Mika Lindvall

4.1k total citations · 1 hit paper
29 papers, 2.0k citations indexed

About

Mika Lindvall is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Mika Lindvall has authored 29 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Organic Chemistry and 7 papers in Computational Theory and Mathematics. Recurrent topics in Mika Lindvall's work include Computational Drug Discovery Methods (7 papers), Chemical Synthesis and Analysis (5 papers) and Melanoma and MAPK Pathways (5 papers). Mika Lindvall is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Chemical Synthesis and Analysis (5 papers) and Melanoma and MAPK Pathways (5 papers). Mika Lindvall collaborates with scholars based in United States, Switzerland and United Kingdom. Mika Lindvall's co-authors include Brian Clarke, James M. Woolven, Giovanna Tedesco, Ian D. Wall, Neysa Nevins, Simon F. Semus, Martha S. Head, C. Webster Andrews, Gregory L. Warren and Catherine E. Peishoff and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Mika Lindvall

29 papers receiving 1.9k citations

Hit Papers

A Critical Assessment of Docking Programs and Scoring Fun... 2005 2026 2012 2019 2005 400 800 1.2k

Peers

Mika Lindvall
Natasja Brooijmans United States
William R. Pitt United Kingdom
James M. Woolven United Kingdom
Andrew C. Good United States
Trent E. Balius United States
Oliver Korb United Kingdom
Hwangseo Park South Korea
Brian Y. Feng United States
Natasja Brooijmans United States
Mika Lindvall
Citations per year, relative to Mika Lindvall Mika Lindvall (= 1×) peers Natasja Brooijmans

Countries citing papers authored by Mika Lindvall

Since Specialization
Citations

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

Fields of papers citing papers by Mika Lindvall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mika Lindvall

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

All Works

20 of 20 papers shown
1.
Lu, Yipin, Shankara Anand, William A. Shirley, et al.. (2019). Prediction of pKa Using Machine Learning Methods with Rooted Topological Torsion Fingerprints: Application to Aliphatic Amines. Journal of Chemical Information and Modeling. 59(11). 4706–4719. 30 indexed citations
2.
Lan, Jiong, Abran Costales, Gordana Atallah, et al.. (2018). Design and synthesis of potent RSK inhibitors. Bioorganic & Medicinal Chemistry Letters. 28(19). 3197–3201. 10 indexed citations
3.
Nishiguchi, Gisele, Matthew T. Burger, Wooseok Han, et al.. (2016). Design, synthesis and structure activity relationship of potent pan-PIM kinase inhibitors derived from the pyridyl carboxamide scaffold. Bioorganic & Medicinal Chemistry Letters. 26(9). 2328–2332. 13 indexed citations
4.
Bagdanoff, Jeffrey T., Wooseok Han, Daniel Poon, et al.. (2015). Ligand efficient tetrahydro-pyrazolopyridines as inhibitors of ERK2 kinase. Bioorganic & Medicinal Chemistry Letters. 25(17). 3626–3629. 14 indexed citations
5.
Lan, Jiong, Abran Costales, Gordana Atallah, et al.. (2015). Discovery of Potent and Selective RSK Inhibitors as Biological Probes. Journal of Medicinal Chemistry. 58(17). 6766–6783. 50 indexed citations
6.
Aronchik, Ida, B.A. Appleton, Stephen E. Basham, et al.. (2014). Novel Potent and Selective Inhibitors of p90 Ribosomal S6 Kinase Reveal the Heterogeneity of RSK Function in MAPK-Driven Cancers. Molecular Cancer Research. 12(5). 803–812. 61 indexed citations
7.
Costales, Abran, Savithri Ramurthy, Jiong Lan, et al.. (2014). 2-Amino-7-substituted benzoxazole analogs as potent RSK2 inhibitors. Bioorganic & Medicinal Chemistry Letters. 24(6). 1592–1596. 24 indexed citations
8.
Kutchukian, Peter S., Anne Mai Wassermann, Mika Lindvall, et al.. (2014). Large Scale Meta-Analysis of Fragment-Based Screening Campaigns: Privileged Fragments and Complementary Technologies. SLAS DISCOVERY. 20(5). 588–596. 20 indexed citations
9.
Kutchukian, Peter S., Mika Lindvall, Michael P. Dillon, et al.. (2012). Inside the Mind of a Medicinal Chemist: The Role of Human Bias in Compound Prioritization during Drug Discovery. PLoS ONE. 7(11). e48476–e48476. 47 indexed citations
10.
Nishiguchi, Gisele, Gordana Atallah, Cornelia Bellamacina, et al.. (2011). Discovery of novel 3,5-disubstituted indole derivatives as potent inhibitors of Pim-1, Pim-2, and Pim-3 protein kinases. Bioorganic & Medicinal Chemistry Letters. 21(21). 6366–6369. 47 indexed citations
11.
Mitchell, Charlotte, Stuart P. Ballantine, Diane M. Coe, et al.. (2010). Pyrazolopyridines as potent PDE4B inhibitors: 5-Heterocycle SAR. Bioorganic & Medicinal Chemistry Letters. 20(19). 5803–5806. 34 indexed citations
12.
Hamblin, J., Stuart P. Ballantine, Anthony W. J. Cooper, et al.. (2008). Pyrazolopyridines as a novel structural class of potent and selective PDE4 inhibitors. Bioorganic & Medicinal Chemistry Letters. 18(14). 4237–4241. 59 indexed citations
13.
Shafer, Cynthia M., Mika Lindvall, Cornelia Bellamacina, et al.. (2008). 4-(1H-Indazol-5-yl)-6-phenylpyrimidin-2(1H)-one analogs as potent CDC7 inhibitors. Bioorganic & Medicinal Chemistry Letters. 18(16). 4482–4485. 26 indexed citations
14.
Parr, Nigel J., Stephen C. McKeown, Mika Lindvall, et al.. (2004). The Application of Quantitative Analytical Constructs for Chemistry Optimization, Monomer Rehearsal and Reactivity Prediction in Solid Phase Library Synthesis. Letters in Organic Chemistry. 1(1). 87–92. 6 indexed citations
15.
Lindvall, Mika. (2002). Molecular Modeling in Cysteine Protease Inhibitor Design. Current Pharmaceutical Design. 8(18). 1673–1681. 9 indexed citations
16.
Bartlett, Paul A., et al.. (2002). Antihydrophobic Solvent Effects:  An Experimental Probe for the Hydrophobic Contribution to Enzyme−Inhibitor Binding. Journal of the American Chemical Society. 124(15). 3853–3857. 11 indexed citations
17.
Lindvall, Mika & Ari M. P. Koskinen. (1999). Origins of Stereoselectivity in the Corey−Chaykovsky Reaction. Insights from Quantum Chemistry. The Journal of Organic Chemistry. 64(13). 4596–4606. 35 indexed citations
18.
Lindvall, Mika, Kari Rissanen, Juha Hakala, & Ari M. P. Koskinen. (1999). Novel γ-turn mimetics with a reinforced hydrogen bond. Tetrahedron Letters. 40(41). 7427–7430. 5 indexed citations
19.
Lindvall, Mika, Petri M. Pihko, & Ari M. P. Koskinen. (1997). The Binding Mode of Calyculin A to Protein Phosphatase-1. Journal of Biological Chemistry. 272(37). 23312–23316. 33 indexed citations
20.
Hakala, Juha, Mika Lindvall, & Ari M. P. Koskinen. (1996). Modelling constrained calcitonin gene-related peptide analogues. Protein Engineering Design and Selection. 9(2). 143–148. 2 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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