Florence Binlich
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- CAR-T cell therapy research
- Peptidase Inhibition and Analysis
Papers in
- Hematology 10
- Multiple Myeloma Research and Treatments 7
- Acute Myeloid Leukemia Research 3
- Oncology 7
- Peptidase Inhibition and Analysis 4
- CAR-T cell therapy research 2
- Co-authors
- Vania Tietsche de Moraes Hungria (1 shared paper)Noppadol Siritanaratkul (1 shared paper)Philippe Moreau (1 shared paper)Thanyaphong Na Nakorn (1 shared paper)Monika Sopala (1 shared paper)Sagar Lonial (1 shared paper)Sung‐Soo Yoon (1 shared paper)W Wiktor-Jędrzejczak (1 shared paper)
- Journals
- Blood (6 papers)The Lancet Haematology (2 papers)European Journal of Clinical Pharmacology (1 paper)British Journal of Cancer (1 paper)European Journal of Cancer (1 paper)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Florence Binlich
16 papers receiving 1.5k citations
Florence Binlich's Hit Papers
Peers
Comparison fields: 5 of 67
- Hematology 675
- Oncology 764
- Molecular Biology 879
- Immunology 117
- Genetics 58
Countries citing papers authored by Florence Binlich
This map shows the geographic impact of Florence Binlich'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 Florence Binlich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florence Binlich more than expected).
Fields of papers citing papers by Florence Binlich
This network shows the impact of papers produced by Florence Binlich. 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 Florence Binlich. The network helps show where Florence Binlich may publish in the future.
Co-authors
The 25 scholars most cited alongside Florence Binlich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Panobinostat plus bortezomib and dexamethasone versus placebo plus bortezomib and dexamethasone in patients with relapsed or relapsed and refractory multiple myeloma: a multicentre, randomised, double-blind phase 3 trial Hit paper breakdown → | 2014 | 696 |
| 2 | 2020 | 302 | |
| 3 | 2016 | 127 | |
| 4 | 2022 | 117 | |
| 5 | 2015 | 116 | |
| 6 | 2006 | 39 | |
| 7 | 2020 | 35 | |
| 8 | 2019 | 30 | |
| 9 | 2015 | 24 | |
| 10 | 2014 | 6 | |
| 11 | 2015 | 5 | |
| 12 | 2014 | 5 | |
| 13 | 2015 | 2 | |
| 14 | 2015 | 1 | |
| 15 | 2015 | 1 | |
| 16 | 2019 | 1 |
About Florence Binlich
Florence Binlich is a scholar working on Hematology, Oncology, Statistics and Probability, Molecular Biology and Economics and Econometrics, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (7 papers), Histone Deacetylase Inhibitors Research (6 papers), Peptidase Inhibition and Analysis (4 papers), Acute Myeloid Leukemia Research (3 papers), Statistical Methods in Clinical Trials (2 papers), Protein Degradation and Inhibitors (2 papers), Advanced Causal Inference Techniques (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Hematology (675 citations), Oncology (764 citations), Molecular Biology (879 citations), Immunology (117 citations) and Genetics (58 citations). Florence Binlich has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Vania Tietsche de Moraes Hungria, Noppadol Siritanaratkul, Philippe Moreau, Thanyaphong Na Nakorn, Monika Sopala, Sagar Lonial, Sung‐Soo Yoon, W Wiktor-Jędrzejczak, Ashraf Elghandour and Andreas Guenther. Their work appears in journals such as Blood, The Lancet Haematology, European Journal of Clinical Pharmacology, British Journal of Cancer and European Journal of Cancer.
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.