Karin Hellman

17 papers receiving 427 citations

Karin Hellman's Hit Papers

Metabolite-induced in vivo fabrication of substrate-free organic bioelectronics 2023 · 125 citations
1250+1+2Years since publication4080120

Peers

Karin Hellman
Comparison fields: 5 of 88
  • Pharmacology 102
  • Polymers and Plastics 75
  • Cellular and Molecular Neuroscience 93
  • Oncology 72
  • Neurology 17
Replace Marianna Stamou with:
Marianna Stamou United States
Sanjay N. Mandhane India
Sihem Aouabdi Saudi Arabia
Chi-Yu Lu Taiwan
James C. Bigelow United States
Sindhu Menon United States
Rohit Bisht New Zealand
Liyuan Ke China
Michela Bisaglia Italy
Karin Hellman relative to Marianna Stamou United States Marianna Stamou's profile →
Citations per field
00.5×1.5×2.4×
Marianna Stamou · 1×
Citations per year

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-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.

Border = papers with Karin Hellman Line = papers co-authored together Karin Hellman links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2003144
2
Metabolite-induced in vivo fabrication of substrate-free organic bioelectronics
Hit paper breakdown →
2023125
3 201624
4 201820
5 201319
6 202218
7 202317
8 202016
9 201413
10 202112
11 202411
12 20248
13 20036
14 20193
15 20242
16 20132
17 20251

About Karin Hellman

Karin Hellman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Biomedical Engineering and Pharmacology, having authored 17 papers that have together received 441 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (4 papers), Neuroscience and Neural Engineering (4 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Conducting polymers and applications (2 papers), Barrier Structure and Function Studies (2 papers), Receptor Mechanisms and Signaling (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Pharmacology (102 citations), Polymers and Plastics (75 citations), Cellular and Molecular Neuroscience (93 citations), Oncology (72 citations) and Neurology (17 citations). Karin Hellman has collaborated with scholars based in Sweden, Denmark and United Kingdom. Frequent co-authors include Fredrik Ek, Roger Olsson, Leif Bertilsson, Juan Antonio Carrillo, Magnus Ingelman‐Sundberg, Eyasu Makonnen, Marià Pitarque, Eleni Aklillu, Martin Hjort and Peter Ekström. Their work appears in journals such as ACS Chemical Neuroscience, Nature Communications, British Journal of Clinical Pharmacology, Oncogenesis and Chemistry of Materials.

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