Joseph DeYoung

21 papers receiving 1.9k citations

Joseph DeYoung's Hit Papers

A gene encoding a P-type ATPase mutated in two forms of hereditary cholestasis 1998 · 529 citations
5290+9+18Years since publication100200300400500

Peers

Joseph DeYoung
Comparison fields: 5 of 105
  • Oncology 1.0k
  • Pediatrics, Perinatology and Child Health 426
  • Pharmacology 178
  • Transplantation 43
  • Clinical Biochemistry 103
Replace David A. Katz with:
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Qinghe Xing China
U. Karbach Germany
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Donald R. Dunbar United Kingdom
Peter Hughes Australia
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Joseph DeYoung relative to David A. Katz United States David A. Katz's profile →
Citations per field
00.5×3.6×
David A. Katz · 1×
Citations per year

Countries citing papers authored by Joseph DeYoung

Since Specialization
Citations

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

Fields of papers citing papers by Joseph DeYoung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph DeYoung. 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 Joseph DeYoung. The network helps show where Joseph DeYoung may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A gene encoding a P-type ATPase mutated in two forms of hereditary cholestasis
Hit paper breakdown →
1998529
2 2003352
3 2003232
4 2003180
5 2002153
6 2009139
7 2001123
8 200184
9 200943
10 199329
11 200827
12 201325
13 201221
14 202118
15 201518
16 200612
17 200110
18 20037
19 20044
20 20223

About Joseph DeYoung

Joseph DeYoung is a scholar working on Molecular Biology, Oncology, Clinical Biochemistry, Genetics and Pediatrics, Perinatology and Child Health, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (8 papers), Metabolism and Genetic Disorders (5 papers), Genetic Associations and Epidemiology (4 papers), Pharmacological Effects and Toxicity Studies (3 papers), Epigenetics and DNA Methylation (3 papers), Amino Acid Enzymes and Metabolism (3 papers), Genomics and Rare Diseases (3 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Oncology (1.0k citations), Pediatrics, Perinatology and Child Health (426 citations), Pharmacology (178 citations), Transplantation (43 citations) and Clinical Biochemistry (103 citations). Joseph DeYoung has collaborated with scholars based in United States, Netherlands and Costa Rica. Frequent co-authors include Kathleen M. Giacomini, Nelson B. Freimer, Susan J. Johns, Ira Herskowitz, Michiko Kawamoto, Thomas E. Ferrin, Conrad C. Huang, Doug Stryke, Elaine J. Carlson and Travis R. Taylor. Their work appears in journals such as American Journal of Medical Genetics Part B Neuropsychiatric Genetics, Nature Genetics, Human Molecular Genetics, Pharmacological Reviews and Proceedings of the National Academy of Sciences.

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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