Veit Bücklein
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation 11
- Acute Myeloid Leukemia Research 8
- Oncology top 5%
- CAR-T cell therapy research 33
- Polyomavirus and related diseases 6
- Immunology top 10%
- Immune Cell Function and Interaction 8
- Genetics top 10%
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment 13
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- Integrated Circuits and Semiconductor Failure Analysis 9
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- Acute Lymphoblastic Leukemia research 5
- Co-authors
- Marion SubkleweAhmad S. AlotaibiNaval DaverMichael von Bergwelt‐BaildonKai RejeskiViktoria BlumenbergChristian SchmidtHans‐Joachim Stemmler
- Cited by
- HematologyOncologyImmunology
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Veit Bücklein
52 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 66
- Hematology 348
- Oncology 652
- Immunology 279
- Genetics 81
- Pathology and Forensic Medicine 118
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 6 | |
| 3 | 2024 | 29 | |
| 4 | 2024 | 33 | |
| 5 | 2023 | 17 | |
| 6 | 2023 | 20 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 12 | |
| 11 | 2022 | 12 | |
| 12 | 2021 | 38 | |
| 13 | 2021 | 12 | |
| 14 | 2019 | 24 | |
| 15 | 2016 | 15 | |
| 16 | 2016 | 21 | |
| 17 | 2015 | 54 | |
| 18 | 2015 | 12 | |
| 19 | 2014 | 32 | |
| 20 | 2013 | 24 |
About Veit Bücklein
Veit Bücklein is a scholar working on Hematology, Oncology, Pathology and Forensic Medicine, Immunology and Genetics, having authored 58 papers that have together received 1.0k indexed citations. Recurring topics across this work include CAR-T cell therapy research (33 papers), Lymphoma Diagnosis and Treatment (13 papers), Hematopoietic Stem Cell Transplantation (11 papers), Integrated Circuits and Semiconductor Failure Analysis (9 papers), Acute Myeloid Leukemia Research (8 papers), Immune Cell Function and Interaction (8 papers), Polyomavirus and related diseases (6 papers) and Acute Lymphoblastic Leukemia research (5 papers). The work is most often cited by research in Hematology (348 citations), Oncology (652 citations), Immunology (279 citations), Genetics (81 citations) and Pathology and Forensic Medicine (118 citations). Veit Bücklein has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Marion Subklewe, Ahmad S. Alotaibi, Naval Daver, Michael von Bergwelt‐Baildon, Kai Rejeski, Viktoria Blumenberg, Christian Schmidt, Hans‐Joachim Stemmler, Thomas Köhnke and Marion Subklewe. Their work appears in journals such as Blood, HemaSphere, Blood Advances, Annals of Hematology 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.