Karin Hellman

552 total citations · 1 hit paper
17 papers, 404 citations indexed

About

Karin Hellman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Karin Hellman has authored 17 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Oncology. Recurrent topics in Karin Hellman's work include Drug Transport and Resistance Mechanisms (4 papers), Neuroscience and Neural Engineering (4 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). Karin Hellman is often cited by papers focused on Drug Transport and Resistance Mechanisms (4 papers), Neuroscience and Neural Engineering (4 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). Karin Hellman collaborates with scholars based in Sweden, Denmark and United States. Karin Hellman's co-authors include Roger Olsson, Fredrik Ek, Leif Bertilsson, Eleni Aklillu, Magnus Ingelman‐Sundberg, Juan Antonio Carrillo, Eyasu Makonnen, Marià Pitarque, Martin Hjort and Peter Ekström and has published in prestigious journals such as Science, Nature Communications and Chemistry of Materials.

In The Last Decade

Karin Hellman

17 papers receiving 392 citations

Hit Papers

Metabolite-induced in vivo fabrication of substrate-free ... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karin Hellman Sweden 11 108 101 87 82 74 17 404
Marianna Stamou United States 13 92 0.9× 165 1.6× 155 1.8× 51 0.6× 50 0.7× 16 635
Sihem Aouabdi Saudi Arabia 8 48 0.4× 233 2.3× 92 1.1× 87 1.1× 50 0.7× 15 449
Kagemasa Kajiwara Japan 15 51 0.5× 339 3.4× 146 1.7× 37 0.5× 39 0.5× 38 581
Liyuan Ke China 12 21 0.2× 235 2.3× 40 0.5× 123 1.5× 116 1.6× 20 535
Chi-Yu Lu Taiwan 11 19 0.2× 182 1.8× 16 0.2× 25 0.3× 23 0.3× 16 349
Mark Ginski United States 10 15 0.1× 376 3.7× 68 0.8× 24 0.3× 86 1.2× 10 765
Lucy Lin United States 12 21 0.2× 182 1.8× 63 0.7× 73 0.9× 41 0.6× 21 422
Bojing Lu China 12 15 0.1× 90 0.9× 64 0.7× 29 0.4× 26 0.4× 18 441
Baoliang Sun China 17 25 0.2× 305 3.0× 47 0.5× 101 1.2× 30 0.4× 56 689

Countries citing papers authored by Karin Hellman

Since Specialization
Citations

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

Fields of papers citing papers by Karin Hellman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karin Hellman

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

All Works

17 of 17 papers shown
1.
Yadav, Amit Singh, Karin Hellman, Peter Ekström, et al.. (2025). Injectable bioresorbable conductive hydrogels for multimodal brain tumor electroimmunotherapy. Nature Communications. 16(1). 9702–9702. 1 indexed citations
2.
Dicko, Cedric, Xenofon Strakosas, Karin Hellman, et al.. (2024). In situ assembly of an injectable cardiac stimulator. Nature Communications. 15(1). 6774–6774. 8 indexed citations
3.
Ek, Fredrik, Tobias Abrahamsson, Sebastian Bormann, et al.. (2024). In Vivo Photopolymerization: Achieving Detailed Conducting Patterns for Bioelectronics. Advanced Science. 11(48). e2408628–e2408628. 2 indexed citations
4.
Topi, Geriolda, Shakti Ranjan Satapathy, Souvik Ghatak, et al.. (2024). High Oestrogen receptor alpha expression correlates with adverse prognosis and promotes metastasis in colorectal cancer. Cell Communication and Signaling. 22(1). 198–198. 10 indexed citations
5.
Strakosas, Xenofon, Tobias Abrahamsson, Karin Hellman, et al.. (2023). Metabolite-induced in vivo fabrication of substrate-free organic bioelectronics. Science. 379(6634). 795–802. 109 indexed citations breakdown →
6.
Hjort, Martin, David Bliman, Karin Hellman, et al.. (2023). In situ assembly of bioresorbable organic bioelectronics in the brain. Nature Communications. 14(1). 4453–4453. 13 indexed citations
7.
Bliman, David, Lázaro Betancourt, Karin Hellman, et al.. (2022). Method Matters: Exploring Alkoxysulfonate-Functionalized Poly(3,4-ethylenedioxythiophene) and Its Unintentional Self-Aggregating Copolymer toward Injectable Bioelectronics. Chemistry of Materials. 34(6). 2752–2763. 17 indexed citations
8.
Dash, Pujarini, Souvik Ghatak, Geriolda Topi, et al.. (2021). High PGD2 receptor 2 levels are associated with poor prognosis in colorectal cancer patients and induce VEGF expression in colon cancer cells and migration in a zebrafish xenograft model. British Journal of Cancer. 126(4). 586–597. 11 indexed citations
9.
Satapathy, Shakti Ranjan, Geriolda Topi, Janina Osman, et al.. (2020). Tumour suppressor 15-hydroxyprostaglandin dehydrogenase induces differentiation in colon cancer via GLI1 inhibition. Oncogenesis. 9(8). 74–74. 15 indexed citations
10.
Hellman, Karin, Jörgen Ohlsson, Marcus Malo, Roger Olsson, & Fredrik Ek. (2019). Discovery of Procognitive Antipsychotics by Combining Muscarinic M1 Receptor Structure–Activity Relationship with Systems Response Profiles in Zebrafish Larvae. ACS Chemical Neuroscience. 11(2). 173–183. 3 indexed citations
11.
Hellman, Karin, Yutaka Sugihara, Melinda Rezeli, et al.. (2018). Evaluation of Drug Exposure and Metabolism in Locust and Zebrafish Brains Using Mass Spectrometry Imaging. ACS Chemical Neuroscience. 9(8). 1994–2000. 18 indexed citations
12.
Hellman, Karin, Peter Aadal Nielsen, Fredrik Ek, & Roger Olsson. (2016). An ex Vivo Model for Evaluating Blood–Brain Barrier Permeability, Efflux, and Drug Metabolism. ACS Chemical Neuroscience. 7(5). 668–680. 22 indexed citations
13.
Badisco, Liesbeth, Steen Honoré Hansen, Karin Hellman, et al.. (2014). Characterization of a novel brain barrier ex vivo insect‐based P‐glycoprotein screening model. Pharmacology Research & Perspectives. 2(4). e00050–e00050. 13 indexed citations
14.
Hansen, Steen Honoré, Karin Hellman, Gunnar Andersson, et al.. (2013). The Grasshopper: A Novel Model for Assessing Vertebrate Brain Uptake. Journal of Pharmacology and Experimental Therapeutics. 346(2). 211–218. 19 indexed citations
15.
Perry, Daniel, et al.. (2013). Diverse player experiences in the design of science games for bioinformatics learning. 104–109. 2 indexed citations
16.
Hellman, Karin, et al.. (2003). Interferon‐β treatment in patients with multiple sclerosis does not alter CYP2C19 or CYP2D6 activity. British Journal of Clinical Pharmacology. 56(3). 337–340. 5 indexed citations
17.
Aklillu, Eleni, Juan Antonio Carrillo, Eyasu Makonnen, et al.. (2003). Genetic Polymorphism of CYP1A2 in Ethiopians Affecting Induction and Expression: Characterization of Novel Haplotypes with Single-Nucleotide Polymorphisms in Intron 1. Molecular Pharmacology. 64(3). 659–669. 136 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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