Guido Tricot
- Hematology top 0.01%
- Molecular Biology top 0.2%
- Oncology top 0.1%
- Genetics top 0.1%
- Immunology top 0.5%
- Co-authors
- Bart BarlogieMaurizio ZangariElias AnaissieAthanasios FassasJohn CrowleyJohn D. ShaughnessyFrits van RheeFenghuang Zhan
- Topics
- Multiple Myeloma Research and Treatments (283 papers)Acute Myeloid Leukemia Research (68 papers)Hematopoietic Stem Cell Transplantation (64 papers)
- Cited by
- HematologyGeneticsOncology
- Partner nations
- United StatesBelgiumChina
In The Last Decade
Guido Tricot
449 papers receiving 21.7k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Hematology 16.0k
- Molecular Biology 10.9k
- Oncology 7.9k
- Genetics 3.3k
- Immunology 2.7k
Countries citing papers authored by Guido Tricot
This map shows the geographic impact of Guido Tricot'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 Guido Tricot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guido Tricot more than expected).
Fields of papers citing papers by Guido Tricot
This network shows the impact of papers produced by Guido Tricot. 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 Guido Tricot. The network helps show where Guido Tricot may publish in the future.
Co-authorship network of co-authors of Guido Tricot
This figure shows the co-authorship network connecting the top 25 collaborators of Guido Tricot. A scholar is included among the top collaborators of Guido Tricot based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guido Tricot. Guido Tricot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 21 | |
| 3 | 8 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 42 | |
| 9 | 37 | |
| 10 | 87 | |
| 11 | 44 | |
| 12 | 5 | |
| 13 | 75 | |
| 14 | 49 | |
| 15 | Safety of total therapy II with or without thalidomide (THAL) for newly diagnosed myeloma: A study of 475 consecutive patients | 1 |
| 16 | Autologous stem cell transplantation (ASCT) followed by consolidation chemotherapy for multiple myeloma (MM) | 1 |
| 17 | Long-term follow-up after high-dose therapy for high-risk multiple myeloma | 1 |
| 18 | Interphase in situ hybridization reveals minimal residual disease in early remission and return of the diagnostic clone in karyotypically normal relapse of acute lymphoblastic leukemia. | 24 |
| 19 | Hypercalcémie compliquant une maladie de Waldenström: révélation d'un syndrome de Richter. | 1 |
| 20 | [Multiple chemotherapy (MOPP) followed by either focal or selective radiotherapy in clinical stages IA and II2A of Hodgkin's disease: results after four years of the use of prospective schedule (H 7701) in 79 patients (author's transl)]. | 1 |
About Guido Tricot
Guido Tricot is a scholar working on Hematology, Genetics and Oncology, having authored 463 papers that have together received 22.3k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (283 papers), Acute Myeloid Leukemia Research (68 papers) and Hematopoietic Stem Cell Transplantation (64 papers). The work is most often cited by research in Hematology (16.0k citations), Genetics (3.3k citations) and Oncology (7.9k citations). Guido Tricot has collaborated with scholars based in United States, Belgium and China. Frequent co-authors include Bart Barlogie, Maurizio Zangari, Elias Anaissie, Athanasios Fassas, John Crowley, John D. Shaughnessy, Frits van Rhee, Fenghuang Zhan, Sundar Jagannath and Nikhil C. Munshi. Their work appears in journals such as New England Journal of Medicine, The Lancet and Journal of Clinical Investigation.
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.