Per Källblad

539 total citations
13 papers, 414 citations indexed

About

Per Källblad is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Per Källblad has authored 13 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Organic Chemistry and 5 papers in Computational Theory and Mathematics. Recurrent topics in Per Källblad's work include Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (4 papers) and Chemical Synthesis and Analysis (3 papers). Per Källblad is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (4 papers) and Chemical Synthesis and Analysis (3 papers). Per Källblad collaborates with scholars based in Sweden, United Kingdom and Netherlands. Per Källblad's co-authors include Philip M. Dean, Henriëtte M. G. Willems, Ricardo L. Mancera, U. Helena Danielson, Shafiq U. Ahmed, Nikolay P. Todorov, Markku Hämäläinen, John Lunec, Claire Hutton and Julian S. Northen and has published in prestigious journals such as Journal of Molecular Biology, Cancer Research and Journal of Medicinal Chemistry.

In The Last Decade

Per Källblad

13 papers receiving 401 citations

Peers

Per Källblad
Henriëtte M. G. Willems United Kingdom
Joni W. Lam United States
Mary M. Senior United States
Thomas P. Matthews United Kingdom
Danuta Zatorska United States
Jürgen Dinges United States
Corey L. Strickland United States
William M. Hewitt United States
Alessandro Padova Italy
Stéphane De Cesco Canada
Henriëtte M. G. Willems United Kingdom
Per Källblad
Citations per year, relative to Per Källblad Per Källblad (= 1×) peers Henriëtte M. G. Willems

Countries citing papers authored by Per Källblad

Since Specialization
Citations

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

Fields of papers citing papers by Per Källblad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Per Källblad

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

All Works

13 of 13 papers shown
1.
Geitmann, Matthis, Peter Brandt, Ulf Bremberg, et al.. (2023). Abstract 705: Potentiation of immunotherapy by LSD1 modulation. Cancer Research. 83(7_Supplement). 705–705. 2 indexed citations
2.
Geitmann, Matthis, Malin Jarvius, Konrad F. Koehler, et al.. (2019). Abstract 3843: LSD1 modulation by allosteric ligands. Cancer Research. 79(13_Supplement). 3843–3843. 3 indexed citations
3.
Geitmann, Matthis, et al.. (2010). Experimental Validation of a Fragment Library for Lead Discovery Using SPR Biosensor Technology. SLAS DISCOVERY. 16(1). 15–25. 25 indexed citations
4.
5.
Gossas, Thomas, Markku Hämäläinen, Per Källblad, et al.. (2008). Identification of MMP-12 Inhibitors by Using Biosensor-Based Screening of a Fragment Library. Journal of Medicinal Chemistry. 51(12). 3449–3459. 46 indexed citations
6.
Hardcastle, Ian R., Shafiq U. Ahmed, Helen Atkins, et al.. (2006). Small-Molecule Inhibitors of the MDM2-p53 Protein−Protein Interaction Based on an Isoindolinone Scaffold. Journal of Medicinal Chemistry. 49(21). 6209–6221. 117 indexed citations
7.
Hardcastle, Ian R., Shafiq U. Ahmed, Helen Atkins, et al.. (2005). Isoindolinone-based inhibitors of the MDM2–p53 protein–protein interaction. Bioorganic & Medicinal Chemistry Letters. 15(5). 1515–1520. 79 indexed citations
8.
Alberts, Ian L., et al.. (2005). Ligand Docking and Design in a Flexible Receptor Site. QSAR & Combinatorial Science. 24(4). 503–507. 10 indexed citations
9.
Mancera, Ricardo L., Per Källblad, & Nikolay P. Todorov. (2004). Ligand–protein docking using a quantum stochastic tunneling optimization method. Journal of Computational Chemistry. 25(6). 858–864. 18 indexed citations
10.
Källblad, Per & Philip M. Dean. (2004). Backbone–backbone geometry of tertiary contacts between α‐helices. Proteins Structure Function and Bioinformatics. 56(4). 693–703. 7 indexed citations
11.
Källblad, Per, et al.. (2004). Molecular modelling prediction of ligand binding site flexibility. Journal of Computer-Aided Molecular Design. 18(4). 235–250. 20 indexed citations
12.
Källblad, Per, Nikolay P. Todorov, Henriëtte M. G. Willems, & Ian L. Alberts. (2004). Receptor Flexibility in the in Silico Screening of Reagents in the S1‘ Pocket of Human Collagenase. Journal of Medicinal Chemistry. 47(11). 2761–2767. 15 indexed citations
13.
Källblad, Per & Philip M. Dean. (2003). Efficient Conformational Sampling of Local Side-chain Flexibility. Journal of Molecular Biology. 326(5). 1651–1665. 39 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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2026