Anita Badbaran

2.6k total citations · 1 hit paper
72 papers, 1.5k citations indexed

About

Anita Badbaran is a scholar working on Hematology, Genetics and Oncology. According to data from OpenAlex, Anita Badbaran has authored 72 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Hematology, 37 papers in Genetics and 18 papers in Oncology. Recurrent topics in Anita Badbaran's work include Myeloproliferative Neoplasms: Diagnosis and Treatment (34 papers), Acute Myeloid Leukemia Research (30 papers) and Chronic Myeloid Leukemia Treatments (26 papers). Anita Badbaran is often cited by papers focused on Myeloproliferative Neoplasms: Diagnosis and Treatment (34 papers), Acute Myeloid Leukemia Research (30 papers) and Chronic Myeloid Leukemia Treatments (26 papers). Anita Badbaran collaborates with scholars based in Germany, France and Italy. Anita Badbaran's co-authors include Nicolaus Kröger, Boris Fehse, Francis Ayuk, Tatjana Zabelina, Axel R. Zander, Ulrike Bacher, Christine Wolschke, Haefaa Alchalby, Maximilian Christopeit and Evgeny Klyuchnikov and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Anita Badbaran

64 papers receiving 1.5k citations

Hit Papers

CD19-targeted chimeric antigen receptor T cell therapy in... 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anita Badbaran Germany 23 972 589 570 419 235 72 1.5k
Luisa Anelli Italy 23 693 0.7× 436 0.7× 563 1.0× 149 0.4× 101 0.4× 87 1.3k
Antonella Zagaria Italy 23 637 0.7× 403 0.7× 504 0.9× 132 0.3× 98 0.4× 80 1.2k
M Malec Sweden 5 1.6k 1.7× 592 1.0× 722 1.3× 173 0.4× 261 1.1× 7 2.1k
Bartlomiej Przychodzen United States 20 1.1k 1.1× 557 0.9× 834 1.5× 144 0.3× 55 0.2× 105 1.7k
Daniela De Micheli Italy 7 1.2k 1.2× 488 0.8× 581 1.0× 127 0.3× 235 1.0× 8 1.5k
Paula Gameiro Portugal 14 1.1k 1.1× 353 0.6× 726 1.3× 229 0.5× 84 0.4× 29 1.8k
Ruth Seggewiss Germany 16 722 0.7× 384 0.7× 322 0.6× 374 0.9× 200 0.9× 26 1.4k
BA Zehnbauer United States 11 830 0.9× 402 0.7× 277 0.5× 216 0.5× 123 0.5× 14 1.1k
Isabelle Tigaud France 22 1.0k 1.1× 494 0.8× 732 1.3× 219 0.5× 121 0.5× 65 1.6k
Aiko Sato‐Otsubo Japan 20 494 0.5× 231 0.4× 860 1.5× 188 0.4× 24 0.1× 40 1.6k

Countries citing papers authored by Anita Badbaran

Since Specialization
Citations

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

Fields of papers citing papers by Anita Badbaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anita Badbaran

