Richard W. Gross
- Molecular Biology top 0.1%
- Physiology top 0.2%
- Biochemistry top 0.02%
- Spectroscopy top 0.1%
- Cardiology and Cardiovascular Medicine top 0.5%
- Co-authors
- Xianlin HanKui YangChristopher M. JenkinsDavid J. MancusoStanley L. HazenBurton E. SobelDavid A. FordDaniel P. Kelly
- Topics
- Metabolomics and Mass Spectrometry Studies (55 papers)Mitochondrial Function and Pathology (46 papers)Lipid metabolism and biosynthesis (39 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesBelarusBrazil
In The Last Decade
Richard W. Gross
221 papers receiving 20.6k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Molecular Biology 14.7k
- Physiology 4.7k
- Biochemistry 3.7k
- Spectroscopy 3.4k
- Cardiology and Cardiovascular Medicine 2.6k
Countries citing papers authored by Richard W. Gross
This map shows the geographic impact of Richard W. Gross'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 Richard W. Gross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard W. Gross more than expected).
Fields of papers citing papers by Richard W. Gross
This network shows the impact of papers produced by Richard W. Gross. 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 Richard W. Gross. The network helps show where Richard W. Gross may publish in the future.
Co-authorship network of co-authors of Richard W. Gross
This figure shows the co-authorship network connecting the top 25 collaborators of Richard W. Gross. A scholar is included among the top collaborators of Richard W. Gross based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard W. Gross. Richard W. Gross is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 37 | |
| 3 | 34 | |
| 4 | 149 | |
| 5 | 203 | |
| 6 | 143 | |
| 7 | 12 | |
| 8 | 190 | |
| 9 | 132 | |
| 10 | 240 | |
| 11 | 49 | |
| 12 | 146 | |
| 13 | 44 | |
| 14 | Shotgun lipidomics: Electrospray ionization mass spectrometric analysis and quantitation of cellular lipidomes directly from crude extracts of biological samplesbreakdown → | 906 |
| 15 | 37 | |
| 16 | 39 | |
| 17 | 45 | |
| 18 | The cardiac phenotype induced by PPARα overexpression mimics that caused by diabetes mellitusbreakdown → | 663 |
| 19 | 279 | |
| 20 | 2 |
About Richard W. Gross
Richard W. Gross is a scholar working on Biochemistry, Clinical Biochemistry and Spectroscopy, having authored 223 papers that have together received 21.0k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (55 papers), Mitochondrial Function and Pathology (46 papers) and Lipid metabolism and biosynthesis (39 papers). The work is most often cited by research in Biochemistry (3.7k citations), Molecular Biology (14.7k citations) and Spectroscopy (3.4k citations). Richard W. Gross has collaborated with scholars based in United States, Belarus and Brazil. Frequent co-authors include Xianlin Han, Kui Yang, Christopher M. Jenkins, David J. Mancuso, Stanley L. Hazen, Burton E. Sobel, David A. Ford, Daniel P. Kelly, Harold F. Sims and Brian N. Finck. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society 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.