Michael J. Duryee

3.0k citations
94 papers · 2.4k · h-index 29

Impact in

Papers in

Michael J. Duryee

92 papers receiving 2.3k citations

Peers

Michael J. Duryee
Comparison fields: 5 of 124
  • Rheumatology 493
  • Pathology and Forensic Medicine 379
  • Immunology 382
  • Hepatology 136
  • Epidemiology 442
Replace Marta Kalousová with:
Marta Kalousová Czechia
Lingli Dong China
Barry J. Potter United States
Yong Chul Lee South Korea
Tomoko Sonoda Japan
Antonius J.G. Swaak Netherlands
Katsunori Iijima Japan
Yasumasa Ikeda Japan
Judith Sylvester Canada
Keisuke Hagihara Japan
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Citations per field
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Citations per year

Countries citing papers authored by Michael J. Duryee

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Duryee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Duryee. 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 Michael J. Duryee. The network helps show where Michael J. Duryee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014164
2 2014140
3 201099
4 199880
5 201380
6 201963
7 201161
8 201759
9 200955
10 201655
11 201554
12 201152
13 201451
14 200450
15 201747
16 200545
17
Induction of autophagy markers is associated with attenuation of miR-133a in diabetic heart failure patients undergoing mechanical unloading.
201545
18 200843
19 201843
20 201041

About Michael J. Duryee

Michael J. Duryee is a scholar working on Rheumatology, Pathology and Forensic Medicine, Immunology, Pulmonary and Respiratory Medicine and Clinical Biochemistry, having authored 94 papers that have together received 2.4k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (18 papers), Alcohol Consumption and Health Effects (14 papers), Liver Disease Diagnosis and Treatment (9 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers), Atherosclerosis and Cardiovascular Diseases (8 papers), IL-33, ST2, and ILC Pathways (7 papers), Advanced Glycation End Products research (6 papers) and Antioxidant Activity and Oxidative Stress (5 papers). The work is most often cited by research in Rheumatology (493 citations), Pathology and Forensic Medicine (379 citations), Immunology (382 citations), Hepatology (136 citations) and Epidemiology (442 citations). Michael J. Duryee has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Geoffrey M. Thiele, Lynell W. Klassen, Ted R. Mikuls, Daniel R. Anderson, Carlos D. Hunter, Dean J. Tuma, Robert P. Garvin, Harlan R Sayles, Monte S. Willis and Bryant R. England. Their work appears in journals such as International Immunopharmacology, Arthritis & Rheumatology, Lara D. Veeken, Alcoholism Clinical and Experimental Research and Respiratory Research.

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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