Johan Karlsson

580 total citations
19 papers, 382 citations indexed

About

Johan Karlsson is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Biophysics. According to data from OpenAlex, Johan Karlsson has authored 19 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 4 papers in Molecular Biology and 4 papers in Biophysics. Recurrent topics in Johan Karlsson's work include Advancements in Photolithography Techniques (6 papers), Cell Image Analysis Techniques (4 papers) and Platelet Disorders and Treatments (3 papers). Johan Karlsson is often cited by papers focused on Advancements in Photolithography Techniques (6 papers), Cell Image Analysis Techniques (4 papers) and Platelet Disorders and Treatments (3 papers). Johan Karlsson collaborates with scholars based in Sweden, Denmark and United Kingdom. Johan Karlsson's co-authors include Annick Seithel, Constanze Hilgendorf, Anna‐Lena Ungell, Carolina Wählby, Gert Bolt, L. Thim, Brian Vandahl, Thomas N. Krogh, Niels Kristian Klausen and Peder Lisby Nørby and has published in prestigious journals such as Nature Communications, Blood and Frontiers in Pharmacology.

In The Last Decade

Johan Karlsson

15 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johan Karlsson Sweden 8 115 102 86 48 45 19 382
Yash Gandhi United States 9 124 1.1× 66 0.6× 19 0.2× 41 0.9× 42 0.9× 26 329
Yali Liang United States 13 185 1.6× 335 3.3× 27 0.3× 26 0.5× 15 0.3× 41 643
Richard Zang United States 7 104 0.9× 161 1.6× 13 0.2× 27 0.6× 72 1.6× 10 424
Gurmeet Kaur India 10 88 0.8× 184 1.8× 52 0.6× 15 0.3× 21 0.5× 33 605
Natalia Khuri United States 11 236 2.1× 312 3.1× 7 0.1× 121 2.5× 89 2.0× 32 685
Beth Williamson United Kingdom 13 229 2.0× 310 3.0× 48 0.6× 66 1.4× 165 3.7× 25 685
Nenad Sarapa United States 22 358 3.1× 527 5.2× 43 0.5× 29 0.6× 84 1.9× 48 1.4k
Alice Tsai United States 8 71 0.6× 167 1.6× 9 0.1× 38 0.8× 62 1.4× 11 464
Natesh Singh France 10 112 1.0× 371 3.6× 45 0.5× 6 0.1× 150 3.3× 16 582
Naiem T. Issa United States 11 74 0.6× 323 3.2× 10 0.1× 12 0.3× 194 4.3× 49 749

Countries citing papers authored by Johan Karlsson

Since Specialization
Citations

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

Fields of papers citing papers by Johan Karlsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Karlsson

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

All Works

19 of 19 papers shown
1.
Lardeau, Charles-Hugues, Johan Karlsson, Riku Turkki, et al.. (2024). Cell Painting-based bioactivity prediction boosts high-throughput screening hit-rates and compound diversity. Nature Communications. 15(1). 3470–3470. 8 indexed citations
2.
Edstedt, Johan, et al.. (2022). VidHarm: A Clip Based Dataset for Harmful Content Detection. 2022 26th International Conference on Pattern Recognition (ICPR). 1543–1549.
3.
Harrison, Philip J., Håkan Wieslander, Alan Sabirsh, et al.. (2021). Deep-Learning Models for Lipid Nanoparticle-Based Drug Delivery. Nanomedicine. 16(13). 1097–1110. 33 indexed citations
4.
Wieslander, Håkan, Philip J. Harrison, Gabriel Skogberg, et al.. (2020). Deep Learning With Conformal Prediction for Hierarchical Analysis of Large-Scale Whole-Slide Tissue Images. IEEE Journal of Biomedical and Health Informatics. 25(2). 371–380. 22 indexed citations
5.
Arús‐Pous, Josep, Johan Karlsson, Ola Engkvist, et al.. (2019). Applications of Deep-Learning in Exploiting Large-Scale and Heterogeneous Compound Data in Industrial Pharmaceutical Research. Frontiers in Pharmacology. 10. 1303–1303. 34 indexed citations
6.
Evertsson, Emma, Hans Lönn, Helena Käck, et al.. (2019). An Angle on MK2 Inhibition—Optimization and Evaluation of Prevention of Activation Inhibitors. ChemMedChem. 14(19). 1701–1709. 4 indexed citations
7.
Karlsson, Johan, et al.. (2019). Adapting the Secretary Hiring Problem for Optimal Hot-Cold Tier Placement Under Top-K Workloads. 576–583. 5 indexed citations
8.
Karlsson, Johan, et al.. (2017). Spheroid Segmentation Using Multiscale Deep Adversarial Networks. 36–41. 12 indexed citations
9.
Hansen, Ernst Broberg, Johan H. Faber, Johan Karlsson, et al.. (2016). Molecular design and downstream processing of turoctocog alfa (NovoEight), a B-domain truncated factor VIII molecule. Blood Coagulation & Fibrinolysis. 27(5). 568–575. 12 indexed citations
10.
Kjalke, Marianne, Ditte M. Karpf, Ida Hilden, et al.. (2011). High Affinity Binding of FVIII to VWF Is Not Required for the Haemostatic Effect of FVIII In Vivo. Blood. 118(21). 1182–1182. 2 indexed citations
11.
Thim, L., Brian Vandahl, Johan Karlsson, et al.. (2009). Purification and characterization of a new recombinant factor VIII (N8). Haemophilia. 16(2). 349–359. 90 indexed citations
12.
Seithel, Annick, et al.. (2006). Variability in mRNA expression of ABC- and SLC-transporters in human intestinal cells: Comparison between human segments and Caco-2 cells. European Journal of Pharmaceutical Sciences. 28(4). 291–299. 148 indexed citations
13.
Xing, Kezhao, et al.. (2005). High performance FEP-171 resist process in combination with NTAR7 and NTAR5 chrome and the Sigma7300 DUV mask writer. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5853. 31–31. 1 indexed citations
14.
Xing, Kezhao, et al.. (2005). Managing effects in CD control from PED and PEB in advanced DUV photomask manufacturing using FEP-171 resist. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5753. 1119–1119. 1 indexed citations
15.
Karlsson, Johan, et al.. (2004). FEP-171 resist thickness optimization and dry etch screening on NTAR7 chrome substrates for Sigma7300 DUV laser pattern generator. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5567. 234–234. 1 indexed citations
16.
Askebjer, P., et al.. (2004). Influence of writing strategy on CD control for the spatial-light-modulator-based Sigma7300 DUV laser pattern generator. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5376. 879–879. 1 indexed citations
17.
Karawajczyk, A., et al.. (2003). Properties of a 248-nm DUV laser mask pattern generator for the 90-nm and 65-nm technology nodes. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5256. 684–684. 5 indexed citations
18.
Karlsson, Johan, et al.. (2003). Resist process optimization for a DUV laser pattern generator. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5256. 355–355. 2 indexed citations
19.
Dovner, P. O., et al.. (2002). Hybrid neural network pattern recognition system for satellite measurements. 1. 195–199. 1 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