David I. de Pomerai

1.8k total citations
63 papers, 1.6k citations indexed

About

David I. de Pomerai is a scholar working on Molecular Biology, Aging and Physiology. According to data from OpenAlex, David I. de Pomerai has authored 63 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 19 papers in Aging and 16 papers in Physiology. Recurrent topics in David I. de Pomerai's work include Connexins and lens biology (27 papers), Genetics, Aging, and Longevity in Model Organisms (19 papers) and Spaceflight effects on biology (8 papers). David I. de Pomerai is often cited by papers focused on Connexins and lens biology (27 papers), Genetics, Aging, and Longevity in Model Organisms (19 papers) and Spaceflight effects on biology (8 papers). David I. de Pomerai collaborates with scholars based in United Kingdom, Türkiye and Canada. David I. de Pomerai's co-authors include R.M. Clayton, Kemal Güven, Peter H.W. Butterworth, C.J. Chesterton, D. J. Pritchard, Adam Dawe, E. Peter M. Candido, Iain Thomson, Kathryn N. North and David B. Archer and has published in prestigious journals such as Nature, Development and Biochemical Journal.

In The Last Decade

David I. de Pomerai

63 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David I. de Pomerai United Kingdom 24 830 332 205 193 181 63 1.6k
Eva Wolf Germany 26 1.4k 1.6× 123 0.4× 207 1.0× 111 0.6× 68 0.4× 40 2.7k
Marc Pilon Sweden 27 1.1k 1.3× 767 2.3× 429 2.1× 187 1.0× 14 0.1× 81 2.2k
Lewis A. Jacobson United States 17 672 0.8× 562 1.7× 216 1.1× 19 0.1× 15 0.1× 37 1.2k
Joohong Ahnn South Korea 29 1.4k 1.7× 850 2.6× 158 0.8× 10 0.1× 147 0.8× 92 2.7k
Upendra Nongthomba India 20 557 0.7× 68 0.2× 64 0.3× 72 0.4× 32 0.2× 70 1.1k
Ferruccio Ritossa Italy 20 2.9k 3.4× 163 0.5× 187 0.9× 17 0.1× 65 0.4× 31 3.4k
Min Pan United States 24 1.6k 1.9× 102 0.3× 189 0.9× 15 0.1× 60 0.3× 63 2.4k
Peter C. Newell United Kingdom 37 1.6k 1.9× 92 0.3× 287 1.4× 137 0.7× 22 0.1× 80 3.5k
Guillaume Gotthard France 17 1.0k 1.2× 29 0.1× 28 0.1× 275 1.4× 79 0.4× 37 1.6k
Hugo Aguilaniu France 18 1.3k 1.5× 1.1k 3.5× 399 1.9× 17 0.1× 20 0.1× 29 2.2k

Countries citing papers authored by David I. de Pomerai

Since Specialization
Citations

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

Fields of papers citing papers by David I. de Pomerai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David I. de Pomerai. 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 David I. de Pomerai. The network helps show where David I. de Pomerai may publish in the future.

