Charles R. Yates

4.5k total citations · 1 hit paper
86 papers, 3.4k citations indexed

About

Charles R. Yates is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, Charles R. Yates has authored 86 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 13 papers in Oncology and 11 papers in Pharmacology. Recurrent topics in Charles R. Yates's work include Drug Transport and Resistance Mechanisms (9 papers), Acute Lymphoblastic Leukemia research (8 papers) and Retinal Diseases and Treatments (6 papers). Charles R. Yates is often cited by papers focused on Drug Transport and Resistance Mechanisms (9 papers), Acute Lymphoblastic Leukemia research (8 papers) and Retinal Diseases and Treatments (6 papers). Charles R. Yates collaborates with scholars based in United States, Australia and Belarus. Charles R. Yates's co-authors include Eugene Y. Krynetski, Michael Y. Fessing, Thrina Loennechen, Hung-Liang Tai, Mary V. Relling, William E. Evans, Ching‐Hon Pui, William E. Evans, Bernd Meibohm and Duane D. Miller and has published in prestigious journals such as Journal of Clinical Investigation, Annals of Internal Medicine and PLoS ONE.

In The Last Decade

Charles R. Yates

83 papers receiving 3.3k citations

Hit Papers

Molecular Diagnosis of Thiopurine S-Methyltransferase Def... 1997 2026 2006 2016 1997 100 200 300 400 500

Peers

Charles R. Yates
Comparison fields: 5 of 140
  • Public Health, Environmental and Occupational Health 869
  • Molecular Biology 868
  • Pediatrics, Perinatology and Child Health 765
  • Oncology 569
  • Pharmacology 475
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Citations per field, relative to Charles R. Yates
Charles R. Yates · 1×
Citations per year, relative to Charles R. Yates
Charles R. Yates · 1×

Countries citing papers authored by Charles R. Yates

Since Specialization
Citations

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

Fields of papers citing papers by Charles R. Yates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles R. Yates

This figure shows the co-authorship network connecting the top 25 collaborators of Charles R. Yates. A scholar is included among the top collaborators of Charles R. Yates 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 Charles R. Yates. Charles R. Yates 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
# Work Indexed citations
1 0
2 5
3 6
4 3
5
Development of a liquid chromatography-tandem mass spectrometry (LC–MS/MS) method for characterizing caffeine, methylliberine, and theacrine pharmacokinetics in humans
1
6 1
7 6
8 31
9 51
10 51
11 25
12 2
13 5
14 67
15 21
16 82
17 73
18 20
19 3
20 196

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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