Henrik Johansson

1.3k total citations
24 papers, 692 citations indexed

About

Henrik Johansson is a scholar working on Dermatology, Small Animals and Immunology and Allergy. According to data from OpenAlex, Henrik Johansson has authored 24 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Dermatology, 10 papers in Small Animals and 6 papers in Immunology and Allergy. Recurrent topics in Henrik Johansson's work include Contact Dermatitis and Allergies (20 papers), Animal testing and alternatives (10 papers) and Allergic Rhinitis and Sensitization (6 papers). Henrik Johansson is often cited by papers focused on Contact Dermatitis and Allergies (20 papers), Animal testing and alternatives (10 papers) and Allergic Rhinitis and Sensitization (6 papers). Henrik Johansson collaborates with scholars based in Sweden, United States and Germany. Henrik Johansson's co-authors include Malin Lindstedt, Carl Borrebaeck, Ann-Sofie Albrekt, Andy Forreryd, Paul Marsden, Lars Dynesius, Alireza Malehmir, Mehrdad Bastani, Monika Bauden and Daniel Ansari and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Henrik Johansson

23 papers receiving 641 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Henrik Johansson Sweden 14 347 132 129 117 81 24 692
S. K. Ng Singapore 15 298 0.9× 6 0.0× 70 0.5× 97 0.8× 194 2.4× 63 745
Nelson Guerreiro United States 16 78 0.2× 9 0.1× 36 0.3× 42 0.4× 357 4.4× 48 933
F. Nachbar Germany 5 309 0.9× 22 0.2× 11 0.1× 41 0.4× 74 0.9× 7 838
Yamada Japan 17 36 0.1× 5 0.0× 26 0.2× 51 0.4× 167 2.1× 85 1.1k
Anunchai Assawamakin Thailand 18 23 0.1× 8 0.1× 21 0.2× 4 0.0× 289 3.6× 47 748
Davies United Kingdom 8 16 0.0× 7 0.1× 24 0.2× 61 0.5× 8 0.1× 23 343
Yen‐Chen Chen Taiwan 12 38 0.1× 29 0.2× 114 1.0× 82 1.0× 29 453
Wenhui Yang China 22 8 0.0× 5 0.0× 13 0.1× 32 0.3× 726 9.0× 64 1.2k
Ning Yu China 14 201 0.6× 1 0.0× 9 0.1× 33 0.3× 199 2.5× 61 666
Vishwas Sharma India 10 13 0.0× 8 0.1× 5 0.0× 28 0.2× 84 1.0× 27 408

Countries citing papers authored by Henrik Johansson

Since Specialization
Citations

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

Fields of papers citing papers by Henrik Johansson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Henrik Johansson

This figure shows the co-authorship network connecting the top 25 collaborators of Henrik Johansson. A scholar is included among the top collaborators of Henrik Johansson 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 Henrik Johansson. Henrik Johansson 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.
2.
Corvaro, Marco, Joseph E. Henriquez, Raja S. Settivari, et al.. (2024). GARD™skin and GARD™potency: A proof-of-concept study investigating applicability domain for agrochemical formulations. Regulatory Toxicology and Pharmacology. 148. 105595–105595. 3 indexed citations
3.
Andersson, Johan, et al.. (2024). In Vitro Prediction of Skin-Sensitizing Potency Using the GARDskin Dose–Response Assay: A Simple Regression Approach. Toxics. 12(9). 626–626. 3 indexed citations
4.
Donthamsetty, Shashikiran, et al.. (2024). GARDskin dose-response assay and its application in conducting Quantitative Risk Assessment (QRA) for fragrance materials using a Next Generation Risk Assessment (NGRA) framework. Regulatory Toxicology and Pharmacology. 149. 105597–105597. 5 indexed citations
5.
Larne, Olivia, et al.. (2024). Evaluation of the applicability of GARDskin to predict skin sensitizers in extracts from medical device materials. SHILAP Revista de lepidopterología. 6. 1320367–1320367. 1 indexed citations
6.
Forreryd, Andy, et al.. (2021). Quantitative assessment of sensitizing potency using a dose–response adaptation of GARDskin. Scientific Reports. 11(1). 18904–18904. 17 indexed citations
7.
8.
Johansson, Henrik, et al.. (2019). Validation of the GARD™skin Assay for Assessment of Chemical Skin Sensitizers: Ring Trial Results of Predictive Performance and Reproducibility. Toxicological Sciences. 170(2). 374–381. 30 indexed citations
9.
Malehmir, Alireza, et al.. (2017). The potential of rotary-wing UAV-based magnetic surveys for mineral exploration: A case study from central Sweden. The Leading Edge. 36(7). 552–557. 93 indexed citations
10.
Johansson, Henrik. (2017). Evaluation of the GARD assay in a blind Cosmetics Europe study. ALTEX. 34(4). 515–523. 28 indexed citations
11.
Johansson, Henrik, et al.. (2017). Skin Sensitization: Challenging the Conventional Thinking—A Case Against 2 Out of 3 as Integrated Testing Strategy. Toxicological Sciences. 159(1). 3–5. 10 indexed citations
12.
Zeller, Kathrin S., et al.. (2017). An alternative biomarker-based approach for the prediction of proteins known to sensitize the respiratory tract. Toxicology in Vitro. 46. 155–162. 2 indexed citations
13.
Johansson, Henrik, et al.. (2016). Immune checkpoint therapy for pancreatic cancer. World Journal of Gastroenterology. 22(43). 9457–9457. 67 indexed citations
14.
Forreryd, Andy, Kathrin S. Zeller, T Lindberg, Henrik Johansson, & Malin Lindstedt. (2016). From genome-wide arrays to tailor-made biomarker readout – Progress towards routine analysis of skin sensitizing chemicals with GARD. Toxicology in Vitro. 37. 178–188. 29 indexed citations
15.
Forreryd, Andy, Henrik Johansson, Ann-Sofie Albrekt, Carl Borrebaeck, & Malin Lindstedt. (2015). Prediction of Chemical Respiratory Sensitizers Using GARD, a Novel In Vitro Assay Based on a Genomic Biomarker Signature. PLoS ONE. 10(3). e0118808–e0118808. 38 indexed citations
16.
Albrekt, Ann-Sofie, Henrik Johansson, Anna Börje, Carl Borrebaeck, & Malin Lindstedt. (2014). Skin sensitizers differentially regulate signaling pathways in MUTZ-3 cells in relation to their individual potency. BMC Pharmacology and Toxicology. 15(1). 5–5. 28 indexed citations
17.
Johansson, Henrik, et al.. (2014). Genomic Allergen Rapid Detection In-House Validation—A Proof of Concept. Toxicological Sciences. 139(2). 362–370. 29 indexed citations
18.
Johansson, Henrik, Ann-Sofie Albrekt, Carl Borrebaeck, & Malin Lindstedt. (2012). The GARD assay for assessment of chemical skin sensitizers. Toxicology in Vitro. 27(3). 1163–1169. 84 indexed citations
19.
Johansson, Henrik, Malin Lindstedt, Ann-Sofie Albrekt, & Carl Borrebaeck. (2011). A genomic biomarker signature can predict skin sensitizers using a cell-based in vitro alternative to animal tests. BMC Genomics. 12(1). 399–399. 98 indexed citations
20.
Fritzson, Peter, Peter Aronsson, Peter Bunus, et al.. (2002). The Open Source Modelica Project. 297–306. 45 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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