Heike Marxfeld

575 total citations
20 papers, 315 citations indexed

About

Heike Marxfeld is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Heike Marxfeld has authored 20 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Immunology. Recurrent topics in Heike Marxfeld's work include Immunotoxicology and immune responses (4 papers), Animal testing and alternatives (3 papers) and Virus-based gene therapy research (2 papers). Heike Marxfeld is often cited by papers focused on Immunotoxicology and immune responses (4 papers), Animal testing and alternatives (3 papers) and Virus-based gene therapy research (2 papers). Heike Marxfeld collaborates with scholars based in Germany, United States and United Kingdom. Heike Marxfeld's co-authors include Ronnie Chamanza, Stuart W. Naylor, Alys Bradley, Bennard van Ravenzwaay, Sibylle Gröters, Karin Küttler, Roland Buesen, Silke Treumann, Dawn G. Goodman and Luc Chouinard and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food and Chemical Toxicology and Toxicology.

In The Last Decade

Heike Marxfeld

19 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heike Marxfeld Germany 8 112 50 47 42 41 20 315
Shen-Jue Chen United States 9 93 0.8× 26 0.5× 36 0.8× 22 0.5× 16 0.4× 14 254
Gail Pearse United Kingdom 7 100 0.9× 132 2.6× 46 1.0× 26 0.6× 44 1.1× 10 431
Keith M. Goldstein United States 10 154 1.4× 28 0.6× 46 1.0× 27 0.6× 27 0.7× 14 308
Yongan Ye China 10 193 1.7× 63 1.3× 67 1.4× 40 1.0× 24 0.6× 51 573
Michal Magid-Slav United States 9 129 1.2× 77 1.5× 31 0.7× 53 1.3× 10 0.2× 14 355
Karissa Adkins United States 11 98 0.9× 53 1.1× 44 0.9× 35 0.8× 8 0.2× 22 269
James F. Reindel United States 11 170 1.5× 58 1.2× 22 0.5× 40 1.0× 13 0.3× 18 390
Xuhui Feng China 8 167 1.5× 104 2.1× 59 1.3× 17 0.4× 7 0.2× 15 397
Paul Deslex France 6 87 0.8× 82 1.6× 26 0.6× 24 0.6× 31 0.8× 9 274
Deborah K. Ngan United States 7 160 1.4× 62 1.2× 30 0.6× 31 0.7× 13 0.3× 14 324

Countries citing papers authored by Heike Marxfeld

Since Specialization
Citations

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

Fields of papers citing papers by Heike Marxfeld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heike Marxfeld

This figure shows the co-authorship network connecting the top 25 collaborators of Heike Marxfeld. A scholar is included among the top collaborators of Heike Marxfeld 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 Heike Marxfeld. Heike Marxfeld 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.
Ma‐Hock, Lan, Steffen Schneider, Naveed Honarvar, et al.. (2024). Toxicological inhalation studies in rats to substantiate grouping of zinc oxide nanoforms. Particle and Fibre Toxicology. 21(1). 24–24. 3 indexed citations
3.
Palazzi, Xavier, Erio Barale-Thomas, Bhupinder Bawa, et al.. (2023). Results of the European Society of Toxicologic Pathology Survey on the Use of Artificial Intelligence in Toxicologic Pathology. Toxicologic Pathology. 51(4). 216–224. 2 indexed citations
4.
Anders, Christopher J., et al.. (2023). Towards Fixing Clever-Hans Predictors with Counterfactual Knowledge Distillation. 2599–2607.
6.
Carboni, Eleonora, et al.. (2020). A Workflow for the Performance of the Differential Ovarian Follicle Count Using Deep Neuronal Networks. Toxicologic Pathology. 49(4). 843–850. 7 indexed citations
7.
Marxfeld, Heike, Karin Küttler, Martina Dammann, Sibylle Gröters, & Bennard van Ravenzwaay. (2019). Body and organ weight data in 28-day toxicological studies in two mouse strains. SHILAP Revista de lepidopterología. 27. 104632–104632. 4 indexed citations
8.
Wiemann, Christiane, Audrey Vardy, Barbara M. Elcombe, et al.. (2019). Metazachlor: Mode of action analysis for rat liver tumour formation and human relevance. Toxicology. 426. 152282–152282. 10 indexed citations
9.
Marxfeld, Heike, Karin Küttler, Martina Dammann, Sibylle Gröters, & Bennard van Ravenzwaay. (2019). Variance of body and organ weights in 28-day studies in mice. Regulatory Toxicology and Pharmacology. 108. 104472–104472. 6 indexed citations
11.
André, Carl, Roland Buesen, Christine Wandelt, et al.. (2018). Safety assessment of EPA+DHA canola oil by fatty acid profile comparison to various edible oils and fat-containing foods and a 28-day repeated dose toxicity study in rats. Food and Chemical Toxicology. 124. 168–181. 17 indexed citations
12.
Kemeny, M. Margaret, et al.. (2016). 15-Day intact adult male rat assay with alpha-cypermethrin. Toxicology Letters. 258. S308–S309. 1 indexed citations
13.
Mattes, William B., Kelly J. Davis, Eric Fabian, et al.. (2014). Detection of hepatotoxicity potential with metabolite profiling (metabolomics) of rat plasma. Toxicology Letters. 230(3). 467–478. 58 indexed citations
14.
Schneider, Steffen, Heike Marxfeld, Sibylle Gröters, Roland Buesen, & Bennard van Ravenzwaay. (2013). Vinclozolin—No transgenerational inheritance of anti-androgenic effects after maternal exposure during organogenesis via the intraperitoneal route. Reproductive Toxicology. 37. 6–14. 26 indexed citations
15.
Rudmann, Daniel G., Robert D. Cardiff, Luc Chouinard, et al.. (2012). Proliferative and Nonproliferative Lesions of the Rat and Mouse Mammary, Zymbal’s, Preputial, and Clitoral Glands. Toxicologic Pathology. 40(6_suppl). 7S–39S. 58 indexed citations
16.
Chamanza, Ronnie, et al.. (2010). Incidences and Range of Spontaneous Findings in Control Cynomolgus Monkeys (Macaca fascicularis) Used in Toxicity Studies. Toxicologic Pathology. 38(4). 642–657. 81 indexed citations
17.
Kuiper, H., Anne Wöhlke, Peter Wohlsein, et al.. (2007). [Familial occurrence of a congenital defect of the keratinisation of the skin in German Angus calves].. PubMed. 114(1). 25–9. 1 indexed citations
18.
Marxfeld, Heike, Frank Staedtler, & Johannes H. Harleman. (2006). Gene expression in fibroadenomas of the rat mammary gland in contrast to spontaneous adenocarcinomas and normal mammary gland. Experimental and Toxicologic Pathology. 58(2-3). 145–150. 5 indexed citations
19.
Marxfeld, Heike, Frank Staedtler, & Johannes H. Harleman. (2006). Characterisation of two rat mammary tumour models for breast cancer research by gene expression profiling. Experimental and Toxicologic Pathology. 58(2-3). 133–143. 4 indexed citations
20.
Marxfeld, Heike, et al.. (2006). Differentiation of spontaneous and induced mammary adenocarcinomas of the rat by gene expression profiling. Experimental and Toxicologic Pathology. 58(2-3). 151–161. 8 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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