Pär Söderhjelm

2.7k total citations
45 papers, 2.2k citations indexed

About

Pär Söderhjelm is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Physical and Theoretical Chemistry. According to data from OpenAlex, Pär Söderhjelm has authored 45 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 26 papers in Atomic and Molecular Physics, and Optics and 9 papers in Physical and Theoretical Chemistry. Recurrent topics in Pär Söderhjelm's work include Protein Structure and Dynamics (22 papers), Spectroscopy and Quantum Chemical Studies (18 papers) and Advanced Chemical Physics Studies (13 papers). Pär Söderhjelm is often cited by papers focused on Protein Structure and Dynamics (22 papers), Spectroscopy and Quantum Chemical Studies (18 papers) and Advanced Chemical Physics Studies (13 papers). Pär Söderhjelm collaborates with scholars based in Sweden, Switzerland and Denmark. Pär Söderhjelm's co-authors include Ulf Ryde, Lihong Hu, Jacob Kongsted, Samuel Genheden, Ingemar Nilsson, Bertil Halle, Jimmy Heimdal, Gunnar Karlström, Markus Kaukonen and Paulius Mikulskis and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Pär Söderhjelm

45 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pär Söderhjelm Sweden 26 1.3k 684 464 415 289 45 2.2k
Yuqing Deng China 23 1.7k 1.3× 535 0.8× 587 1.3× 594 1.4× 280 1.0× 40 2.6k
Yixiang Cao United States 14 1.5k 1.2× 453 0.7× 597 1.3× 453 1.1× 687 2.4× 23 3.1k
Richard H. Henchman United Kingdom 30 2.3k 1.8× 1.2k 1.7× 557 1.2× 801 1.9× 421 1.5× 65 4.1k
Zhen T. Chu United States 21 1.8k 1.4× 699 1.0× 156 0.3× 446 1.1× 227 0.8× 29 2.3k
Paul Beroza United States 21 1.2k 1.0× 384 0.6× 362 0.8× 276 0.7× 267 0.9× 32 1.8k
Thomas Steinbrecher Germany 31 1.7k 1.4× 353 0.5× 436 0.9× 591 1.4× 407 1.4× 66 2.8k
Jessica M. J. Swanson United States 28 1.6k 1.2× 691 1.0× 145 0.3× 298 0.7× 184 0.6× 62 2.4k
Danilo Roccatano Germany 37 2.3k 1.8× 519 0.8× 218 0.5× 756 1.8× 495 1.7× 97 3.7k
Alfredo Di Nola Italy 35 2.4k 1.9× 952 1.4× 219 0.5× 721 1.7× 300 1.0× 133 3.8k
Mitsunori Kato United States 12 1.6k 1.3× 586 0.9× 111 0.2× 555 1.3× 289 1.0× 18 2.4k

Countries citing papers authored by Pär Söderhjelm

Since Specialization
Citations

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

Fields of papers citing papers by Pär Söderhjelm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pär Söderhjelm

