Marguerite Neerman‐Arbez
- Pulmonary and Respiratory Medicine top 1%
- Hematology top 0.5%
- Physiology top 5%
- Molecular Biology
- Genetics top 5%
- Co-authors
- Philippe de MoerlooseAlessandro CasiniRichard J. FishStylianos E. AntonarakisMichael A. MorrisR. VilarPhilippe A. HalbanDũng Chí Vũ
- Topics
- Blood properties and coagulation (80 papers)Erythrocyte Function and Pathophysiology (30 papers)Platelet Disorders and Treatments (22 papers)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Marguerite Neerman‐Arbez
106 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 112
- Pulmonary and Respiratory Medicine 1.7k
- Hematology 1.1k
- Physiology 612
- Molecular Biology 451
- Genetics 336
Countries citing papers authored by Marguerite Neerman‐Arbez
This map shows the geographic impact of Marguerite Neerman‐Arbez'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 Marguerite Neerman‐Arbez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marguerite Neerman‐Arbez more than expected).
Fields of papers citing papers by Marguerite Neerman‐Arbez
This network shows the impact of papers produced by Marguerite Neerman‐Arbez. 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 Marguerite Neerman‐Arbez. The network helps show where Marguerite Neerman‐Arbez may publish in the future.
Co-authorship network of co-authors of Marguerite Neerman‐Arbez
This figure shows the co-authorship network connecting the top 25 collaborators of Marguerite Neerman‐Arbez. A scholar is included among the top collaborators of Marguerite Neerman‐Arbez 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 Marguerite Neerman‐Arbez. Marguerite Neerman‐Arbez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 28 | |
| 10 | 18 | |
| 11 | 14 | |
| 12 | 31 | |
| 13 | 4 | |
| 14 | 11 | |
| 15 | 21 | |
| 16 | 6 | |
| 17 | 25 | |
| 18 | 56 | |
| 19 | 77 | |
| 20 | 23 |
About Marguerite Neerman‐Arbez
Marguerite Neerman‐Arbez is a scholar working on Hematology, Pulmonary and Respiratory Medicine and Genetics, having authored 109 papers that have together received 3.0k indexed citations. Recurring topics across this work include Blood properties and coagulation (80 papers), Erythrocyte Function and Pathophysiology (30 papers) and Platelet Disorders and Treatments (22 papers). The work is most often cited by research in Hematology (1.1k citations), Pulmonary and Respiratory Medicine (1.7k citations) and Internal Medicine (158 citations). Marguerite Neerman‐Arbez has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Philippe de Moerloose, Alessandro Casini, Richard J. Fish, Stylianos E. Antonarakis, Michael A. Morris, R. Vilar, Philippe A. Halban, Dũng Chí Vũ, Françoise Boehlen and Alexandre Fort. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Blood.
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.