Veit Bücklein
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Oncology top 5%
- CAR-T cell therapy research
Papers in
- Oncology 42
- CAR-T cell therapy research 33
- Polyomavirus and related diseases 6
- Hematology 17
- Hematopoietic Stem Cell Transplantation 10
- Acute Myeloid Leukemia Research 7
- Co-authors
- Marion Subklewe (30 shared papers)Naval Daver (1 shared paper)Ahmad S. Alotaibi (1 shared paper)Michael von Bergwelt‐Baildon (20 shared papers)Kai Rejeski (19 shared papers)Viktoria Blumenberg (20 shared papers)Christian Schmidt (16 shared papers)Hans‐Joachim Stemmler (9 shared papers)
- Journals
- Blood (11 papers)HemaSphere (5 papers)Annals of Hematology (4 papers)Blood Advances (4 papers)Journal for ImmunoTherapy of Cancer (3 papers)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Veit Bücklein
53 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 62
- Hematology 322
- Oncology 635
- Immunology 255
- Genetics 77
- Pathology and Forensic Medicine 97
Countries citing papers authored by Veit Bücklein
This map shows the geographic impact of Veit Bücklein'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 Veit Bücklein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veit Bücklein more than expected).
Fields of papers citing papers by Veit Bücklein
This network shows the impact of papers produced by Veit Bücklein. 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 Veit Bücklein. The network helps show where Veit Bücklein may publish in the future.
Co-authors
The 25 scholars most cited alongside Veit Bücklein, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 166 | |
| 2 | 2022 | 99 | |
| 3 | 2019 | 70 | |
| 4 | 2015 | 58 | |
| 5 | 2021 | 41 | |
| 6 | 2021 | 41 | |
| 7 | 2024 | 39 | |
| 8 | 2017 | 39 | |
| 9 | 2022 | 39 | |
| 10 | 2022 | 33 | |
| 11 | 2014 | 32 | |
| 12 | 2024 | 31 | |
| 13 | 2017 | 31 | |
| 14 | 2022 | 28 | |
| 15 | 2023 | 24 | |
| 16 | 2023 | 24 | |
| 17 | 2013 | 24 | |
| 18 | 2019 | 24 | |
| 19 | 2022 | 23 | |
| 20 | 2016 | 22 |
About Veit Bücklein
Veit Bücklein is a scholar working on Oncology, Hematology, Immunology, Molecular Biology and Pathology and Forensic Medicine, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include CAR-T cell therapy research (33 papers), Hematopoietic Stem Cell Transplantation (10 papers), Lymphoma Diagnosis and Treatment (9 papers), Immune Cell Function and Interaction (8 papers), Acute Myeloid Leukemia Research (7 papers), Polyomavirus and related diseases (6 papers), Integrated Circuits and Semiconductor Failure Analysis (5 papers) and Acute Lymphoblastic Leukemia research (5 papers). The work is most often cited by research in Hematology (322 citations), Oncology (635 citations), Immunology (255 citations), Genetics (77 citations) and Pathology and Forensic Medicine (97 citations). Veit Bücklein has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Marion Subklewe, Naval Daver, Ahmad S. Alotaibi, Michael von Bergwelt‐Baildon, Kai Rejeski, Viktoria Blumenberg, Christian Schmidt, Hans‐Joachim Stemmler, Marion Subklewe and Thomas Köhnke. Their work appears in journals such as Blood, HemaSphere, Annals of Hematology, Blood Advances and Journal for ImmunoTherapy of 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.