Janet Caceres‐Cortes

506 citations
24 papers · 283 indexed · h-index 12
Topics
Pharmacogenetics and Drug Metabolism (4 papers)Analytical Chemistry and Chromatography (3 papers)Computational Drug Discovery Methods (3 papers)

In The Last Decade

Janet Caceres‐Cortes

23 papers receiving 272 citations

Peers

Janet Caceres‐Cortes
Comparison fields: 5 of 67
  • Molecular Biology 175
  • Oncology 95
  • Organic Chemistry 88
  • Pharmacology 44
  • Inorganic Chemistry 33
Replace Upendra P. Dahal with:
Upendra P. Dahal United States
Suvi T. M. Orr United States
Kenneth Crawford United States
Daniele Pezzetta Italy
Adria Colletti United States
Stuart Jones United Kingdom
Richard A. Price United Kingdom
Ellen K. Kick United States
Kuo-Chi Cheng United States
Louis‐David Cantin Canada
Janet Caceres‐Cortes relative to Upendra P. Dahal United States Upendra P. Dahal's profile →
Citations per field
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Upendra P. Dahal · 1×
Citations per year

Countries citing papers authored by Janet Caceres‐Cortes

Since Specialization
Citations

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

Fields of papers citing papers by Janet Caceres‐Cortes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet Caceres‐Cortes. 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 Janet Caceres‐Cortes. The network helps show where Janet Caceres‐Cortes may publish in the future.

Co-authorship network of co-authors of Janet Caceres‐Cortes

This figure shows the co-authorship network connecting the top 25 collaborators of Janet Caceres‐Cortes. A scholar is included among the top collaborators of Janet Caceres‐Cortes 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 Janet Caceres‐Cortes. Janet Caceres‐Cortes 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 2
2 0
3 5
4 1
5 3
6 22
7 1
8 8
9 8
10 15
11 17
12 13
13 16
14 4
15 11
16 4
17 11
18 33
19 40
20 16

About Janet Caceres‐Cortes

Janet Caceres‐Cortes is a scholar working on Pharmaceutical Science, Pharmacology and Oncology, having authored 24 papers that have together received 283 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (4 papers), Analytical Chemistry and Chromatography (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Pharmacology (44 citations), Oncology (95 citations) and Organic Chemistry (88 citations). Janet Caceres‐Cortes has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Andrew H.‐J. Wang, Isao Saito, Hiroshi Sugiyama, Michael D. Reily, W. Griffith Humphreys, Jinping Gan, Donglu Zhang, Alban J. Allentoff, Luciano Mueller and Annie Pullockaran. Their work appears in journals such as Nature Communications, Biochemistry and Journal of Medicinal Chemistry.

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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