H J Parra
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 5%
- Cancer Research top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Co-authors
- Hafid MezdourJean‐Marie BardJ C FruchartJean‐Charles FruchartP Douste‐BlazyN. GhalimDominique ArveilerJean‐Pierre Cambou
- Topics
- Lipoproteins and Cardiovascular Health (18 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers)Atherosclerosis and Cardiovascular Diseases (3 papers)
- Partner nations
- FranceUnited StatesJapan
In The Last Decade
H J Parra
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 90
- Endocrinology, Diabetes and Metabolism 643
- Surgery 610
- Cancer Research 229
- Cardiology and Cardiovascular Medicine 206
- Molecular Biology 200
Countries citing papers authored by H J Parra
This map shows the geographic impact of H J Parra'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 H J Parra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H J Parra more than expected).
Fields of papers citing papers by H J Parra
This network shows the impact of papers produced by H J Parra. 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 H J Parra. The network helps show where H J Parra may publish in the future.
Co-authorship network of co-authors of H J Parra
This figure shows the co-authorship network connecting the top 25 collaborators of H J Parra. A scholar is included among the top collaborators of H J Parra 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 H J Parra. H J Parra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 53 | |
| 3 | 4 | |
| 4 | [Study of the protein profile of the Adélé tribe of Togo]. | 3 |
| 5 | 36 | |
| 6 | 7 | |
| 7 | 5 | |
| 8 | Plasma lipids and lipoproteins in the grass-cutter, thryonomys swznderianus, in captivity' | 0 |
| 9 | 36 | |
| 10 | 67 | |
| 11 | 22 | |
| 12 | 1 | |
| 13 | 29 | |
| 14 | 121 | |
| 15 | 46 | |
| 16 | [Lipoprotein (a). An additional marker of atherosclerosis]. | 2 |
| 17 | 31 | |
| 18 | 169 | |
| 19 | 12 | |
| 20 | 1 |
About H J Parra
H J Parra is a scholar working on Endocrinology, Diabetes and Metabolism, Virology and Nephrology, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (18 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (643 citations), Cancer Research (229 citations) and Surgery (610 citations). H J Parra has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Hafid Mezdour, Jean‐Marie Bard, J C Fruchart, Jean‐Charles Fruchart, P Douste‐Blazy, N. Ghalim, Dominique Arveiler, Jean‐Pierre Cambou, G. Luc and C Cachera. Their work appears in journals such as Journal of Lipid Research, Clinical Chemistry and Molecules.
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.