C. V. Howard

8.4k total citations · 3 hit papers
134 papers, 6.5k citations indexed

About

C. V. Howard is a scholar working on Molecular Biology, Applied Mathematics and Health, Toxicology and Mutagenesis. According to data from OpenAlex, C. V. Howard has authored 134 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 21 papers in Applied Mathematics and 16 papers in Health, Toxicology and Mutagenesis. Recurrent topics in C. V. Howard's work include Point processes and geometric inequalities (21 papers), Nanoparticles: synthesis and applications (10 papers) and Carcinogens and Genotoxicity Assessment (9 papers). C. V. Howard is often cited by papers focused on Point processes and geometric inequalities (21 papers), Nanoparticles: synthesis and applications (10 papers) and Carcinogens and Genotoxicity Assessment (9 papers). C. V. Howard collaborates with scholars based in United Kingdom, Netherlands and United States. C. V. Howard's co-authors include Matthew Reed, Andreas Elsaesser, D. van Velzen, S. A. Hinchliffe, George McKerr, Stephen M. Evans, Hans Brændgaard, H. J. G. Gundersen, Matthew P. Reed and Martin Stanisstreet and has published in prestigious journals such as Nano Letters, Environmental Science & Technology and PLoS ONE.

In The Last Decade

C. V. Howard

130 papers receiving 6.2k citations

Hit Papers

Unbiased Stereology: Three-Dimensional Measurement in Mic... 1992 2026 2003 2014 1998 2011 1992 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. V. Howard United Kingdom 34 1.2k 1.0k 906 882 634 134 6.5k
Terry M. Mayhew United Kingdom 52 113 0.1× 1.8k 1.7× 2.2k 2.4× 2.5k 2.9× 145 0.2× 182 8.5k
Christian Mühlfeld Germany 39 796 0.6× 1.3k 1.2× 157 0.2× 43 0.0× 690 1.1× 168 5.4k
Peter Möller Germany 83 2.8k 2.3× 6.6k 6.3× 417 0.5× 259 0.3× 1.5k 2.3× 459 24.2k
Andrea Magrini Italy 38 1.5k 1.2× 1.0k 1.0× 138 0.2× 108 0.1× 1.2k 2.0× 267 5.3k
Donald R. Smith United States 50 141 0.1× 501 0.5× 468 0.5× 138 0.2× 159 0.3× 297 9.1k
Shigeru Okada Japan 53 1.9k 1.5× 3.2k 3.0× 235 0.3× 27 0.0× 511 0.8× 514 10.8k
Akira Tsuda United States 41 376 0.3× 692 0.7× 126 0.1× 55 0.1× 523 0.8× 239 6.1k
Yukio Yamada Japan 41 407 0.3× 2.2k 2.1× 248 0.3× 85 0.1× 2.2k 3.5× 370 11.1k
Toshio Kobayashi Japan 42 186 0.2× 644 0.6× 148 0.2× 102 0.1× 531 0.8× 360 6.4k
Johannes P.T.M. van Leeuwen Netherlands 71 232 0.2× 6.0k 5.7× 474 0.5× 133 0.2× 1.4k 2.1× 346 18.4k

Countries citing papers authored by C. V. Howard

Since Specialization
Citations

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

Fields of papers citing papers by C. V. Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. V. Howard. 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 C. V. Howard. The network helps show where C. V. Howard may publish in the future.

