Jean-Philippe Loeffler
- Molecular Biology top 10%
- Neurology top 5%
- Genetics top 5%
- Cellular and Molecular Neuroscience top 5%
- Genetics top 5%
- Co-authors
- Barbara DemeneixJean‐Paul BehrD. MonnierLuc DupuisJosé‐Luis González de AguilarAnissa FerganiAnne‐Laurence BoutillierChristian Gaiddon
- Topics
- Receptor Mechanisms and Signaling (7 papers)Amyotrophic Lateral Sclerosis Research (6 papers)Growth Hormone and Insulin-like Growth Factors (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe EMBO Journal
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Jean-Philippe Loeffler
23 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Molecular Biology 1.0k
- Neurology 431
- Genetics 358
- Cellular and Molecular Neuroscience 341
- Genetics 237
Countries citing papers authored by Jean-Philippe Loeffler
This map shows the geographic impact of Jean-Philippe Loeffler'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 Jean-Philippe Loeffler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-Philippe Loeffler more than expected).
Fields of papers citing papers by Jean-Philippe Loeffler
This network shows the impact of papers produced by Jean-Philippe Loeffler. 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 Jean-Philippe Loeffler. The network helps show where Jean-Philippe Loeffler may publish in the future.
Co-authorship network of co-authors of Jean-Philippe Loeffler
This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Philippe Loeffler. A scholar is included among the top collaborators of Jean-Philippe Loeffler 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 Jean-Philippe Loeffler. Jean-Philippe Loeffler 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 | 421 | |
| 3 | 45 | |
| 4 | 40 | |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 33 | |
| 9 | 27 | |
| 10 | 97 | |
| 11 | 77 | |
| 12 | 19 | |
| 13 | 20 | |
| 14 | 81 | |
| 15 | 31 | |
| 16 | 35 | |
| 17 | 76 | |
| 18 | 56 | |
| 19 | Efficient gene transfer into mammalian primary endocrine cells with lipopolyamine-coated DNA.breakdown → | 584 |
| 20 | 30 |
About Jean-Philippe Loeffler
Jean-Philippe Loeffler is a scholar working on Neurology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 23 papers that have together received 1.7k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Amyotrophic Lateral Sclerosis Research (6 papers) and Growth Hormone and Insulin-like Growth Factors (6 papers). The work is most often cited by research in Neurology (431 citations), Genetics (237 citations) and Cellular and Molecular Neuroscience (341 citations). Jean-Philippe Loeffler has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Barbara Demeneix, Jean‐Paul Behr, D. Monnier, Luc Dupuis, José‐Luis González de Aguilar, Anissa Fergani, Anne‐Laurence Boutillier, Christian Gaiddon, Randa Bittar and Lucette Lacomblez. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.
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.