Markus K. Dahlgren

8.2k total citations · 3 hit papers
17 papers, 4.9k citations indexed

About

Markus K. Dahlgren is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Markus K. Dahlgren has authored 17 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 4 papers in Materials Chemistry. Recurrent topics in Markus K. Dahlgren's work include Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (4 papers) and Machine Learning in Materials Science (2 papers). Markus K. Dahlgren is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (4 papers) and Machine Learning in Materials Science (2 papers). Markus K. Dahlgren collaborates with scholars based in United States, Sweden and Germany. Markus K. Dahlgren's co-authors include Robert Abel, Richard A. Friesner, Lingle Wang, Chuanjie Wu, Edward Harder, Wolfgang Damm, William L. Jorgensen, Goran Krilov, Joseph W. Kaus and David S. Cerutti and has published in prestigious journals such as Journal of Medicinal Chemistry, Molecules and Chemical Science.

In The Last Decade

Markus K. Dahlgren

17 papers receiving 4.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

OPLS3: A Force Field Providing Broad Coverage of Drug-like Small Molecules and Proteins

2015 2.4k citations Edward Harder, Wolfgang Damm et al. Journal of Chemical Theory and Computation profile →
OPLS4: Improving Force Field Accuracy on Challenging Regimes of Chemical Space

2021 1.1k citations Chao Lü, Chuanjie Wu et al. Journal of Chemical Theory and Computation profile →
OPLS3e: Extending Force Field Coverage for Drug-Like Small Molecules

2019 857 citations Katarina Roos, Chuanjie Wu et al. Journal of Chemical Theory and Computation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Markus K. Dahlgren United States	12	2.7k	1.3k	1.1k	564	431	17	4.9k
Robert C. Rizzo United States	30	2.7k 1.0×	1.3k 1.0×	695 0.7×	566 1.0×	415 1.0×	63	4.6k
Niu Huang China	37	3.3k 1.2×	1.8k 1.3×	808 0.8×	632 1.1×	382 0.9×	130	5.4k
Nadine Homeyer Germany	11	3.3k 1.2×	1.1k 0.8×	671 0.6×	487 0.9×	298 0.7×	18	4.9k
G. Madhavi Sastry India	16	3.1k 1.2×	1.6k 1.2×	1.1k 1.0×	380 0.7×	621 1.4×	27	5.3k
Christoph Sotriffer Germany	36	2.5k 0.9×	1.5k 1.1×	997 0.9×	564 1.0×	788 1.8×	127	4.1k
Aurélien Grosdidier Switzerland	21	3.6k 1.3×	1.5k 1.1×	1.0k 1.0×	357 0.6×	655 1.5×	23	6.6k
Oreola Donini United States	15	3.7k 1.4×	1.1k 0.8×	678 0.6×	549 1.0×	253 0.6×	33	5.5k
Samuel Genheden Sweden	30	4.1k 1.5×	2.0k 1.5×	899 0.8×	922 1.6×	412 1.0×	70	6.2k
Maria A. Miteva France	37	3.2k 1.2×	2.0k 1.5×	728 0.7×	442 0.8×	541 1.3×	129	5.2k
Diogo Santos‐Martins United States	16	2.7k 1.0×	1.1k 0.8×	1.0k 0.9×	349 0.6×	474 1.1×	30	5.0k

Countries citing papers authored by Markus K. Dahlgren

Since Specialization

Citations

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

Fields of papers citing papers by Markus K. Dahlgren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus K. Dahlgren. 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 Markus K. Dahlgren. The network helps show where Markus K. Dahlgren may publish in the future.

Co-authorship network of co-authors of Markus K. Dahlgren

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Lagiakos, H. Rachel, Éric Therrien, Mitsunori Kato, et al.. (2024). In Silico Enabled Discovery of KAI-11101, a Preclinical DLK Inhibitor for the Treatment of Neurodegenerative Disease and Neuronal Injury. Journal of Medicinal Chemistry. 68(3). 2720–2741. 4 indexed citations

Leit, Silvana, Jeremy R. Greenwood, Sayan Mondal, et al.. (2022). Potent and selective TYK2-JH1 inhibitors highly efficacious in rodent model of psoriasis. Bioorganic & Medicinal Chemistry Letters. 73. 128891–128891. 10 indexed citations

Lü, Chao, Chuanjie Wu, Delaram Ghoreishi, et al.. (2021). OPLS4: Improving Force Field Accuracy on Challenging Regimes of Chemical Space. Journal of Chemical Theory and Computation. 17(7). 4291–4300. 1074 indexed citations breakdown →

