Marc W. Pladet
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Cancer Research top 10%
- Co-authors
- David ChappellGlenna L. FryDudley K. StricklandPer‐Henrik IveriusMichelle WaknitzJheem D. MedhJean-Marc LalouelIkuo Inoue
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)Lipid metabolism and disorders (3 papers)Cell Adhesion Molecules Research (3 papers)
- Cited by
- Cancer ResearchEndocrinology, Diabetes and MetabolismCardiology and Cardiovascular Medicine
- Journals
- Journal of Biological ChemistryAnnals of the New York Academy of SciencesArteriosclerosis Thrombosis and Vascular Biology
- Partner nations
- United StatesNetherlands
In The Last Decade
Marc W. Pladet
9 papers receiving 580 citations
Peers
Comparison fields: 5 of 54
- Cardiology and Cardiovascular Medicine 209
- Surgery 189
- Molecular Biology 189
- Endocrinology, Diabetes and Metabolism 177
- Cancer Research 165
Countries citing papers authored by Marc W. Pladet
This map shows the geographic impact of Marc W. Pladet'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 Marc W. Pladet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc W. Pladet more than expected).
Fields of papers citing papers by Marc W. Pladet
This network shows the impact of papers produced by Marc W. Pladet. 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 Marc W. Pladet. The network helps show where Marc W. Pladet may publish in the future.
Co-authorship network of co-authors of Marc W. Pladet
This figure shows the co-authorship network connecting the top 25 collaborators of Marc W. Pladet. A scholar is included among the top collaborators of Marc W. Pladet 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 Marc W. Pladet. Marc W. Pladet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 41 | |
| 3 | 47 | |
| 4 | 109 | |
| 5 | 8 | |
| 6 | 104 | |
| 7 | 51 | |
| 8 | 169 | |
| 9 | 40 |
About Marc W. Pladet
Marc W. Pladet is a scholar working on Immunology and Allergy, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 585 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Lipid metabolism and disorders (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Cancer Research (165 citations), Endocrinology, Diabetes and Metabolism (177 citations) and Cardiology and Cardiovascular Medicine (209 citations). Marc W. Pladet has collaborated with scholars based in United States and Netherlands. Frequent co-authors include David Chappell, Glenna L. Fry, Dudley K. Strickland, Per‐Henrik Iverius, Michelle Waknitz, Jheem D. Medh, Jean-Marc Lalouel, Ikuo Inoue, Suzanne E. Williams and Hoanh Tran. Their work appears in journals such as Journal of Biological Chemistry, Annals of the New York Academy of Sciences and Arteriosclerosis Thrombosis and Vascular Biology.
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.