John C. Marecki
- Toxicology top 1%
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- Nigella sativa pharmacological applications 3
- Virology top 5%
- Pharmacology top 5%
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- Pulmonary Hypertension Research and Treatments 3
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- RNA and protein synthesis mechanisms 9
- DNA and Nucleic Acid Chemistry 6
- DNA Repair Mechanisms 3
- Advanced biosensing and bioanalysis techniques 3
- RNA Research and Splicing 3
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- Amino Acid Enzymes and Metabolism 2
- Co-authors
- Sonia C. FloresMohamed El GazzarMark R. NicollsStephen C. DreskinRabab El MezayenRubin M. TuderAmy RichterIwona J. Fijałkowska
- Journals
- Chemical Communications (2 papers)Free Radical Biology and Medicine (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
John C. Marecki
30 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 99
- Toxicology 146
- Complementary and alternative medicine 315
- Virology 116
- Pharmacology 109
- Pulmonary and Respiratory Medicine 356
Countries citing papers authored by John C. Marecki
This map shows the geographic impact of John C. Marecki'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 John C. Marecki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Marecki more than expected).
Fields of papers citing papers by John C. Marecki
This network shows the impact of papers produced by John C. Marecki. 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 John C. Marecki. The network helps show where John C. Marecki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John C. Marecki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2021 | 3 | |
| 4 | 2021 | 12 | |
| 5 | 2020 | 1 | |
| 6 | 2020 | 45 | |
| 7 | 2019 | 22 | |
| 8 | 2018 | 12 | |
| 9 | 2016 | 75 | |
| 10 | 2013 | 11 | |
| 11 | 2011 | 24 | |
| 12 | 2010 | 13 | |
| 13 | 2007 | 247 | |
| 14 | 2006 | 135 | |
| 15 | 2006 | 181 | |
| 16 | 2006 | 122 | |
| 17 | 2006 | 68 | |
| 18 | 2005 | 20 | |
| 19 | 2004 | 21 | |
| 20 | 2002 | 17 |
About John C. Marecki
John C. Marecki is a scholar working on Biochemistry, Hepatology, Complementary and alternative medicine, Immunology and Allergy and Clinical Biochemistry, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (9 papers), DNA and Nucleic Acid Chemistry (6 papers), DNA Repair Mechanisms (3 papers), Nigella sativa pharmacological applications (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Pulmonary Hypertension Research and Treatments (3 papers), RNA Research and Splicing (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Toxicology (146 citations), Complementary and alternative medicine (315 citations), Virology (116 citations), Pharmacology (109 citations) and Pulmonary and Respiratory Medicine (356 citations). John C. Marecki has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Sonia C. Flores, Mohamed El Gazzar, Mark R. Nicolls, Stephen C. Dreskin, Rabab El Mezayen, Rubin M. Tuder, Amy Richter, Iwona J. Fijałkowska, Joe M. McCord and Shambhunath Bose. Their work appears in journals such as Chemical Communications, Free Radical Biology and Medicine, Nucleic Acids Research, The FASEB Journal and Journal of Pharmacology and Experimental Therapeutics.
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.