Andrew Dellinger

31 papers receiving 991 citations

Peers

Andrew Dellinger
Comparison fields: 5 of 80
  • Hepatology 128
  • Epidemiology 408
  • Pharmacology 111
  • Endocrinology, Diabetes and Metabolism 122
  • Ophthalmology 62
Replace Shuangshuang Zhao with:
Shuangshuang Zhao China
Kimberly Viker United States
Eszter Trojnár United States
Fang Xiao China
Shiying Xuan China
Linqiang Ma China
Thomas Pusl Germany
Yongming Tang United States
J Trowell United Kingdom
Qinghua Meng China
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Citations per year

Countries citing papers authored by Andrew Dellinger

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Dellinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013313
2 2013237
3 201079
4 201361
5 202060
6 201237
7 202230
8 202230
9 201426
10 201324
11 200019
12 201217
13
Serial analysis of gene expression (SAGE) in normal human trabecular meshwork.
201116
14 20148
15 20147
16 20107
17 20236
18 20245
19 20235
20 20154

About Andrew Dellinger

Andrew Dellinger is a scholar working on Pharmacology, Epidemiology, Computer Vision and Pattern Recognition, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (9 papers), Liver Disease Diagnosis and Treatment (5 papers), Diet, Metabolism, and Disease (3 papers), Glaucoma and retinal disorders (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Advanced Vision and Imaging (2 papers), Liver Disease and Transplantation (2 papers) and Computer Graphics and Visualization Techniques (2 papers). The work is most often cited by research in Hepatology (128 citations), Epidemiology (408 citations), Pharmacology (111 citations), Endocrinology, Diabetes and Metabolism (122 citations) and Ophthalmology (62 citations). Andrew Dellinger has collaborated with scholars based in United States, Hong Kong and United Kingdom. Frequent co-authors include Michael A. Hauser, Herbert Pang, Allison E. Ashley‐Koch, Ayako Suzuki, Cynthia A. Moylan, Susan K. Murphy, Melanie E. Garrett, Anna Mae Diehl, Manal F. Abdelmalek and Hans L. Tillmann. Their work appears in journals such as Gastroenterology, Journal of Hepatology, The American Journal of Gastroenterology, Cancer Medicine and Hepatology.

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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