Roos, Katarina, Chuanjie Wu, Wolfgang Damm, et al.. (2019). OPLS3e: Extending Force Field Coverage for Drug-Like Small Molecules. Journal of Chemical Theory and Computation. 15(3). 1863–1874. 857 indexed citations breakdown →

Konze, Kyle D., Pieter H. Bos, Markus K. Dahlgren, et al.. (2019). Reaction-Based Enumeration, Active Learning, and Free Energy Calculations To Rapidly Explore Synthetically Tractable Chemical Space and Optimize Potency of Cyclin-Dependent Kinase 2 Inhibitors. Journal of Chemical Information and Modeling. 59(9). 3782–3793. 91 indexed citations

Steinbrecher, Thomas, Markus K. Dahlgren, Daniel Cappel, et al.. (2015). Accurate Binding Free Energy Predictions in Fragment Optimization. Journal of Chemical Information and Modeling. 55(11). 2411–2420. 107 indexed citations

Harder, Edward, Wolfgang Damm, Jon R. Maple, et al.. (2015). OPLS3: A Force Field Providing Broad Coverage of Drug-like Small Molecules and Proteins. Journal of Chemical Theory and Computation. 12(1). 281–296. 2391 indexed citations breakdown →

Sullivan, Todd J., et al.. (2014). Virtual screening reveals allosteric inhibitors of the Toxoplasma gondii thymidylate synthase–dihydrofolate reductase. Bioorganic & Medicinal Chemistry Letters. 24(4). 1232–1235. 10 indexed citations

Parker, Christopher G., Markus K. Dahlgren, Ran Tao, et al.. (2014). Illuminating HIV gp120-ligand recognition through computationally-driven optimization of antibody-recruiting molecules. Chemical Science. 5(6). 2311–2317. 19 indexed citations

10.

Dahlgren, Markus K., Patric Schyman, Julian Tirado‐Rives, & William L. Jorgensen. (2013). Characterization of Biaryl Torsional Energetics and its Treatment in OPLS All-Atom Force Fields. Journal of Chemical Information and Modeling. 53(5). 1191–1199. 89 indexed citations

11.

Ur-Rehman, Tofeeq, Anatoly Slepenkin, Anders Blomgren, et al.. (2012). Pre-clinical pharmacokinetics and anti-chlamydial activity of salicylidene acylhydrazide inhibitors of bacterial type III secretion. The Journal of Antibiotics. 65(8). 397–404. 31 indexed citations

12.

Dahlgren, Markus K., Alvaro Baeza Garcia, Alissa A. Hare, et al.. (2012). Virtual Screening and Optimization Yield Low-Nanomolar Inhibitors of the Tautomerase Activity of Plasmodium falciparum Macrophage Migration Inhibitory Factor. Journal of Medicinal Chemistry. 55(22). 10148–10159. 27 indexed citations

13.

Linusson, Anna, et al.. (2010). Statistical Molecular Design of Balanced Compound Libraries for QSAR Modeling. Current Medicinal Chemistry. 17(19). 2001–2016. 16 indexed citations

14.

Dahlgren, Markus K., et al.. (2010). Synthesis of [4-(2-Hydroxyphenyl)thiazol-2-yl]methanones as Potential Bioisosteres of Salicylidene Acylhydrazides. Molecules. 15(9). 6019–6034. 4 indexed citations

15.

Dahlgren, Markus K., et al.. (2010). Statistical molecular design of a focused salicylidene acylhydrazide library and multivariate QSAR of inhibition of type III secretion in the Gram-negative bacterium Yersinia. Bioorganic & Medicinal Chemistry. 18(7). 2686–2703. 56 indexed citations

16.

Dahlgren, Markus K., et al.. (2010). Synthesis of 2-(2-Aminopyrimidine)-2,2-difluoroethanols as Potential Bioisosters of Salicylidene Acylhydrazides. Molecules. 15(6). 4423–4438. 9 indexed citations

17.

Dahlgren, Markus K., Anna M. Kauppi, Ing‐Marie Olsson, Anna Linusson, & Mikael Elofsson. (2007). Design, Synthesis, and Multivariate Quantitative Structure−Activity Relationship of SalicylanilidesPotent Inhibitors of Type III Secretion inYersinia. Journal of Medicinal Chemistry. 50(24). 6177–6188. 60 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.

Explore authors with similar magnitude of impact