papers by Anu J. Tervo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anu J. Tervo

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

All Works

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10 of 10 papers shown

1.

Edman, K. A. P., Mark Furber, Paul Hemsley, et al.. (2011). The Discovery of MMP7 Inhibitors Exploiting a Novel Selectivity Trigger. ChemMedChem. 6(5). 769–773. 36 indexed citations

2.

Jyrkkärinne, Johanna, Björn Windshügel, Anu J. Tervo, et al.. (2008). Insights into Ligand-Elicited Activation of Human Constitutive Androstane Receptor Based on Novel Agonists and Three-Dimensional Quantitative Structure−Activity Relationship. Journal of Medicinal Chemistry. 51(22). 7181–7192. 30 indexed citations

3.

Leppänen, Jukka, Valtteri Rinne, Tiina Suuronen, et al.. (2007). N-(3-(4-Hydroxyphenyl)-propenoyl)-amino acid tryptamides as SIRT2 inhibitors. Bioorganic & Medicinal Chemistry Letters. 17(9). 2448–2451. 42 indexed citations

4.

Tervo, Anu J., Tiina Suuronen, Sergiy Kyrylenko, et al.. (2006). Discovering Inhibitors of Human Sirtuin Type 2: Novel Structural Scaffolds. Journal of Medicinal Chemistry. 49(24). 7239–7241. 37 indexed citations

5.

Tervo, Anu J., et al.. (2006). BRUTUS: Optimization of a grid-based similarity function for rigid-body molecular superposition. II. Description and characterization. Journal of Computer-Aided Molecular Design. 20(4). 227–236. 20 indexed citations

6.

Leppänen, Jukka, Sergiy Kyrylenko, Maija Lahtela‐Kakkonen, et al.. (2006). N,N‘-Bisbenzylidenebenzene-1,4-diamines andN,N‘-Bisbenzylidenenaphthalene-1,4-diamines as Sirtuin Type 2 (SIRT2) Inhibitors. Journal of Medicinal Chemistry. 49(26). 7907–7911. 30 indexed citations

7.

Tervo, Anu J., et al.. (2005). BRUTUS: Optimization of a Grid-Based Similarity Function for Rigid-Body Molecular Superposition. 1. Alignment and Virtual Screening Applications. Journal of Medicinal Chemistry. 48(12). 4076–4086. 34 indexed citations

8.

Tervo, Anu J., et al.. (2004). Comparing the Quality and Predictiveness between 3D QSAR Models Obtained from Manual and Automated Alignment. Journal of Chemical Information and Computer Sciences. 44(3). 807–816. 33 indexed citations

9.

Tervo, Anu J., Sergiy Kyrylenko, Antero Salminen, et al.. (2004). An In Silico Approach to Discovering Novel Inhibitors of Human Sirtuin Type 2. Journal of Medicinal Chemistry. 47(25). 6292–6298. 91 indexed citations

10.

Tervo, Anu J., et al.. (2003). A structure-activity relationship study of catechol-O-methyltransferase inhibitors combining molecular docking and 3D QSAR methods. Journal of Computer-Aided Molecular Design. 17(12). 797–810. 27 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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