R. M. David

719 citations
9 papers · 376 · h-index 7

Impact in

Papers in

    • Carcinogens and Genotoxicity Assessment 3
    • Cancer, Lipids, and Metabolism 1
    • Animal testing and alternatives 3

R. M. David

9 papers receiving 360 citations

Peers

R. M. David
Comparison fields: 5 of 83
  • Health, Toxicology and Mutagenesis 251
  • Chemical Health and Safety 7
  • Small Animals 38
  • Cancer Research 72
  • Pollution 35
Replace Hideki Marumo with:
Hideki Marumo Japan
Tara Lovekamp-Swan United States
Kunio Kawashima Japan
Yukio Ogawa Japan
Shumao Ding China
Gabrielle A. Willson United States
D.E. Carter United States
Reiko Kurosaka Japan
Megumi Suda Japan
Ronald L. Schuler United States
R. M. David relative to Hideki Marumo Japan Hideki Marumo's profile →
Citations per field
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Citations per year

Countries citing papers authored by R. M. David

Since Specialization
Citations

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

Fields of papers citing papers by R. M. David

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside R. M. David, 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 R. M. David Line = papers co-authored together R. M. David links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2000142
2 1999108
3 200058
4 200320
5 200119
6 199813
7
Evaluation of subchronic neurotoxicity of n-butyl acetate vapor.
199812
8 19973
9
Carbon Nanotubes and Nanofibres: Exotic Materials of Carbon (特集 カーボンアロイ学の進展)
20001

About R. M. David

R. M. David is a scholar working on Cancer Research, Small Animals, Health, Toxicology and Mutagenesis, Molecular Biology and Dermatology, having authored 9 papers that have together received 376 indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (3 papers), Animal testing and alternatives (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Inhalation and Respiratory Drug Delivery (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Drug Transport and Resistance Mechanisms (1 paper), Fiber-reinforced polymer composites (1 paper) and Cancer, Lipids, and Metabolism (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (251 citations), Chemical Health and Safety (7 citations), Small Animals (38 citations), Cancer Research (72 citations) and Pollution (35 citations). R. M. David has collaborated with scholars based in United States. Frequent co-authors include Willem D. Faber, Marcy I. Banton, T. R. Tyler, Daland R. Juberg, Douglas C. Topping, John L. O’Donoghue, Michael Gill, Takuya Hayashi, Humberto Terrones and Morinobu Endo. Their work appears in journals such as Food and Chemical Toxicology, Toxicological Sciences and PubMed.

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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