Daniel M. Lapadula

40 papers receiving 955 citations

Peers

Daniel M. Lapadula
Comparison fields: 5 of 86
  • Health, Toxicology and Mutagenesis 217
  • Plant Science 507
  • Pollution 155
  • Cancer Research 176
  • Cell Biology 163
Replace Anna Forsby with:
Anna Forsby Sweden
Monica Johnson United Kingdom
In Chul Shin South Korea
Jorge M. Naciff United States
Herbert E. Lowndes United States
Emma Di Consiglio Italy
B. W. Street United Kingdom
Yujuan Song United States
C. J. Terhaar United States
R. Ricordy Italy
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Citations per year

Countries citing papers authored by Daniel M. Lapadula

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Lapadula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel M. Lapadula, 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 Daniel M. Lapadula Line = papers co-authored together Daniel M. Lapadula links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990181
2 198675
3 198946
4 199245
5 199345
6 198744
7 198842
8 198835
9 198634
10 198534
11 198728
12 198627
13 198625
14 198524
15 199123
16 198723
17 199221
18 199220
19 199219
20 199019

About Daniel M. Lapadula

Daniel M. Lapadula is a scholar working on Plant Science, Molecular Biology, Cancer Research, Pollution and Cell Biology, having authored 40 papers that have together received 983 indexed citations. Recurring topics across this work include Pesticide Exposure and Toxicity (16 papers), Carcinogens and Genotoxicity Assessment (8 papers), Pesticide and Herbicide Environmental Studies (6 papers), Pharmacogenetics and Drug Metabolism (5 papers), Mitochondrial Function and Pathology (4 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Skin and Cellular Biology Research (3 papers) and Potato Plant Research (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (217 citations), Plant Science (507 citations), Pollution (155 citations), Cancer Research (176 citations) and Cell Biology (163 citations). Daniel M. Lapadula has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include Mohamed B. Abou‐Donia, Suzanne E. Patton, Clark D. Carrington, Stephen G. Somkuti, Richard D. Irwin, James C. Lamb, Marvin A. Friedman, Robert E. Chapin, Ram P. Gupta and Gerald A. Campbell. Their work appears in journals such as Toxicology and Applied Pharmacology, Brain Research, Biochemical Pharmacology, Journal of Pharmacology and Experimental Therapeutics and Journal of Toxicology and Environmental Health.

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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