Penny Nymark

2.6k total citations
51 papers, 1.3k citations indexed

About

Penny Nymark is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Materials Chemistry. According to data from OpenAlex, Penny Nymark has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Pulmonary and Respiratory Medicine and 11 papers in Materials Chemistry. Recurrent topics in Penny Nymark's work include Nanoparticles: synthesis and applications (11 papers), Occupational and environmental lung diseases (8 papers) and Computational Drug Discovery Methods (8 papers). Penny Nymark is often cited by papers focused on Nanoparticles: synthesis and applications (11 papers), Occupational and environmental lung diseases (8 papers) and Computational Drug Discovery Methods (8 papers). Penny Nymark collaborates with scholars based in Sweden, Finland and Netherlands. Penny Nymark's co-authors include Sisko Anttila, Sakari Knuutila, Ulla Vogel, Sabina Halappanavar, Harriet Wikman, Hannu Norppa, Kaisa Salmenkivi, Pekka Kohonen, Roland Grafström and Julia Catalán and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Cancer Research.

In The Last Decade

Penny Nymark

49 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Penny Nymark Sweden 21 430 392 271 252 224 51 1.3k
Deepak Gurbani United States 20 280 0.7× 1.2k 3.1× 115 0.4× 129 0.5× 287 1.3× 25 1.8k
Linda M. Sargent United States 28 733 1.7× 613 1.6× 184 0.7× 475 1.9× 403 1.8× 46 2.1k
Min Wu China 24 137 0.3× 548 1.4× 97 0.4× 722 2.9× 253 1.1× 121 2.2k
Ilse Decordier Belgium 24 366 0.9× 693 1.8× 107 0.4× 667 2.6× 937 4.2× 34 2.0k
Ling‐Wei Hii Malaysia 17 152 0.4× 547 1.4× 79 0.3× 100 0.4× 153 0.7× 31 1.4k
Chunping Liu China 23 80 0.2× 639 1.6× 117 0.4× 74 0.3× 215 1.0× 100 1.7k
Wenli Ma China 22 109 0.3× 615 1.6× 165 0.6× 160 0.6× 86 0.4× 94 1.3k
Maximilian B. MacPherson United States 24 165 0.4× 429 1.1× 555 2.0× 95 0.4× 114 0.5× 42 1.2k
Wenfang Zhou China 16 170 0.4× 266 0.7× 117 0.4× 85 0.3× 23 0.1× 24 803
Weiwei Wang China 24 110 0.3× 867 2.2× 76 0.3× 130 0.5× 254 1.1× 66 1.6k

Countries citing papers authored by Penny Nymark

Since Specialization
Citations

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

Fields of papers citing papers by Penny Nymark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Penny Nymark

