Patricia A. Escobar

1.4k citations
21 papers · 826 indexed · h-index 13

Patricia A. Escobar

21 papers receiving 797 citations

Peers

Patricia A. Escobar
Comparison fields: 5 of 97
  • Cancer Research 473
  • Health, Toxicology and Mutagenesis 266
  • Molecular Biology 232
  • Plant Science 218
  • Food Science 75
Replace Marie Vasquez with:
Marie Vasquez United States
Emi Nishidate Japan
Fusako Izumiyama Japan
Helena Petrovská Slovakia
F. Romagna Japan
Mark Hite United States
Barry Phillips United Kingdom
Ulrike Bernauer Germany
Nancy McCarroll United States
Jacky Van Gompel Belgium
Patricia A. Escobar relative to Marie Vasquez United States Marie Vasquez's profile →
Citations per field
00.5×3.9×
Marie Vasquez · 1×
Citations per year

Countries citing papers authored by Patricia A. Escobar

Since Specialization
Citations

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

Fields of papers citing papers by Patricia A. Escobar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patricia A. Escobar. 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 Patricia A. Escobar. The network helps show where Patricia A. Escobar may publish in the future.

Co-authorship network of co-authors of Patricia A. Escobar

This figure shows the co-authorship network connecting the top 25 collaborators of Patricia A. Escobar. A scholar is included among the top collaborators of Patricia A. Escobar 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 Patricia A. Escobar. Patricia A. Escobar 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
#WorkIndexed citations
1 8
2 5
3 3
4 24
5 31
6 15
7 6
8 1
9 65
10 2
11 47
12 31
13 16
14 10
15 13
16 49
17 49
18 20
19 37
20 392

About Patricia A. Escobar

Patricia A. Escobar is a scholar working on Cancer Research, Small Animals and Health, Toxicology and Mutagenesis, having authored 21 papers that have together received 826 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (15 papers), Genetically Modified Organisms Research (6 papers) and Effects and risks of endocrine disrupting chemicals (5 papers). The work is most often cited by research in Chemical Health and Safety (25 citations), Cancer Research (473 citations) and Health, Toxicology and Mutagenesis (266 citations). Patricia A. Escobar has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Brian Burlinson, Yoshifumi Uno, Marie Vasquez, Günter Speit, Andrew Collins, Raymond R. Tice, Madoka Nakajima, Andreas Hartmann, Eva Agurell and Yū F. Sasaki. Their work appears in journals such as Toxicological Sciences, Mutation Research/Reviews in Mutation Research and Mutation Research/Genetic Toxicology and Environmental Mutagenesis.

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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