Johan Åqvist

11 total papers · 651 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 Enzyme Structure and Function (3 papers), Computational Drug Discovery Methods (3 papers) and Protein Structure and Dynamics (3 papers). Johan Åqvist is often cited by papers focused on Enzyme Structure and Function (3 papers), Computational Drug Discovery Methods (3 papers) and Protein Structure and Dynamics (3 papers). Johan Åqvist collaborates with scholars based in Sweden, United States and Spain. Johan Åqvist's co-authors include Martin Almlöf, Bjørn Olav Brandsdal, Victor B. Luzhkov, Arieh Warshel, Karin Kolmodin, Jan Florián, Arne O. Smalås, Isabella Feierberg, Alexander D. Cameron and Sinisa Bjelic 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Johan Åqvist 390 126 112 79 42 9 518
Martin Almlöf 411 1.1× 170 1.3× 56 0.5× 79 1.0× 57 1.4× 9 536
Marco Scarsi 472 1.2× 237 1.9× 71 0.6× 83 1.1× 78 1.9× 11 596
Nora Semo 282 0.7× 73 0.6× 74 0.7× 73 0.9× 37 0.9× 12 607
Daniel Cappel 324 0.8× 186 1.5× 183 1.6× 82 1.0× 71 1.7× 19 572
D’Artagnan Greene 396 1.0× 163 1.3× 76 0.7× 53 0.7× 20 0.5× 14 573
Zuojun Guo 286 0.7× 106 0.8× 216 1.9× 176 2.2× 37 0.9× 9 614
Alexander S. Bayden 325 0.8× 106 0.8× 76 0.7× 76 1.0× 23 0.5× 14 467
Sara E. Nichols 480 1.2× 202 1.6× 58 0.5× 54 0.7× 29 0.7× 14 600
Koen M. Visscher 274 0.7× 75 0.6× 115 1.0× 121 1.5× 39 0.9× 10 557
Crina-Maria Ionescu 359 0.9× 91 0.7× 68 0.6× 123 1.6× 38 0.9× 18 573

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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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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