This figure shows the co-authorship network connecting the top 25 collaborators of Penny Nymark. A scholar is included among the top collaborators of Penny Nymark 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 Penny Nymark. Penny Nymark 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.
Egea, Raquel, Irene Barguilla, Penny Nymark, et al.. (2025). Long-Term Exposure to Real-Life Polyethylene Terephthalate Nanoplastics Induces Carcinogenesis In Vitro. Environmental Science & Technology. 59(22). 10891–10904. 5 indexed citations
2.
Hongisto, Vesa, et al.. (2025). High-throughput screening data generation, scoring and FAIRification: a case study on nanomaterials. Journal of Cheminformatics. 17(1). 59–59. 1 indexed citations
3.
Battistelli, Chiara Laura, Cecilia Bossa, Evert A. Bouman, et al.. (2024). The FAIR principles as a key enabler to operationalize safe and sustainable by design approaches. RSC Sustainability. 2(11). 3464–3477. 12 indexed citations
4.
Nymark, Penny, Laure‐Alix Clerbaux, Maria João Amorim, et al.. (2024). Building an Adverse Outcome Pathway network for COVID-19. SHILAP Revista de lepidopterología. 4. 1384481–1384481. 3 indexed citations
5.
Clerbaux, Laure‐Alix, Penny Nymark, Vinita Chauhan, et al.. (2023). Beyond chemicals: Opportunities and challenges of integrating non-chemical stressors in adverse outcome pathways. ALTEX. 41(2). 233–247. 7 indexed citations
6.
Wittwehr, Clemens, Laure‐Alix Clerbaux, Stephen W. Edwards, et al.. (2023). Why adverse outcome pathways need to be FAIR. ALTEX. 41(1). 50–56. 8 indexed citations
7.
Haase, Andrea, et al.. (2023). PROTEOMAS: a workflow enabling harmonized proteomic meta-analysis and proteomic signature mapping. Journal of Cheminformatics. 15(1). 10 indexed citations
8.
Dumit, Verónica I., Pekka Kohonen, Roland C. Grafström, et al.. (2023). Meta‐Analysis of Integrated Proteomic and Transcriptomic Data Discerns Structure–Activity Relationship of Carbon Materials with Different Morphologies. Advanced Science. 11(9). e2306268–e2306268. 8 indexed citations
9.
Kumar, Santosh, S. Khalid, Luke T. Slater, et al.. (2023). P06-08: AOP-BOT: An AI assistance for AOP development. Toxicology Letters. 384. S107–S108. 1 indexed citations
10.
Martens, Marvin, Friederike Ehrhart, Didier Jean, et al.. (2022). A Community-Driven, Openly Accessible Molecular Pathway Integrating Knowledge on Malignant Pleural Mesothelioma. Frontiers in Oncology. 12. 849640–849640. 3 indexed citations
11.
Ammar, Ammar, et al.. (2022). FAIR assessment tools: evaluating use and performance. NanoImpact. 27. 100402–100402. 19 indexed citations
12.
Nymark, Penny, Magdalini Sachana, Sofia Batista Leite, et al.. (2021). Systematic Organization of COVID-19 Data Supported by the Adverse Outcome Pathway Framework. Frontiers in Public Health. 9. 638605–638605. 20 indexed citations
13.
Nymark, Penny, Hanna L. Karlsson, Sabina Halappanavar, & Ulla Vogel. (2021). Adverse Outcome Pathway Development for Assessment of Lung Carcinogenicity by Nanoparticles. SHILAP Revista de lepidopterología. 3. 653386–653386. 38 indexed citations
14.
Nymark, Penny, Satu Suhonen, Minnamari Vippola, et al.. (2014). Free radical scavenging and formation by multi-walled carbon nanotubes in cell free conditions and in human bronchial epithelial cells. Particle and Fibre Toxicology. 11(1). 4–4. 48 indexed citations
15.
Catalán, Julia, Penny Nymark, Jaana Palomäki, et al.. (2013). Evaluation of the health effects of carbon nanotubes. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari). 4 indexed citations
16.
Nymark, Penny, Mervi Aavikko, Salla Ruosaari, et al.. (2012). Accumulation of genomic alterations in 2p16, 9q33.1 and 19p13 in lung tumours of asbestos‐exposed patients. Molecular Oncology. 7(1). 29–40. 15 indexed citations
17.
Kettunen, Eeva, Mervi Aavikko, Penny Nymark, et al.. (2009). DNA copy number loss and allelic imbalance at 2p16 in lung cancer associated with asbestos exposure. British Journal of Cancer. 100(8). 1336–1342. 22 indexed citations
18.
Nymark, Penny, Pamela Lindholm, Mikko Korpela, et al.. (2007). Gene expression profiles in asbestos-exposed epithelial and mesothelial lung cell lines. BMC Genomics. 8(1). 62–62. 60 indexed citations
19.
Nymark, Penny, Harriet Wikman, Salla Ruosaari, et al.. (2006). Identification of Specific Gene Copy Number Changes in Asbestos-Related Lung Cancer. Cancer Research. 66(11). 5737–5743. 43 indexed citations
20.
Wikman, Harriet, Penny Nymark, Sonata Jarmalaitė, et al.. (2004). CDK4 is a probable target gene in a novel amplicon at 12q13.3–q14.1 in lung cancer. Genes Chromosomes and Cancer. 42(2). 193–199. 67 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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