C. V. Howard

129 papers receiving 6.2k citations

C. V. Howard's Hit Papers

Toxicology of nanoparticles 2011 · 650 citations
6500+9+18Years since publication2505007501000

Peers

C. V. Howard
Comparison fields: 5 of 191
  • Obstetrics and Gynecology 758
  • Health, Toxicology and Mutagenesis 589
  • Pediatrics, Perinatology and Child Health 713
  • Applied Mathematics 429
  • Developmental Neuroscience 149
Replace Terry M. Mayhew with:
Terry M. Mayhew United Kingdom
Christian Mühlfeld Germany
Jeremy N. Skepper United Kingdom
Andrea Magrini Italy
Peter Dockery Ireland
John W. Eaton United States
Kazuhiro Takahashi Japan
Shigeru Okada Japan
Tadashi Nakamura Japan
Dennis Brown United States
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside C. V. Howard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C. V. Howard Line = papers co-authored together C. V. Howard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Unbiased Stereology: Three-Dimensional Measurement in Microscopy
Hit paper breakdown →
19981035
2
Toxicology of nanoparticles
Hit paper breakdown →
2011650
3 1992444
4 1997395
5 2009314
6 1990254
7 2007244
8 2006181
9 2008178
10 2008135
11 1985128
12 2004117
13 2009116
14 2002105
15 1962105
16 2005104
17 200776
18 201076
19 201074
20 200768

About C. V. Howard

C. V. Howard is a scholar working on Applied Mathematics, Molecular Biology, Health, Toxicology and Mutagenesis, Materials Chemistry and Cancer Research, having authored 131 papers that have together received 6.5k indexed citations. Recurring topics across this work include Point processes and geometric inequalities (21 papers), Carcinogens and Genotoxicity Assessment (9 papers), Nanoparticles: synthesis and applications (9 papers), Morphological variations and asymmetry (9 papers), Effects and risks of endocrine disrupting chemicals (7 papers), Microplastics and Plastic Pollution (5 papers), Cell Image Analysis Techniques (5 papers) and Birth, Development, and Health (5 papers). The work is most often cited by research in Obstetrics and Gynecology (758 citations), Health, Toxicology and Mutagenesis (589 citations), Pediatrics, Perinatology and Child Health (713 citations), Applied Mathematics (429 citations) and Developmental Neuroscience (149 citations). C. V. Howard has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Matthew Reed, Andreas Elsaesser, D. van Velzen, S. A. Hinchliffe, George McKerr, Stephen M. Evans, H. J. G. Gundersen, Hans Brændgaard, Matthew P. Reed and I. F. Casson. Their work appears in journals such as Journal of Microscopy, Research in Veterinary Science, American Journal of Physiology-Endocrinology and Metabolism, Spinal Cord and Parasitology.

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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