Agnès Portron
- Hematology top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Genetics top 10%
- Pharmacology
- Co-authors
- Christophe SchmittRichard D. DiMarchiNeena SarkarKatsuyuki FukutakeGallia G. LevyMichaela LehleVíctor Jiménez‐YusteSammy Chebon
- Topics
- Diabetes Treatment and Management (4 papers)Hemophilia Treatment and Research (3 papers)Blood Coagulation and Thrombosis Mechanisms (2 papers)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Agnès Portron
13 papers receiving 513 citations
Hit Papers
Peers
Comparison fields: 5 of 53
- Hematology 291
- Endocrinology, Diabetes and Metabolism 147
- Molecular Biology 107
- Genetics 97
- Pharmacology 81
Countries citing papers authored by Agnès Portron
This map shows the geographic impact of Agnès Portron'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 Agnès Portron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Agnès Portron more than expected).
Fields of papers citing papers by Agnès Portron
This network shows the impact of papers produced by Agnès Portron. 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 Agnès Portron. The network helps show where Agnès Portron may publish in the future.
Co-authorship network of co-authors of Agnès Portron
This figure shows the co-authorship network connecting the top 25 collaborators of Agnès Portron. A scholar is included among the top collaborators of Agnès Portron 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 Agnès Portron. Agnès Portron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | Efficacy, safety, and pharmacokinetics of emicizumab prophylaxis given every 4 weeks in people with haemophilia A (HAVEN 4): a multicentre, open-label, non-randomised phase 3 studybreakdown → | 273 |
| 4 | 33 | |
| 5 | 12 | |
| 6 | 16 | |
| 7 | 8 | |
| 8 | 65 | |
| 9 | 40 | |
| 10 | 33 | |
| 11 | 賦形剤N-[8-(2-ヒドロキシベンゾイル)アミノ]カプリル酸ナトリウム含有イバンドロナートについて新規経口製剤選択のための第I相臨床試験 | 10 |
| 12 | Phase I clinical study to select a novel oral formulation for ibandronate containing the excipient sodium N-[8-(2-hydroxybenzoyl) amino] caprylate (SNAC). | 15 |
| 13 | 14 |
About Agnès Portron
Agnès Portron is a scholar working on Transplantation, Endocrinology, Diabetes and Metabolism and Hematology, having authored 13 papers that have together received 529 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (4 papers), Hemophilia Treatment and Research (3 papers) and Blood Coagulation and Thrombosis Mechanisms (2 papers). The work is most often cited by research in Hematology (291 citations), Genetics (97 citations) and Endocrinology, Diabetes and Metabolism (147 citations). Agnès Portron has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Christophe Schmitt, Richard D. DiMarchi, Neena Sarkar, Katsuyuki Fukutake, Gallia G. Levy, Michaela Lehle, Víctor Jiménez‐Yuste, Sammy Chebon, Midori Shima and Anna Kiialainen. Their work appears in journals such as Blood, Antimicrobial Agents and Chemotherapy and Clinical Pharmacokinetics.
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.