Co-authorship network of co-authors of C. V. Howard

This figure shows the co-authorship network connecting the top 25 collaborators of C. V. Howard. A scholar is included among the top collaborators of C. V. Howard 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 C. V. Howard. C. V. Howard 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.
Michaelis, Susan, et al.. (2021). Ultrafine particle levels measured on board short-haul commercial passenger jet aircraft. Environmental Health. 20(1). 89–89. 10 indexed citations
3.
Elsaesser, Andreas & C. V. Howard. (2011). Toxicology of nanoparticles. Advanced Drug Delivery Reviews. 64(2). 129–137. 644 indexed citations breakdown →
4.
McArt, Darragh G., et al.. (2009). Systematic random sampling of the comet assay. Mutagenesis. 24(4). 373–378. 10 indexed citations
5.
Park, Margriet V.D.Z., Wijtske Annema, Anna Salvati, et al.. (2009). In vitro developmental toxicity test detects inhibition of stem cell differentiation by silica nanoparticles. Toxicology and Applied Pharmacology. 240(1). 108–116. 116 indexed citations
6.
Pettitt, David J., et al.. (2007). Efficacy, safety and lack of immunogenicity of insulin aspart compared with regular human insulin for women with gestational diabetes mellitus. Diabetic Medicine. 24(10). 1129–1135. 61 indexed citations
7.
Newby, J.A., Christopher Busby, C. V. Howard, & Mary‐Jane Platt. (2007). The cancer incidence temporality index: An index to show temporal changes in the age of onset of overall and specific cancer (England and Wales, 1971–1999). Biomedicine & Pharmacotherapy. 61(10). 623–630. 7 indexed citations
8.
Irigaray, Philippe, J.A. Newby, Richard Clapp, et al.. (2007). Lifestyle-related factors and environmental agents causing cancer: An overview. Biomedicine & Pharmacotherapy. 61(10). 640–658. 239 indexed citations
9.
Belpomme, D, Philippe Irigaray, A J Sasco, et al.. (2007). The growing incidence of cancer: Role of lifestyle and screening detection (Review). International Journal of Oncology. 30(5). 1037–49. 76 indexed citations
10.
Sneddon, Jennifer, et al.. (2006). Mucosal surface area and fermentation activity in the hind gut of hydrated and chronically dehydrated working donkeys. Journal of Animal Science. 84(1). 119–124. 7 indexed citations
11.
Watterson, Andrew, et al.. (2004). Modeling the Dietary Pesticide Exposures of Young Children. International Journal of Occupational and Environmental Health. 10(3). 304–309. 9 indexed citations
12.
Cranston, Aaron, Louise Howard, & C. V. Howard. (2004). Quantitative Phenotyping as an Efficient Means to Estimate C-Cell Number in a Knock-in Mouse Model of MEN2B. Transgenic Research. 13(4). 339–348. 3 indexed citations
13.
Casson, I. F., Cyril Clarke, C. V. Howard, et al.. (1997). Outcomes of pregnancy in insulin dependent diabetic women: results of a five year population cohort study. BMJ. 315(7103). 275–278. 393 indexed citations
14.
Sibbons, Paul, et al.. (1996). Stereological estimation of the absolute number of glomeruli in the kidneys of lambs. Research in Veterinary Science. 60(2). 122–125. 23 indexed citations
15.
Vaidyanathan, S, D. van Velzen, K R Krishnan, et al.. (1996). Nerve fibres in urothelium and submucosa of neuropathic urinary bladder: an immunohistochemical study with S-100 and neurofilament. Spinal Cord. 34(3). 137–151. 14 indexed citations
17.
Sibbons, PD, et al.. (1994). Immunocytochemical study of a vascular barrier antigen in the developing rat brain. Journal of Comparative Pathology. 111(1). 43–53. 5 indexed citations
18.
Conan, Vania, et al.. (1992). Geostatistical and morphological methods applied to three‐dimensional microscopy. Journal of Microscopy. 166(2). 169–184. 12 indexed citations
19.
Baddeley, Adrian, C. V. Howard, A. Boyde, & Stewart E. Reid. (1987). Three-dimensional analysis of the spatial distribution of particles using the tandem-scanning reflected light microscope. Image Analysis & Stereology. 20 indexed citations
20.
Howard, C. V. & L. E. Scales. (1982). The concept of 'neuromorphotaxis' based on a minimisation principle. A case for the critical analysis of biological variation. Image Analysis & Stereology. 1 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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