Björn Hellman

1.8k total citations
57 papers, 1.5k citations indexed

About

Björn Hellman is a scholar working on Cancer Research, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Björn Hellman has authored 57 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cancer Research, 21 papers in Molecular Biology and 18 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Björn Hellman's work include Carcinogens and Genotoxicity Assessment (31 papers), Effects and risks of endocrine disrupting chemicals (14 papers) and DNA Repair Mechanisms (8 papers). Björn Hellman is often cited by papers focused on Carcinogens and Genotoxicity Assessment (31 papers), Effects and risks of endocrine disrupting chemicals (14 papers) and DNA Repair Mechanisms (8 papers). Björn Hellman collaborates with scholars based in Sweden, Ethiopia and United Arab Emirates. Björn Hellman's co-authors include Hamid Vaghef, Maria A. Andersson, Eva B. Brittebo, Christer Edling, Ephrem Engidawork, Leif Busk, Lennart Friis, Agneta Oskarsson, Johan Lundqvist and Elena Piras and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Water Research.

In The Last Decade

Björn Hellman

55 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Björn Hellman Sweden 23 494 437 411 246 147 57 1.5k
Vibeke Breinholt Denmark 24 291 0.6× 768 1.8× 456 1.1× 534 2.2× 169 1.1× 40 2.5k
Brian J. Dean Netherlands 22 856 1.7× 543 1.2× 397 1.0× 402 1.6× 96 0.7× 38 1.7k
João Lauro Viana de Camargo Brazil 25 362 0.7× 502 1.1× 248 0.6× 329 1.3× 128 0.9× 103 1.8k
Laurence Gamet‐Payrastre France 21 267 0.5× 811 1.9× 304 0.7× 555 2.3× 130 0.9× 41 2.1k
Madoka Nakajima Japan 18 637 1.3× 456 1.0× 336 0.8× 252 1.0× 66 0.4× 55 1.3k
Chikako Uneyama Japan 25 224 0.5× 761 1.7× 540 1.3× 142 0.6× 187 1.3× 84 1.9k
Mohamed S. Abdel‐Rahman United States 20 206 0.4× 211 0.5× 535 1.3× 198 0.8× 66 0.4× 111 1.7k
Catherine M. Gedik United Kingdom 15 816 1.7× 1.0k 2.4× 425 1.0× 227 0.9× 50 0.3× 17 1.9k
Masamichi Fukuoka Japan 24 425 0.9× 752 1.7× 277 0.7× 270 1.1× 148 1.0× 85 1.6k
Fatime Geyikoğlu Türkiye 27 259 0.5× 369 0.8× 303 0.7× 690 2.8× 240 1.6× 94 2.0k

Countries citing papers authored by Björn Hellman

Since Specialization
Citations

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

Fields of papers citing papers by Björn Hellman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Björn Hellman

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

All Works

20 of 20 papers shown
1.
Hellman, Björn, et al.. (2023). DNA integrity under alkaline conditions: An investigation of factors affecting the comet assay. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 891. 503680–503680. 6 indexed citations
2.
Söderberg, Ola, et al.. (2020). Flash-comet: Significantly improved speed and sensitivity of the comet assay through the introduction of lithium-based solutions and a more gentle lysis. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 858-860. 503240–503240. 6 indexed citations
3.
Rosenmai, Anna Kjerstine, Johan Lundqvist, Åsa Ohlsson, et al.. (2018). In vitro bioanalysis of drinking water from source to tap. Water Research. 139. 272–280. 45 indexed citations
4.
El‐Seedi, Hesham R., et al.. (2014). Antigenotoxic and antioxidant effects of the Mongolian medicinal plant Leptopyrum fumarioides (L): An in vitro study. Journal of Ethnopharmacology. 155(1). 599–606. 19 indexed citations
5.
Hellman, Björn, et al.. (2013). Effect of β-carotene on catechol-induced genotoxicity in vitro: Evidence of both enhanced and reduced DNA damage. Free Radical Research. 47(9). 692–698. 4 indexed citations
6.
7.
Hellman, Björn, et al.. (2008). Genotoxicity of plumbagin and its effects on catechol and NQNO-induced DNA damage in mouse lymphoma cells. Toxicology in Vitro. 23(2). 266–271. 39 indexed citations
8.
Engidawork, Ephrem, et al.. (2008). Potential genotoxicity of plant extracts used in Ethiopian traditional medicine. Journal of Ethnopharmacology. 122(1). 136–142. 68 indexed citations
9.
Johansson, Kristina, Sten Olsson, Björn Hellman, & Ronald H.B. Meyboom. (2007). An Analysis of Vigimed, a Global E-Mail System for the Exchange of Pharmacovigilance Information. Drug Safety. 30(10). 883–889. 8 indexed citations
10.
11.
Andersson, Maria A. & Björn Hellman. (2007). Evaluation of catechol-induced DNA damage in human lymphocytes: A comparison between freshly isolated lymphocytes and T-lymphocytes from extended-term cultures. Toxicology in Vitro. 21(4). 716–722. 10 indexed citations
12.
Andersson, Maria A., et al.. (2006). Evaluation of the potential genotoxicity of chromium picolinate in mammalian cells in vivo and in vitro. Food and Chemical Toxicology. 45(7). 1097–1106. 52 indexed citations
13.
Andersson, Maria A. & Björn Hellman. (2005). Different roles of Fpg and Endo III on catechol-induced DNA damage in extended-term cultures of human lymphocytes and L5178Y mouse lymphoma cells. Toxicology in Vitro. 19(6). 779–786. 28 indexed citations
14.
Agurell, Eva, et al.. (2003). Extended-term cultures of human T-lymphocytes: a useful combination when testing for genotoxicity in vitro?. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 540(1). 43–55. 30 indexed citations
15.
Annas, Anita, Eva B. Brittebo, & Björn Hellman. (2000). Evaluation of benzo(a)pyrene-inducedDNA damage in human endotehlial cells using alkaline single cellelectrophoresis.. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 471. 145. 21 indexed citations
16.
Hellman, Björn, Lennart Friis, Hamid Vaghef, & Christer Edling. (1999). Alkaline single cell gel electrophoresis and human biomonitoring for genotoxicity: a study on subjects with residential exposure to radon. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 442(2). 121–132. 45 indexed citations
17.
18.
Vaghef, Hamid & Björn Hellman. (1998). Detection of Styrene and Styrene Oxide‐Induced DNA Damage in Various Organs of Mice Using the Comet Assay. Pharmacology & Toxicology. 83(2). 69–74. 23 indexed citations
19.
Hellman, Björn, et al.. (1995). The concepts of tail moment and tail inertia in the single cell gel electrophoresis assay. Mutation Research/DNA Repair. 336(2). 123–131. 170 indexed citations
20.
Vaghef, Hamid & Björn Hellman. (1995). Demonstration of chlorobenzene-induced DNA damage in mouse lymphocytes using the single cell gel electrophoresis assay. Toxicology. 96(1). 19–28. 24 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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