Walter Fiedler
- Hematology top 0.1%
- Acute Myeloid Leukemia Research 95
- Chronic Myeloid Leukemia Treatments 40
- Multiple Myeloma Research and Treatments 25
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research 26
- Myeloproliferative Neoplasms: Diagnosis and Treatment 22
- Oncology top 0.5%
- CAR-T cell therapy research 23
- Cancer Research top 1%
- Molecular Biology top 1%
- Angiogenesis and VEGF in Cancer 38
-
- Acute Lymphoblastic Leukemia research 21
- Co-authors
- Dieter K. HossfeldSüleyman ErgünCarsten BokemeyerNerbil KilicJasmin WellbrockGunter SchuchMichael HeuserUrsula M. Gehling
- Cited by
- HematologyGeneticsOncology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Oncology (29 papers)Blood (61 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Walter Fiedler
284 papers receiving 9.3k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Hematology 3.9k
- Genetics 1.8k
- Oncology 2.7k
- Cancer Research 1.2k
- Molecular Biology 5.0k
Countries citing papers authored by Walter Fiedler
This map shows the geographic impact of Walter Fiedler'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 Walter Fiedler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walter Fiedler more than expected).
Fields of papers citing papers by Walter Fiedler
This network shows the impact of papers produced by Walter Fiedler. 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 Walter Fiedler. The network helps show where Walter Fiedler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Walter Fiedler, 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 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 12 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 28 | |
| 8 | 2021 | 12 | |
| 9 | 2020 | 27 | |
| 10 | 2020 | 15 | |
| 11 | Venetoclax Combined With Low-Dose Cytarabine for Previously Untreated Patients With Acute Myeloid Leukemia: Results From a Phase Ib/II Studybreakdown → | 2019 | 456 |
| 12 | 2018 | 14 | |
| 13 | 2017 | 175 | |
| 14 | 2015 | 86 | |
| 15 | 2014 | 0 | |
| 16 | 2010 | 1 | |
| 17 | 2007 | 35 | |
| 18 | 2004 | 67 | |
| 19 | 2003 | 1 | |
| 20 | 2000 | 1 |
About Walter Fiedler
Walter Fiedler is a scholar working on Hematology, Genetics and Oncology, having authored 299 papers that have together received 9.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (95 papers), Chronic Myeloid Leukemia Treatments (40 papers), Angiogenesis and VEGF in Cancer (38 papers), Chronic Lymphocytic Leukemia Research (26 papers), Multiple Myeloma Research and Treatments (25 papers), CAR-T cell therapy research (23 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (22 papers) and Acute Lymphoblastic Leukemia research (21 papers). The work is most often cited by research in Hematology (3.9k citations), Genetics (1.8k citations) and Oncology (2.7k citations). Walter Fiedler has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Dieter K. Hossfeld, Süleyman Ergün, Carsten Bokemeyer, Nerbil Kilic, Jasmin Wellbrock, Gunter Schuch, Michael Heuser, Ursula M. Gehling, Oliver G. Ottmann and Alexander Schultze. Their work appears in journals such as Proceedings of the National Academy of Sciences, 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.