This figure shows the co-authorship network connecting the top 25 collaborators of Pär Söderhjelm. A scholar is included among the top collaborators of Pär Söderhjelm 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 Pär Söderhjelm. Pär Söderhjelm 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
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Kulkarni, Mandar & Pär Söderhjelm. (2023). Free-Energy Landscape and Rate Estimation of the Aromatic Ring Flips in Basic Pancreatic Trypsin Inhibitors Using Metadynamics. Journal of Chemical Theory and Computation. 19(19). 6605–6618. 2 indexed citations
4.
Söderhjelm, Pär, et al.. (2018). The geometry of protein hydration. The Journal of Chemical Physics. 148(21). 215101–215101. 44 indexed citations
5.
Bhakat, Soumendranath, et al.. (2017). Prediction of binding poses to FXR using multi-targeted docking combined with molecular dynamics and enhanced sampling. Journal of Computer-Aided Molecular Design. 32(1). 59–73. 7 indexed citations
6.
Bhakat, Soumendranath & Pär Söderhjelm. (2016). Resolving the problem of trapped water in binding cavities: prediction of host–guest binding free energies in the SAMPL5 challenge by funnel metadynamics. Journal of Computer-Aided Molecular Design. 31(1). 119–132. 13 indexed citations
7.
Ryde, Ulf & Pär Söderhjelm. (2016). Ligand-Binding Affinity Estimates Supported by Quantum-Mechanical Methods. Chemical Reviews. 116(9). 5520–5566. 234 indexed citations
8.
Hsiao, Ya‐Wen & Pär Söderhjelm. (2014). Prediction of SAMPL4 host–guest binding affinities using funnel metadynamics. Journal of Computer-Aided Molecular Design. 28(4). 443–454. 17 indexed citations
9.
Mikulskis, Paulius, Joakim Brorsson, Samuel Genheden, et al.. (2014). Free-energy perturbation and quantum mechanical study of SAMPL4 octa-acid host–guest binding energies. Journal of Computer-Aided Molecular Design. 28(4). 375–400. 69 indexed citations
10.
Ryde, Ulf, et al.. (2014). Coupled‐Cluster Interaction Energies for 200‐Atom Host–Guest Systems. ChemPhysChem. 15(15). 3270–3281. 18 indexed citations
11.
Söderhjelm, Pär, et al.. (2014). Prediction of hydration free energies for the SAMPL4 data set with the AMOEBA polarizable force field. Journal of Computer-Aided Molecular Design. 28(3). 235–244. 15 indexed citations
12.
Genheden, Samuel, et al.. (2013). Comparison of MM/GBSA calculations based on explicit and implicit solvent simulations. Physical Chemistry Chemical Physics. 15(20). 7731–7731. 113 indexed citations
13.
Genheden, Samuel, Jacob Kongsted, Pär Söderhjelm, & Ulf Ryde. (2010). Nonpolar Solvation Free Energies of Protein−Ligand Complexes. Journal of Chemical Theory and Computation. 6(11). 3558–3568. 27 indexed citations
14.
Söderhjelm, Pär, Jacob Kongsted, Samuel Genheden, & Ulf Ryde. (2010). Estimates of ligand-binding affinities supported by quantum mechanical methods. Interdisciplinary Sciences Computational Life Sciences. 2(1). 21–37. 18 indexed citations
15.
Kongsted, Jacob, Pär Söderhjelm, & Ulf Ryde. (2009). How accurate are continuum solvation models for drug-like molecules?. Journal of Computer-Aided Molecular Design. 23(7). 395–409. 63 indexed citations
16.
Söderhjelm, Pär, Francesco Aquilante, & Ulf Ryde. (2009). Calculation of Protein−Ligand Interaction Energies by a Fragmentation Approach Combining High-Level Quantum Chemistry with Classical Many-Body Effects. The Journal of Physical Chemistry B. 113(32). 11085–11094. 49 indexed citations
17.
Söderhjelm, Pär & Ulf Ryde. (2008). Conformational dependence of charges in protein simulations. Journal of Computational Chemistry. 30(5). 750–760. 22 indexed citations
18.
Kaukonen, Markus, Pär Söderhjelm, Jimmy Heimdal, & Ulf Ryde. (2008). QM/MM−PBSA Method To Estimate Free Energies for Reactions in Proteins. The Journal of Physical Chemistry B. 112(39). 12537–12548. 48 indexed citations
19.
Söderhjelm, Pär, et al.. (2008). On the coupling of intermolecular polarization and repulsion through pseudo-potentials. Chemical Physics Letters. 468(1-3). 94–99. 3 indexed citations
20.
Söderhjelm, Pär, Jesper Wisborg Krogh, Gunnar Karlström, Ulf Ryde, & Roland Lindh. (2007). Accuracy of distributed multipoles and polarizabilities: Comparison between the LoProp and MpProp models. Journal of Computational Chemistry. 28(6). 1083–1090. 28 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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