Pierre Hirsch
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 28
- Acute Myeloid Leukemia Research 22
- Chronic Myeloid Leukemia Treatments 9
- Multiple Myeloma Research and Treatments 4
- Genetics 18
- Myeloproliferative Neoplasms: Diagnosis and Treatment 13
- Co-authors
- François Delhommeau (17 shared papers)Ollivier Legrand (17 shared papers)Christophe Marzac (11 shared papers)Simona Lapusan (11 shared papers)Ruoping Tang (6 shared papers)Jean‐Pierre Marie (6 shared papers)Fanny Fava (3 shared papers)Francesca Fava (2 shared papers)
- Journals
- Haematologica (8 papers)Blood (8 papers)Leukemia Research (3 papers)Lara D. Veeken (2 papers)Genes Chromosomes and Cancer (1 paper)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Pierre Hirsch
36 papers receiving 559 citations
Peers
Comparison fields: 5 of 57
- Hematology 294
- Genetics 158
- Rheumatology 100
- Oncology 143
- Cancer Research 63
Countries citing papers authored by Pierre Hirsch
This map shows the geographic impact of Pierre Hirsch'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 Pierre Hirsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Hirsch more than expected).
Fields of papers citing papers by Pierre Hirsch
This network shows the impact of papers produced by Pierre Hirsch. 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 Pierre Hirsch. The network helps show where Pierre Hirsch may publish in the future.
Co-authors
The 25 scholars most cited alongside Pierre Hirsch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 59 | |
| 2 | 2009 | 43 | |
| 3 | 2012 | 39 | |
| 4 | 2017 | 38 | |
| 5 | 2021 | 37 | |
| 6 | 2020 | 33 | |
| 7 | 2018 | 33 | |
| 8 | 2016 | 33 | |
| 9 | 2020 | 28 | |
| 10 | 2020 | 24 | |
| 11 | 2010 | 22 | |
| 12 | 2018 | 22 | |
| 13 | 2021 | 20 | |
| 14 | 2011 | 20 | |
| 15 | 2019 | 15 | |
| 16 | 2019 | 14 | |
| 17 | 2014 | 11 | |
| 18 | 2019 | 11 | |
| 19 | 2014 | 10 | |
| 20 | 2019 | 9 |
About Pierre Hirsch
Pierre Hirsch is a scholar working on Hematology, Genetics, Rheumatology, Molecular Biology and Oncology, having authored 39 papers that have together received 568 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (22 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (13 papers), Chronic Myeloid Leukemia Treatments (9 papers), Acute Lymphoblastic Leukemia research (5 papers), Otitis Media and Relapsing Polychondritis (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Multiple Myeloma Research and Treatments (4 papers) and Eosinophilic Disorders and Syndromes (3 papers). The work is most often cited by research in Hematology (294 citations), Genetics (158 citations), Rheumatology (100 citations), Oncology (143 citations) and Cancer Research (63 citations). Pierre Hirsch has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include François Delhommeau, Ollivier Legrand, Christophe Marzac, Simona Lapusan, Ruoping Tang, Jean‐Pierre Marie, Fanny Fava, Francesca Fava, Mohamad Mohty and François Chasset. Their work appears in journals such as Haematologica, Blood, Leukemia Research, Lara D. Veeken and Genes Chromosomes and 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.