Karin Hellman
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Coffee research and impacts
- Polymers and Plastics top 10%
- Conducting polymers and applications
Papers in
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- Neuroscience and Neural Engineering 4
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- Conducting polymers and applications 4
- Co-authors
- Fredrik Ek (12 shared papers)Roger Olsson (12 shared papers)Juan Antonio Carrillo (1 shared paper)Eleni Aklillu (1 shared paper)Marià Pitarque (1 shared paper)Eyasu Makonnen (1 shared paper)Leif Bertilsson (2 shared papers)Magnus Ingelman‐Sundberg (1 shared paper)
- Journals
- ACS Chemical Neuroscience (3 papers)Nature Communications (3 papers)Chemistry of Materials (1 paper)British Journal of Clinical Pharmacology (1 paper)Advanced Science (1 paper)
- Partner nations
- SwedenDenmarkSaudi Arabia
In The Last Decade
Karin Hellman
16 papers receiving 452 citations
Karin Hellman's Hit Papers
Peers
Comparison fields: 5 of 61
- Pharmacology 142
- Polymers and Plastics 85
- Cellular and Molecular Neuroscience 84
- Molecular Medicine 18
- Neurology 17
Countries citing papers authored by Karin Hellman
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
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-authors
The 25 scholars most cited alongside Karin Hellman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 144 | |
| 2 | Metabolite-induced in vivo fabrication of substrate-free organic bioelectronics Hit paper breakdown → | 2023 | 144 |
| 3 | 2016 | 26 | |
| 4 | 2023 | 22 | |
| 5 | 2013 | 19 | |
| 6 | 2022 | 19 | |
| 7 | 2018 | 18 | |
| 8 | 2020 | 17 | |
| 9 | 2014 | 14 | |
| 10 | 2021 | 12 | |
| 11 | 2024 | 11 | |
| 12 | 2024 | 9 | |
| 13 | 2003 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2019 | 3 | |
| 16 | 2025 | 1 |
About Karin Hellman
Karin Hellman is a scholar working on Cellular and Molecular Neuroscience, Polymers and Plastics, Pharmacology, Oncology and Neurology, having authored 16 papers that have together received 470 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (4 papers), Conducting polymers and applications (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Inflammatory mediators and NSAID effects (2 papers), Barrier Structure and Function Studies (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Pharmacology (142 citations), Polymers and Plastics (85 citations), Cellular and Molecular Neuroscience (84 citations), Molecular Medicine (18 citations) and Neurology (17 citations). Karin Hellman has collaborated with scholars based in Sweden, Denmark and Saudi Arabia. Frequent co-authors include Fredrik Ek, Roger Olsson, Juan Antonio Carrillo, Eleni Aklillu, Marià Pitarque, Eyasu Makonnen, Leif Bertilsson, Magnus Ingelman‐Sundberg, Martin Hjort and Peter Ekström. Their work appears in journals such as ACS Chemical Neuroscience, Nature Communications, Chemistry of Materials, British Journal of Clinical Pharmacology and Advanced Science.
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.