Jeffrey Warner

25 papers receiving 392 citations

Peers

Jeffrey Warner
Comparison fields: 5 of 73
  • Pathology and Forensic Medicine 172
  • Biochemistry 72
  • Epidemiology 152
  • Endocrinology, Diabetes and Metabolism 55
  • Hepatology 25
Replace Becky M. Sebastian with:
Becky M. Sebastian United States
Olivia Morelli Italy
Joseph Antoun United States
Michal Carmiel-Haggai Israel
Helena Daňková Czechia
Hua Ning China
Xianbin Cai China
Yuhan Tang China
Zuzana Papáčková Czechia
Finn Jung Austria
Jeffrey Warner relative to Becky M. Sebastian United States Becky M. Sebastian's profile →
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Citations per year

Countries citing papers authored by Jeffrey Warner

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Warner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018118
2 201961
3 201826
4 202122
5 202019
6 201919
7 202217
8 202217
9 202116
10 202216
11 202214
12 202211
13 202110
14 20216
15 20255
16 20235
17 20244
18 20203
19 20232
20 20251

About Jeffrey Warner

Jeffrey Warner is a scholar working on Pathology and Forensic Medicine, Epidemiology, Biochemistry, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 26 papers that have together received 397 indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (19 papers), Liver Disease Diagnosis and Treatment (15 papers), Eicosanoids and Hypertension Pharmacology (12 papers), Fatty Acid Research and Health (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Diet, Metabolism, and Disease (3 papers), Liver Disease and Transplantation (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (172 citations), Biochemistry (72 citations), Epidemiology (152 citations), Endocrinology, Diabetes and Metabolism (55 citations) and Hepatology (25 citations). Jeffrey Warner has collaborated with scholars based in United States, Denmark and China. Frequent co-authors include Irina Kirpich, Craig J. McClain, Dennis Warner, Josiah Hardesty, Ying Song, Xiang Zhang, Eric C. Rouchka, Jing X. Kang, Chih‐Yu Chen and Gary P. Wang. Their work appears in journals such as The FASEB Journal, American Journal Of Pathology, Biology, International Journal of Molecular Sciences and Hepatology Communications.

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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