David Marciano
Impact in
- Molecular Biology top 10%
- Peroxisome Proliferator-Activated Receptors
- Metabolism, Diabetes, and Cancer
- Receptor Mechanisms and Signaling
- Biochemistry top 5%
Papers in
-
- Peroxisome Proliferator-Activated Receptors 10
- Metabolism, Diabetes, and Cancer 4
- Retinoids in leukemia and cellular processes 2
- Circular RNAs in diseases 2
- Biochemical and Molecular Research 2
- Co-authors
- Patrick R. GriffinTheodore M. KameneckaMichael J. ChalmersDana S. KuruvillaJohn B. BruningBruce D. PascalYouseung ShinDevrishi Goswami
- Journals
- Nature Communications (5 papers)Structure (3 papers)Circulation Research (2 papers)Redox Biology (2 papers)Cell Metabolism (1 paper)
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
David Marciano
26 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 1.3k
- Biochemistry 125
- Cancer Research 186
- Physiology 320
- Spectroscopy 164
Countries citing papers authored by David Marciano
This map shows the geographic impact of David Marciano'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 Marciano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Marciano more than expected).
Fields of papers citing papers by David Marciano
This network shows the impact of papers produced by David Marciano. 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 Marciano. The network helps show where David Marciano may publish in the future.
Co-authors
The 25 scholars most cited alongside David Marciano, 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 | Mitochondrial network dynamics in pulmonary disease: Bridging the gap between inflammation, oxidative stress, and bioenergetics Hit paper breakdown → | 2024 | 51 |
| 3 | 2023 | 5 | |
| 4 | 2023 | 22 | |
| 5 | 2023 | 70 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 18 | |
| 8 | 2021 | 26 | |
| 9 | 2019 | 11 | |
| 10 | 2018 | 40 | |
| 11 | 2017 | 18 | |
| 12 | 2017 | 42 | |
| 13 | 2016 | 66 | |
| 14 | 2015 | 101 | |
| 15 | 2015 | 107 | |
| 16 | 2014 | 98 | |
| 17 | 2014 | 148 | |
| 18 | 2014 | 79 | |
| 19 | 2011 | 431 | |
| 20 | 2008 | 52 |
About David Marciano
David Marciano is a scholar working on Molecular Biology, Biochemistry, Pulmonary and Respiratory Medicine, Cell Biology and Spectroscopy, having authored 26 papers that have together received 1.9k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (10 papers), Pulmonary Hypertension Research and Treatments (8 papers), Metabolism, Diabetes, and Cancer (4 papers), Retinoids in leukemia and cellular processes (2 papers), Nuclear Receptors and Signaling (2 papers), Circular RNAs in diseases (2 papers), Inflammatory mediators and NSAID effects (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Biochemistry (125 citations), Cancer Research (186 citations), Physiology (320 citations) and Spectroscopy (164 citations). David Marciano has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Patrick R. Griffin, Theodore M. Kamenecka, Michael J. Chalmers, Dana S. Kuruvilla, John B. Bruning, Bruce D. Pascal, Youseung Shin, Devrishi Goswami, Douglas J. Kojetin and Tudor Hughes. Their work appears in journals such as Nature Communications, Structure, Circulation Research, Redox Biology and Cell Metabolism.
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.