Gert Kelfkens

1.5k total citations · 1 hit paper
15 papers, 1.1k citations indexed

About

Gert Kelfkens is a scholar working on Dermatology, Biophysics and Speech and Hearing. According to data from OpenAlex, Gert Kelfkens has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Dermatology, 4 papers in Biophysics and 3 papers in Speech and Hearing. Recurrent topics in Gert Kelfkens's work include Skin Protection and Aging (8 papers), Electromagnetic Fields and Biological Effects (4 papers) and Noise Effects and Management (3 papers). Gert Kelfkens is often cited by papers focused on Skin Protection and Aging (8 papers), Electromagnetic Fields and Biological Effects (4 papers) and Noise Effects and Management (3 papers). Gert Kelfkens collaborates with scholars based in Netherlands, Guinea-Bissau and Bulgaria. Gert Kelfkens's co-authors include Frank R. de Gruijl, Jan C. van der Leun, J. C. van der Leun, H. van Weelden, H. Slaper, Henricus J. C. M. Sterenborg, Curtis Cole, P. Donald Forbes, R. E. Davies and Flora E. van Leeuwen and has published in prestigious journals such as The Science of The Total Environment, Geophysical Research Letters and Carcinogenesis.

In The Last Decade

Gert Kelfkens

15 papers receiving 1.0k citations

Hit Papers

Wavelength dependence of skin cancer induction by ultravi... 1993 2026 2004 2015 1993 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Wavelength dependence of skin cancer induction by ultraviolet irradiation of albino hairless mice.
    1993 382 citations Frank R. de Gruijl, Henricus J. C. M. Sterenborg et al. PubMed profile →

Peers

Gert Kelfkens
Masaki Moriyama Japan
Dianne E. Godar United States
Francesco Pallotti Italy
Paolo Colombo Italy
S Fincham Canada
Heinz‐Erich Wichmann Germany
Atsushi Ueda Japan
Akira Eboshida Japan
Mark V. Barrow United States
Madeleine Nowak Australia
Masaki Moriyama Japan
Gert Kelfkens
Citations per year, relative to Gert Kelfkens Gert Kelfkens (= 1×) peers Masaki Moriyama

Countries citing papers authored by Gert Kelfkens

Since Specialization
Citations

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

Fields of papers citing papers by Gert Kelfkens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gert Kelfkens

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

All Works

15 of 15 papers shown
1.
Baliatsas, Christos, Irene van Kamp, John Bolte, et al.. (2016). Clinically defined non-specific symptoms in the vicinity of mobile phone base stations: A retrospective before-after study. The Science of The Total Environment. 565. 714–720. 9 indexed citations
2.
Baliatsas, Christos, John Bolte, Joris Yzermans, et al.. (2015). Actual and perceived exposure to electromagnetic fields and non-specific physical symptoms: An epidemiological study based on self-reported data and electronic medical records. International Journal of Hygiene and Environmental Health. 218(3). 331–344. 63 indexed citations
3.
Rhoon, Gerard C. van, André Alemán, Gert Kelfkens, et al.. (2011). Health Council of the Netherlands: No need to change from SAR to time-temperature relation in electromagnetic fields exposure limits. International Journal of Hyperthermia. 27(4). 399–404. 418 indexed citations
4.
Baliatsas, Christos, Irene van Kamp, Gert Kelfkens, et al.. (2011). Non-specific physical symptoms in relation to actual and perceived proximity to mobile phone base stations and powerlines. BMC Public Health. 11(1). 421–421. 22 indexed citations
5.
Williams, J. E., P. N. den Outer, H. Slaper, J. Matthijsen, & Gert Kelfkens. (2004). Cloud induced reduction of solar UV‐radiation: A comparison of ground‐based and satellite based approaches. Geophysical Research Letters. 31(3). 15 indexed citations
6.
Kelfkens, Gert, et al.. (2002). Ozone layer - climate change interactions. Influence on UV levels and UV related effects. Rivm Repository (Netherlands National Institute for Public Health and the Environment). 8 indexed citations
7.
Kelfkens, Gert, et al.. (2001). Risks and Ultraviolet Budgets using Earth Observation (RUBEO): Including a nonstandard atmosphere and geographic ozone trend differences in risk assessments. Rivm Repository (Netherlands National Institute for Public Health and the Environment). 3 indexed citations
8.
Gruijl, Frank R. de, Henricus J. C. M. Sterenborg, P. Donald Forbes, et al.. (1993). Wavelength dependence of skin cancer induction by ultraviolet irradiation of albino hairless mice.. PubMed. 53(1). 53–60. 382 indexed citations breakdown →
9.
Kelfkens, Gert, Frank R. de Gruijl, & Jan C. van der Leun. (1992). The influence of ventral UVA exposure on subsequent tumorigenesis in mice by UVA or UVB irradiation. Carcinogenesis. 13(11). 2169–2174. 8 indexed citations
10.
Kelfkens, Gert, H. van Weelden, Frank R. de Gruijl, & Jan C. van der Leun. (1991). The influence of dose rate on ultraviolet tumorigenesis. Journal of Photochemistry and Photobiology B Biology. 10(1-2). 41–50. 30 indexed citations
11.
Sterenborg, Henricus J. C. M., et al.. (1991). EVALUATION OF SKIN CANCER RISK RESULTING FROM LONG TERM OCCUPATIONAL EXPOSURE TO RADIATION FROM ULTRAVIOLET LASERS IN THE RANGE FROM 190 TO 400 nm. Photochemistry and Photobiology. 54(5). 775–780. 10 indexed citations
12.
Kelfkens, Gert, Frank R. de Gruijl, & Jan C. van der Leun. (1991). Tumorigenesis by short-wave ultraviolet A: papillomas versus squamous cell carcinomas. Carcinogenesis. 12(8). 1377–1382. 60 indexed citations
13.
Kelfkens, Gert, Frank R. de Gruijl, & Jan C. van der Leun. (1990). OZONE DEPLETION AND INCREASE IN ANNUAL CARCINOGENIC ULTRAVIOLET DOSE. Photochemistry and Photobiology. 52(4). 819–823. 78 indexed citations
14.
Kelfkens, Gert, et al.. (1990). Skin temperature changes induced by ultraviolet A exposure: implications for the mechanism of erythemogenesis.. PubMed. 7(4). 178–82. 6 indexed citations
15.
Kelfkens, Gert & J. C. van der Leun. (1989). Skin temperature changes after irradiation with UVB or UVC: implications for the mechanism underlying ultraviolet erythema. Physics in Medicine and Biology. 34(5). 599–608. 11 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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