Gretchen Darlington

2.3k citations
18 papers · 1.8k indexed · h-index 17
Topics
Liver physiology and pathology (6 papers)Virus-based gene therapy research (3 papers)Animal Genetics and Reproduction (3 papers)

In The Last Decade

Gretchen Darlington

18 papers receiving 1.7k citations

Peers

Gretchen Darlington
Comparison fields: 5 of 104
  • Molecular Biology 799
  • Genetics 577
  • Nutrition and Dietetics 437
  • Surgery 334
  • Hepatology 270
Replace Sotaro Mushiake with:
Sotaro Mushiake Japan
Michele A. Battle United States
Chi‐Ming Wong Hong Kong
Janice Barnes United States
Weihua Yuan China
Robert K. Montgomery United States
Christian Thoma Germany
Qing Tian China
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Gretchen Darlington relative to Sotaro Mushiake Japan Sotaro Mushiake's profile →
Citations per field
00.5×4.9×
Sotaro Mushiake · 1×
Citations per year

Countries citing papers authored by Gretchen Darlington

Since Specialization
Citations

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

Fields of papers citing papers by Gretchen Darlington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gretchen Darlington

This figure shows the co-authorship network connecting the top 25 collaborators of Gretchen Darlington. A scholar is included among the top collaborators of Gretchen Darlington 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 Gretchen Darlington. Gretchen Darlington is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 106
2 32
3 39
4 314
5 303
6 103
7 39
8 39
9 68
10 50
11 36
12 207
13
Retroviral transduction of human hepatocytes and orthotopic engraftment in SCID mice after hepatocellular transplantation.
2
14 297
15 74
16 34
17 50
18 33

About Gretchen Darlington

Gretchen Darlington is a scholar working on Hepatology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 18 papers that have together received 1.8k indexed citations. Recurring topics across this work include Liver physiology and pathology (6 papers), Virus-based gene therapy research (3 papers) and Animal Genetics and Reproduction (3 papers). The work is most often cited by research in Aging (61 citations), Hepatology (270 citations) and Nutrition and Dietetics (437 citations). Gretchen Darlington has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Steven A. Abrams, Sheila Gunn, Keli M. Hawthorne, Ian J. Griffin, Kenneth J. Ellis, Lily K. Liang, Milton J. Finegold, Frances E. Leland, Katherine P. Ponder and Fred D. Ledley. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological 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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