Johan Åqvist

657 total citations
9 papers, 518 citations indexed

About

Johan Åqvist is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Johan Åqvist has authored 9 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 3 papers in Materials Chemistry. Recurrent topics in Johan Åqvist's work include Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (3 papers) and Enzyme Structure and Function (3 papers). Johan Åqvist is often cited by papers focused on Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (3 papers) and Enzyme Structure and Function (3 papers). Johan Åqvist collaborates with scholars based in Sweden, Spain and United States. Johan Åqvist's co-authors include Bjørn Olav Brandsdal, Martin Almlöf, Victor B. Luzhkov, Karin Kolmodin, Jan Florián, Arieh Warshel, Arne O. Smalås, Isabella Feierberg, Alexander D. Cameron and John Marelius and has published in prestigious journals such as FEBS Letters, Biophysical Journal and British Journal of Pharmacology.

In The Last Decade

Johan Åqvist

9 papers receiving 506 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Johan Åqvist Sweden	9	390	126	112	79	42	9	518
Martin Almlöf Sweden	6	411 1.1×	170 1.3×	56 0.5×	79 1.0×	57 1.4×	9	537
Marco Scarsi Switzerland	10	475 1.2×	237 1.9×	71 0.6×	83 1.1×	78 1.9×	11	599
Daniel Cappel Germany	13	327 0.8×	188 1.5×	184 1.6×	82 1.0×	71 1.7×	19	576
Sheldon Dennis United States	9	543 1.4×	245 1.9×	95 0.8×	161 2.0×	31 0.7×	12	707
Alexander S. Bayden United States	9	328 0.8×	107 0.8×	77 0.7×	76 1.0×	23 0.5×	14	469
Fredrik Österberg Sweden	6	534 1.4×	314 2.5×	117 1.0×	94 1.2×	40 1.0×	7	711
Hans‐Peter Buchstaller Germany	14	523 1.3×	206 1.6×	226 2.0×	99 1.3×	21 0.5×	27	779
Sara E. Nichols United States	11	483 1.2×	202 1.6×	58 0.5×	54 0.7×	29 0.7×	14	603
Crina-Maria Ionescu Czechia	10	359 0.9×	91 0.7×	68 0.6×	123 1.6×	38 0.9×	18	575
Boryeu Mao United States	16	493 1.3×	197 1.6×	71 0.6×	98 1.2×	52 1.2×	26	695

Countries citing papers authored by Johan Åqvist

Since Specialization

Citations

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

Fields of papers citing papers by Johan Åqvist

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Åqvist

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

All Works

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9 of 9 papers shown

Varin, Thibault, Hugo Gutiérrez‐de‐Terán, Marián Castro, et al.. (2009). Phe369(7.38) at human 5‐HT₇receptors confers interspecies selectivity to antagonists and partial agonists. British Journal of Pharmacology. 159(5). 1069–1081. 13 indexed citations

Orrling, Kristina M., Melissa R. Marzahn, Hugo Gutiérrez‐de‐Terán, et al.. (2009). α-Substituted norstatines as the transition-state mimic in inhibitors of multiple digestive vacuole malaria aspartic proteases. Bioorganic & Medicinal Chemistry. 17(16). 5933–5949. 31 indexed citations

Almlöf, Martin, Johan Åqvist, Arne O. Smalås, & Bjørn Olav Brandsdal. (2005). Probing the Effect of Point Mutations at Protein-Protein Interfaces with Free Energy Calculations. Biophysical Journal. 90(2). 433–442. 54 indexed citations

Almlöf, Martin, Bjørn Olav Brandsdal, & Johan Åqvist. (2004). Binding affinity prediction with different force fields: Examination of the linear interaction energy method. Journal of Computational Chemistry. 25(10). 1242–1254. 120 indexed citations

Ersmark, Karolina, Isabella Feierberg, Sinisa Bjelic, et al.. (2003). C2-Symmetric inhibitors of Plasmodium falciparum plasmepsin II: synthesis and theoretical predictions. Bioorganic & Medicinal Chemistry. 11(17). 3723–3733. 41 indexed citations

Marelius, John, et al.. (2001). Computational modelling of inhibitor binding to human thrombin. European Journal of Pharmaceutical Sciences. 12(4). 441–446. 35 indexed citations

Luzhkov, Victor B. & Johan Åqvist. (2000). A computational study of ion binding and protonation states in the KcsA potassium channel. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1481(2). 360–370. 69 indexed citations

Åqvist, Johan, Karin Kolmodin, Jan Florián, & Arieh Warshel. (1999). Mechanistic alternatives in phosphate monoester hydrolysis: What conclusions can be drawn from available experimental data?. Chemistry & Biology. 6(3). R71–R80. 131 indexed citations

Feierberg, Isabella, Alexander D. Cameron, & Johan Åqvist. (1999). Energetics of the proposed rate‐determining step of the glyoxalase I reaction. FEBS Letters. 453(1-2). 90–94. 24 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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