Florence Binlich
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
Papers in
- Oncology 5
- Cancer Treatment and Pharmacology 3
- Colorectal Cancer Treatments and Studies 2
- Peptidase Inhibition and Analysis 2
-
- Multiple Myeloma Research and Treatments 4
- Co-authors
- Thanyaphong Na Nakorn (1 shared paper)Robert Schlossman (1 shared paper)Sagar Lonial (1 shared paper)W Wiktor-Jędrzejczak (1 shared paper)Philippe Moreau (1 shared paper)Jae Hoon Lee (1 shared paper)Vânia Hungria (1 shared paper)Meral Beksaç (1 shared paper)
- Journals
- Journal of Clinical Oncology (2 papers)British Journal of Cancer (1 paper)European Journal of Clinical Pharmacology (1 paper)The Lancet Haematology (1 paper)Cancer Research (1 paper)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Florence Binlich
8 papers receiving 209 citations
Peers
Comparison fields: 5 of 49
- Hematology 98
- Pharmaceutical Science 20
- Oncology 88
- Molecular Biology 126
- Genetics 14
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 | 113 | |
| 2 | 2006 | 36 | |
| 3 | 2019 | 24 | |
| 4 | 2015 | 21 | |
| 5 | 2009 | 10 | |
| 6 | 2014 | 5 | |
| 7 | 2009 | 3 | |
| 8 | 2019 | 1 |
About Florence Binlich
Florence Binlich is a scholar working on Oncology, Hematology, Molecular Biology, Pulmonary and Respiratory Medicine and Economics and Econometrics, having authored 8 papers that have together received 213 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (4 papers), Cancer Treatment and Pharmacology (3 papers), Colorectal Cancer Treatments and Studies (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Advanced Causal Inference Techniques (2 papers), Lung Cancer Treatments and Mutations (2 papers), Statistical Methods in Clinical Trials (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Hematology (98 citations), Pharmaceutical Science (20 citations), Oncology (88 citations), Molecular Biology (126 citations) and Genetics (14 citations). Florence Binlich has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Thanyaphong Na Nakorn, Robert Schlossman, Sagar Lonial, W Wiktor-Jędrzejczak, Philippe Moreau, Jae Hoon Lee, Vânia Hungria, Meral Beksaç, Paul G. Richardson and Sung‐Soo Yoon. Their work appears in journals such as Journal of Clinical Oncology, British Journal of Cancer, European Journal of Clinical Pharmacology, The Lancet Haematology and Cancer Research.
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.