Co-authorship network of co-authors of David I. de Pomerai

This figure shows the co-authorship network connecting the top 25 collaborators of David I. de Pomerai. A scholar is included among the top collaborators of David I. de Pomerai 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 David I. de Pomerai. David I. de Pomerai 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.
Pomerai, David I. de, et al.. (2016). Microwave fields have little effect on α‐synuclein aggregation in a Caenorhabditis elegans model of Parkinson's disease. Bioelectromagnetics. 37(2). 116–129. 6 indexed citations
2.
Dawe, Adam, R Nylund, Dariusz Leszczyński, et al.. (2007). Continuous wave and simulated GSM exposure at 1.8 W/kg and 1.8 GHz do not induce hsp16‐1 heat‐shock gene expression in Caenorhabditis elegans. Bioelectromagnetics. 29(2). 92–99. 12 indexed citations
3.
4.
Güven, Kemal, et al.. (2003). A comparative study of bioassays based on enzyme biosynthesis in Escherichia coli and Bacillus subtilis exposed to heavy metals and organic pesticides. Enzyme and Microbial Technology. 32(6). 658–664. 18 indexed citations
5.
Pomerai, David I. de, Adam Dawe, Kathryn N. North, et al.. (2003). Microwave radiation can alter protein conformation without bulk heating. FEBS Letters. 543(1-3). 93–97. 196 indexed citations
6.
Laws, Thomas R., et al.. (2002). A liquid-based method for the assessment of bacterial pathogenicity using the nematodeCaenorhabditis elegans. FEMS Microbiology Letters. 210(2). 181–185. 32 indexed citations
7.
Easton, Anna, Kemal Güven, & David I. de Pomerai. (2001). Toxicity of the dithiocarbamate fungicide Mancozeb to the nontarget soil nematode,Caenorhabditis elegans. Journal of Biochemical and Molecular Toxicology. 15(1). 15–25. 31 indexed citations
8.
Güven, Kemal, et al.. (1999). The toxicity of dithiocarbamate fungicides to soil nematodes, assessed using a stress-inducible transgenic strain ofCaenorhabditis elegans. Journal of Biochemical and Molecular Toxicology. 13(6). 324–333. 32 indexed citations
9.
Pomerai, David I. de, et al.. (1999). Effect of Single and Paired Metal Inputs in Soil on a Stress-Inducible Transgenic Nematode. Archives of Environmental Contamination and Toxicology. 37(4). 503–511. 45 indexed citations
10.
Güven, Kemal & David I. de Pomerai. (1995). Differential expression of HSP70 proteins in response to heat and cadmium in Caenorhabditis elegans. Journal of Thermal Biology. 20(4). 355–363. 29 indexed citations
11.
Pomerai, David I. de, et al.. (1991). Expression in non-lens tissues of an enzyme activity related to the ‘lensspecific’ protein, δ crystallin. Development. 111(1). 181–190. 4 indexed citations
12.
Pomerai, David I. de. (1988). The transdifferentiation of neural retina into lens in vitro. ZOOLOGICAL SCIENCE. 5(1). 1–19. 5 indexed citations
13.
14.
Pomerai, David I. de, Shin Takagi, Hisato Kondoh, & Toshiya Okada. (1984). Expression of Toxin Receptors on Cell Surfaces in Transdifferentiating Cultures of Neural Retina. Development Growth & Differentiation. 26(2). 111–119. 3 indexed citations
15.
Pomerai, David I. de, et al.. (1981). Alterations in pH and Serum Concentration have Contrasting Effects on Normal and “Foreign” Pathways of Differentiation in Cultures of Embryonic Chick Neuroretinal Cells. Development Growth & Differentiation. 23(6). 613–622. 5 indexed citations
16.
Thomson, Iain, Kazuaki Yasuda, David I. de Pomerai, R.M. Clayton, & Toshiya Okada. (1981). The accumulation of lens-specific protein and mRNA in cultures of neural retina from 312-day chick embryos. Experimental Cell Research. 135(2). 445–449. 14 indexed citations
17.
Pomerai, David I. de, et al.. (1981). Determination of Chick Neuro‐retinal Cells in Culture: Serum Factors Acting between 12 and 20 Days of Culture Influence the Extent of Subsequent Lens Cell Formation. Development Growth & Differentiation. 23(3). 229–236. 14 indexed citations
18.
Clayton, R.M., Iain Thomson, & David I. de Pomerai. (1979). Relationship between crystallin mRNA expression in retina cells and their capacity to re-differentiate into lens cells. Nature. 282(5739). 628–629. 51 indexed citations
19.
Thomson, Iain, David I. de Pomerai, James F. Jackson, & Ruth M. Clayton. (1979). Lens-specific mRNA in cultures of embryonic chick neural retina and pigmented epithelium. Experimental Cell Research. 122(1). 73–81. 22 indexed citations
20.
Pomerai, David I. de & Peter H.W. Butterworth. (1975). Polyadenylation of RNA in vitro in Isolated Chromatin and Nuclei. European Journal of Biochemistry. 58(1). 185–192. 6 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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