Nicolas Goardon
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
- Hematology 11
- Acute Myeloid Leukemia Research 9
- Genetics 4
- BRCA gene mutations in cancer 5
- Co-authors
- Paul‐Henri RoméoParesh VyasFrançoise PflumioDominique VaurLaurent CastéraSophie KriegerAngélina LegrosAntoine Rousselin
- Journals
- Blood (8 papers)European Journal of Human Genetics (2 papers)Haematologica (2 papers)JNCI Journal of the National Cancer Institute (1 paper)Therapeutic Advances in Urology (1 paper)
- Partner nations
- FranceUnited KingdomLuxembourg
In The Last Decade
Nicolas Goardon
27 papers receiving 896 citations
Peers
Comparison fields: 5 of 70
- Hematology 249
- Cancer Research 223
- Genetics 245
- Genetics 91
- Immunology 162
Countries citing papers authored by Nicolas Goardon
This map shows the geographic impact of Nicolas Goardon'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 Nicolas Goardon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Goardon more than expected).
Fields of papers citing papers by Nicolas Goardon
This network shows the impact of papers produced by Nicolas Goardon. 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 Nicolas Goardon. The network helps show where Nicolas Goardon may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicolas Goardon, 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 | 2024 | 0 | |
| 2 | 2022 | 1 | |
| 3 | 2022 | 9 | |
| 4 | 2020 | 16 | |
| 5 | 2020 | 26 | |
| 6 | 2018 | 57 | |
| 7 | 2018 | 49 | |
| 8 | 2017 | 144 | |
| 9 | A NOVEL MODEL OF HUMAN LYMPHO-MYELOID PROGENITOR HIERARCHY BASED ON SINGLE CELL FUNCTIONAL AND TRANSCRIPTIONAL ANALYSIS | 2017 | 2 |
| 10 | 2017 | 1 | |
| 11 | 2016 | 9 | |
| 12 | 2014 | 175 | |
| 13 | 2013 | 36 | |
| 14 | 2011 | 47 | |
| 15 | 2011 | 34 | |
| 16 | 2010 | 50 | |
| 17 | 5 ' AZACITIDINE IN COMBINATION WITH VALPROIC ACID INDUCES COMPLETE REMISSIONS IN PATIENTS WITH HIGH RISK ACUTE MYELOID LEUKAEMIA BUT DOES NOT ERADICATE CLONAL LEUKAEMIC STEM/PROGENITOR CELLS | 2009 | 2 |
| 18 | 2009 | 15 | |
| 19 | 2008 | 2 | |
| 20 | 2006 | 112 |
About Nicolas Goardon
Nicolas Goardon is a scholar working on Hematology, Genetics, Cancer Research, Genetics and Pathology and Forensic Medicine, having authored 29 papers that have together received 905 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), BRCA gene mutations in cancer (5 papers), DNA Repair Mechanisms (4 papers), Genetic factors in colorectal cancer (4 papers), Cancer Genomics and Diagnostics (4 papers), CRISPR and Genetic Engineering (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and PARP inhibition in cancer therapy (3 papers). The work is most often cited by research in Hematology (249 citations), Cancer Research (223 citations), Genetics (245 citations), Genetics (91 citations) and Immunology (162 citations). Nicolas Goardon has collaborated with scholars based in France, United Kingdom and Luxembourg. Frequent co-authors include Paul‐Henri Roméo, Paresh Vyas, Françoise Pflumio, Dominique Vaur, Laurent Castéra, Sophie Krieger, Angélina Legros, Antoine Rousselin, Baptiste Brault and Thierry Frébourg. Their work appears in journals such as Blood, European Journal of Human Genetics, Haematologica, JNCI Journal of the National Cancer Institute and Therapeutic Advances in Urology.
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.