Philip Keith Moore

188 papers receiving 18.1k citations

Philip Keith Moore's Hit Papers

Hydrogen Sulfide Induces Keap1 S-sulfhydration and Suppresses Diabetes-Accelerated Atherosclerosis via Nrf2 Activation 2016 · 302 citations
3020+7+14Years since publication2505007501000

Peers

Philip Keith Moore
Comparison fields: 5 of 112
  • Biochemistry 7.8k
  • Aging 87
  • Physiology 1.4k
  • Pharmacology 421
  • Pathology and Forensic Medicine 417
Replace Rui Ting Wang with:
Rui Ting Wang Canada
Hideo Kimura Japan
Matthew Whiteman United Kingdom
Yi Zhun Zhu China
Andreas Papapetropoulos Greece
Lingyun Wu Canada
Jin‐Song Bian China
Giuseppe Cirino Italy
Christopher G. Kevil United States
Ranieri Rossi Italy
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Citations per year

Countries citing papers authored by Philip Keith Moore

Since Specialization
Citations

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

Fields of papers citing papers by Philip Keith Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip Keith Moore. 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 Philip Keith Moore. The network helps show where Philip Keith Moore may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 189 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Hydrogen Sulfide and Cell Signaling
Hit paper breakdown →
20111177
2 2008754
3
Hydrogen sulfide is a novel mediator of lipopolysaccharide‐induced inflammation in the mouse
Hit paper breakdown →
2005717
4 2004539
5 1991440
6 1993427
7 2005391
8 2018371
9 2011344
10 2006339
11 1993337
12 2009325
13 2006315
14 2004303
15
Hydrogen Sulfide Induces Keap1 S-sulfhydration and Suppresses Diabetes-Accelerated Atherosclerosis via Nrf2 Activation
Hit paper breakdown →
2016302
16 2009294
17 2003279
18 2006279
19 2005276
20 2006253

About Philip Keith Moore

Philip Keith Moore is a scholar working on Biochemistry, Pharmacology, Physiology, Pathology and Forensic Medicine and Hematology, having authored 189 papers that have together received 18.6k indexed citations. Recurring topics across this work include Sulfur Compounds in Biology (72 papers), Inflammatory mediators and NSAID effects (19 papers), Nitric Oxide and Endothelin Effects (16 papers), Pain Mechanisms and Treatments (7 papers), Eicosanoids and Hypertension Pharmacology (6 papers), Cardiac Ischemia and Reperfusion (6 papers), Platelet Disorders and Treatments (5 papers) and Garlic and Onion Studies (3 papers). The work is most often cited by research in Biochemistry (7.8k citations), Aging (87 citations), Physiology (1.4k citations), Pharmacology (421 citations) and Pathology and Forensic Medicine (417 citations). Philip Keith Moore has collaborated with scholars based in Singapore, United Kingdom and China. Frequent co-authors include Ling Li, Matthew Whiteman, Madhav Bhatia, Peter E. Rose, Yi Zhun Zhu, Jin‐Song Bian, R.C. Babbedge, Choon‐Hong Tan, Shabbir Moochhala and Rachel L. C. Handy. Their work appears in journals such as British Journal of Pharmacology, European Journal of Pharmacology, Antioxidants and Redox Signaling, Journal of Cellular and Molecular Medicine and Trends in Pharmacological Sciences.

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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