Florence Binlich
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
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- Peptidase Inhibition and Analysis
- Cancer Treatment and Pharmacology
- HER2/EGFR in Cancer Research
Papers in
- Oncology 3
- Cancer Treatment and Pharmacology 3
- Colorectal Cancer Treatments and Studies 2
-
- Multiple Myeloma Research and Treatments 3
- Chronic Myeloid Leukemia Treatments 1
- Co-authors
- Jesús F. San Miguel (1 shared paper)Ashraf Elghandour (1 shared paper)Philippe Moreau (1 shared paper)Paul G. Richardson (1 shared paper)Sung‐Soo Yoon (1 shared paper)Thanyaphong Na Nakorn (1 shared paper)Hermann Einsele (1 shared paper)Jian Hou (1 shared paper)
- Journals
- Journal of Clinical Oncology (2 papers)The Lancet Haematology (1 paper)Cancer Research (1 paper)British Journal of Cancer (1 paper)European Journal of Clinical Pharmacology (1 paper)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Florence Binlich
8 papers receiving 213 citations
Peers
Comparison fields: 5 of 45
- Hematology 93
- Oncology 72
- Pharmaceutical Science 17
- Molecular Biology 109
- Genetics 13
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 | 2016 | 114 | |
| 2 | 2006 | 36 | |
| 3 | 2019 | 26 | |
| 4 | 2015 | 22 | |
| 5 | 2009 | 10 | |
| 6 | 2014 | 5 | |
| 7 | 2009 | 3 | |
| 8 | 2019 | 1 |
About Florence Binlich
Florence Binlich is a scholar working on Oncology, Hematology, Pulmonary and Respiratory Medicine, Economics and Econometrics and Statistics and Probability, having authored 8 papers that have together received 217 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (3 papers), Cancer Treatment and Pharmacology (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Lung Cancer Treatments and Mutations (2 papers), Advanced Causal Inference Techniques (2 papers), Statistical Methods in Clinical Trials (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Hematology (93 citations), Oncology (72 citations), Pharmaceutical Science (17 citations), Molecular Biology (109 citations) and Genetics (13 citations). Florence Binlich has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Jesús F. San Miguel, Ashraf Elghandour, Philippe Moreau, Paul G. Richardson, Sung‐Soo Yoon, Thanyaphong Na Nakorn, Hermann Einsele, Jian Hou, Noppadol Siritanaratkul and W Wiktor-Jędrzejczak. Their work appears in journals such as Journal of Clinical Oncology, The Lancet Haematology, Cancer Research, British Journal of Cancer and European Journal of Clinical Pharmacology.
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.