D. M. Conning

840 citations
47 papers · 717 · h-index 15

Impact in

Papers in

D. M. Conning

43 papers receiving 595 citations

Peers

D. M. Conning
Comparison fields: 5 of 116
  • Pharmacology 101
  • Health, Toxicology and Mutagenesis 115
  • Cancer Research 90
  • Surgery 170
  • Endocrine and Autonomic Systems 23
Replace Anthony M. Ambrose with:
Anthony M. Ambrose United States
Stuart Z. Cagen United States
Miriam Verwei Netherlands
Michael J. Derelanko United States
Pallavi B. Limaye United States
A. Al‐Bader Kuwait
H. Kreppel Germany
Ch. Heierli Switzerland
F. W. Sunderman United States
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D. M. Conning relative to Anthony M. Ambrose United States Anthony M. Ambrose's profile →
Citations per field
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Anthony M. Ambrose · 1×
Citations per year

Countries citing papers authored by D. M. Conning

Since Specialization
Citations

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

Fields of papers citing papers by D. M. Conning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. M. Conning. 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 D. M. Conning. The network helps show where D. M. Conning may publish in the future.

Co-authors

The 23 scholars most cited alongside D. M. Conning, 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 D. M. Conning Line = papers co-authored together D. M. Conning links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1969165
2 198056
3 197054
4 197353
5 198642
6 199033
7 198932
8 197029
9 197228
10
Experimental toxicology : the basic issues
199325
11 196723
12
Reticuloendothelial activity and local particle disposal. A comparison of the influence of modifying agents.
196617
13 197015
14 198414
15 197114
16 196913
17 197112
18 198311
19 19949
20 19736

About D. M. Conning

D. M. Conning is a scholar working on Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health, Molecular Biology, Cancer Research and Small Animals, having authored 47 papers that have together received 717 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (3 papers), Animal testing and alternatives (3 papers), Hemophilia Treatment and Research (2 papers), Nutritional Studies and Diet (2 papers), Consumer Attitudes and Food Labeling (2 papers), Blood properties and coagulation (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Biochemical Analysis and Sensing Techniques (2 papers). The work is most often cited by research in Pharmacology (101 citations), Health, Toxicology and Mutagenesis (115 citations), Cancer Research (90 citations), Surgery (170 citations) and Endocrine and Autonomic Systems (23 citations). D. M. Conning has collaborated with scholars based in United Kingdom. Frequent co-authors include K. A. Fletcher, M.H. Litchfield, John C. Phillips, B Corrin, Diana C. Anderson, R. J. Garner, Michael Hayes, T. F. McElligott, Brian G. Lake and A. G. Heppleston. Their work appears in journals such as Nutrition Bulletin, Food and Chemical Toxicology, British Journal of Cancer, Toxicology and British Journal of Haematology.

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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