Stefan Faderl

38.3k citations
570 papers · 27.0k indexed · 3 hit papers · h-index 88
Topics
Acute Myeloid Leukemia Research (272 papers)Chronic Lymphocytic Leukemia Research (263 papers)Chronic Myeloid Leukemia Treatments (190 papers)

In The Last Decade

Stefan Faderl

557 papers receiving 26.4k citations

Hit Papers

The Biology of Chronic Myeloid Leukemia1999202620082017199920122003250500750

Peers

Stefan Faderl
Comparison fields: 5 of 146
  • Hematology 17.0k
  • Genetics 10.9k
  • Molecular Biology 8.2k
  • Public Health, Environmental and Occupational Health 6.7k
  • Oncology 5.3k
Replace Deborah A. Thomas with:
Deborah A. Thomas United States
Elias Jabbour United States
Farhad Ravandi United States
Susan O’Brien United States
Giuseppe Saglio Italy
Zeev Estrov United States
Michele Baccarani Italy
Guillermo Garcia‐Manero United States
Pierre Fenaux France
Francis J. Giles United States
Stefan Faderl relative to Deborah A. Thomas United States Deborah A. Thomas's profile →
Citations per field
00.5×1.5×
Deborah A. Thomas · 1×
Citations per year

Countries citing papers authored by Stefan Faderl

Since Specialization
Citations

This map shows the geographic impact of Stefan Faderl'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 Stefan Faderl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Faderl more than expected).

Fields of papers citing papers by Stefan Faderl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan Faderl. 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 Stefan Faderl. The network helps show where Stefan Faderl may publish in the future.

Co-authorship network of co-authors of Stefan Faderl

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Faderl. A scholar is included among the top collaborators of Stefan Faderl 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 Stefan Faderl. Stefan Faderl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 70
3 5
4 113
5
Multicenter, Randomized, Open-Label, Phase III Trial of Decitabine Versus Patient Choice, With Physician Advice, of Either Supportive Care or Low-Dose Cytarabine for the Treatment of Older Patients With Newly Diagnosed Acute Myeloid Leukemiabreakdown →
818
6 32
7 146
8 84
9 151
10
Hematologic malignancies : acute leukemias
17
11 10
12 31
13 261
14 52
15 11
16 30
17 13
18 13
19 6
20
Hematopoietec growth factors and cytokines
1

About Stefan Faderl

Stefan Faderl is a scholar working on Hematology, Genetics and Public Health, Environmental and Occupational Health, having authored 570 papers that have together received 27.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (272 papers), Chronic Lymphocytic Leukemia Research (263 papers) and Chronic Myeloid Leukemia Treatments (190 papers). The work is most often cited by research in Hematology (17.0k citations), Genetics (10.9k citations) and Pathology and Forensic Medicine (4.8k citations). Stefan Faderl has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Hagop M. Kantarjian, Jörge E. Cortes, Susan O’Brien, Guillermo Garcia‐Manero, Francis J. Giles, Zeev Estrov, Moshe Talpaz, Deborah A. Thomas, Farhad Ravandi and Alessandra Ferrajoli. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.

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.

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