David Matye

603 citations
22 papers · 458 indexed · h-index 14

Impact in

Papers in

    • Pancreatitis Pathology and Treatment 5
    • Cholesterol and Lipid Metabolism 4
    • Pancreatic function and diabetes 3
    • Drug Transport and Resistance Mechanisms 11

David Matye

20 papers receiving 458 citations

Peers

David Matye
Comparison fields: 5 of 69
  • Epidemiology 189
  • Biochemistry 39
  • Oncology 136
  • Cell Biology 74
  • Surgery 154
Replace Sangwon Byun with:
Sangwon Byun United States
Xuemei Ge United States
Rana V. Smalling United States
Ju-Qiong Wang China
Wenhan Wu China
Susana Núñez United States
Tianfei Lu China
Lucía Barbier‐Torres United States
Debbie S. Ross United States
Seok‐Woo Hong South Korea
David Matye relative to Sangwon Byun United States Sangwon Byun's profile →
Citations per field
00.5×1.5×1.8×
Sangwon Byun · 1×
Citations per year

Countries citing papers authored by David Matye

Since Specialization
Citations

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

Fields of papers citing papers by David Matye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Matye, 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 David Matye Line = papers co-authored together David Matye 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 202077
2 201645
3 201543
4 201639
5 201838
6 202130
7 201926
8 202122
9 202220
10 202217
11 201717
12 201715
13 201814
14 202313
15 202412
16 202011
17 201710
18 20246
19 20242
20 20251

About David Matye

David Matye is a scholar working on Surgery, Oncology, Epidemiology, Molecular Biology and Cell Biology, having authored 22 papers that have together received 458 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (11 papers), Liver Disease Diagnosis and Treatment (8 papers), Pancreatitis Pathology and Treatment (5 papers), Cholesterol and Lipid Metabolism (4 papers), Epigenetics and DNA Methylation (4 papers), Pancreatic function and diabetes (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Lipid metabolism and biosynthesis (3 papers). The work is most often cited by research in Epidemiology (189 citations), Biochemistry (39 citations), Oncology (136 citations), Cell Biology (74 citations) and Surgery (154 citations). David Matye has collaborated with scholars based in United States. Frequent co-authors include Tiangang Li, Jibiao Li, Wen‐Xing Ding, Yifeng Wang, Yifeng Wang, Yuxia Zhang, Hong‐Min Ni, Feng Li, Partha Krishnamurthy and Hemantkumar Chavan. Their work appears in journals such as Nature Communications, Liver Research, Journal of Lipid Research, Cellular and Molecular Gastroenterology and Hepatology 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.

Explore authors with similar magnitude of impact