David J. Marcinek
- Molecular Biology top 2%
- Physiology top 1%
- Cell Biology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Ecology top 5%
- Co-authors
- Peter S. RabinovitchKevin E. ConleyDao‐Fu DaiKenneth A. SchenkmanHazel H. SzetoShane E. KruseYing Ann ChiaoCatherine E. Amara
- Topics
- Mitochondrial Function and Pathology (51 papers)Adipose Tissue and Metabolism (26 papers)Cardiovascular and exercise physiology (15 papers)
- Cited by
- AgingClinical BiochemistryPhysiology
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchSHILAP Revista de lepidopterología
- Partner nations
- United StatesRussiaUnited Kingdom
In The Last Decade
David J. Marcinek
98 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 2.7k
- Physiology 1.3k
- Cell Biology 431
- Cardiology and Cardiovascular Medicine 425
- Ecology 417
Countries citing papers authored by David J. Marcinek
This map shows the geographic impact of David J. Marcinek'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 J. Marcinek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Marcinek more than expected).
Fields of papers citing papers by David J. Marcinek
This network shows the impact of papers produced by David J. Marcinek. 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 J. Marcinek. The network helps show where David J. Marcinek may publish in the future.
Co-authorship network of co-authors of David J. Marcinek
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Marcinek. A scholar is included among the top collaborators of David J. Marcinek 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 David J. Marcinek. David J. Marcinek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 11 | |
| 10 | 12 | |
| 11 | 4 | |
| 12 | 23 | |
| 13 | 1 | |
| 14 | 61 | |
| 15 | 83 | |
| 16 | 18 | |
| 17 | 419 | |
| 18 | 184 | |
| 19 | 72 | |
| 20 | 59 |
About David J. Marcinek
David J. Marcinek is a scholar working on Complementary and alternative medicine, Physiology and Clinical Biochemistry, having authored 102 papers that have together received 4.7k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (51 papers), Adipose Tissue and Metabolism (26 papers) and Cardiovascular and exercise physiology (15 papers). The work is most often cited by research in Aging (258 citations), Clinical Biochemistry (382 citations) and Physiology (1.3k citations). David J. Marcinek has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Peter S. Rabinovitch, Kevin E. Conley, Dao‐Fu Dai, Kenneth A. Schenkman, Hazel H. Szeto, Shane E. Kruse, Ying Ann Chiao, Catherine E. Amara, Barbara A. Block and Eric G. Shankland. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.
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.