This figure shows the co-authorship network connecting the top 25 collaborators of Anita Badbaran. A scholar is included among the top collaborators of Anita Badbaran 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 Anita Badbaran. Anita Badbaran 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
1.
Richter, Johanna, Boris Fehse, Stefanie Reinhardt, et al.. (2024). CD19-Directed CAR T Cell Therapy in 4 Patients with Refractory Multiple Sclerosis. Blood. 144(Supplement 1). 2073–2073. 1 indexed citations
2.
Steiner, Normann, Evgeny Klyuchnikov, Anita Badbaran, et al.. (2024). Impact of TP53 Mutation on Outcome after Allogeneic Stem Cell Transplantation for Patients with MDS/AML Not in Complete Remission. Blood. 144(Supplement 1). 3571–3571. 1 indexed citations
3.
Richter, Johanna, Boris Fehse, Stefanie Reinhardt, et al.. (2024). CD19-targeted chimeric antigen receptor T cell therapy in two patients with multiple sclerosis. Med. 5(6). 550–558.e2. 78 indexed citations breakdown →
4.
Gagelmann, Nico, Christine Wolschke, Anita Badbaran, et al.. (2024). Graft-versus-host disease and impact on relapse in myelofibrosis undergoing hematopoietic stem cell transplantation. Bone Marrow Transplantation. 59(4). 550–557. 8 indexed citations
5.
Gagelmann, Nico, Anita Badbaran, Rachel B. Salit, et al.. (2023). Impact of TP53 on outcome of patients with myelofibrosis undergoing hematopoietic stem cell transplantation. Blood. 141(23). 2901–2911. 15 indexed citations
6.
Fehse, Boris, Nuray Akyüz, Maria Geffken, et al.. (2022). Molecular monitoring of T-cell kinetics and migration in severe neurotoxicity after real-world CD19-specific chimeric antigen receptor T cell therapy. Haematologica. 108(2). 444–456. 14 indexed citations
7.
Schubert, Maria‐Luisa, Carolina Berger, Alexander Kunz, et al.. (2022). Comparison of single copy gene‑based duplex quantitative PCR and digital droplet PCR for monitoring of expansion of CD19‑directed CAR T cells in treated patients. International Journal of Oncology. 60(5). 9 indexed citations
8.
Klyuchnikov, Evgeny, Anita Badbaran, Radwan Massoud, et al.. (2022). Post-Transplantation Multicolored Flow Cytometry–Minimal Residual Disease Status on Day 100 Predicts Outcomes for Patients With Refractory Acute Myeloid Leukemia. Transplantation and Cellular Therapy. 28(5). 267.e1–267.e7. 5 indexed citations
9.
Wicha, Sebastian G., Nicolaus Kröger, Alexander J. Muller, et al.. (2022). Population Pharmacokinetics of Busulfan and Its Metabolite Sulfolane in Patients with Myelofibrosis Undergoing Hematopoietic Stem Cell Transplantation. Pharmaceutics. 14(6). 1145–1145. 2 indexed citations
11.
12.
Gurnari, Carmelo, Nico Gagelmann, Anita Badbaran, et al.. (2022). Allogeneic Stem Cell Transplant for Myelodysplastic Syndrome in the New Molecular Era of IPSS-M. Blood. 140(Supplement 1). 10616–10617. 1 indexed citations
13.
14.
Gagelmann, Nico, Markus Ditschkowski, Swann Bredin, et al.. (2019). Comprehensive clinical-molecular transplant scoring system for myelofibrosis undergoing stem cell transplantation. Blood. 133(20). 2233–2242. 107 indexed citations
15.
Gagelmann, Nico, Markus Ditschkowski, Marie Robin, et al.. (2018). Comprehensive Clinical-Molecular Transplant Risk Model for Myelofibrosis Undergoing Allogeneic Stem Cell Transplantation. Blood. 132(Supplement 1). 689–689. 2 indexed citations
16.
Klyuchnikov, Evgeny, Nicolaus Kröger, Tatjana Zabelina, et al.. (2010). Chimerism studies with quantitative real-time PCR in stem cell recipients with acute myeloid leukemia. Experimental Hematology. 38(12). 1261–1271. 29 indexed citations
18.
Krüger, William, Nicolaus Kröger, Florian Tögel, et al.. (2001). Influence of Preharvest Tumor Cell Contamination in Bone Marrow or Blood Does Not Predict Resultant Tumor Cell Contamination of Granulocyte Colony-Stimulating Factor Mobilized Stem Cells. Journal of Hematotherapy & Stem Cell Research. 10(2). 303–307. 5 indexed citations
19.
Krüger, William, Nicolaus Kröger, Florian Tögel, et al.. (2001). Disseminated Breast Cancer Cells Prior to and After High-Dose Therapy. Journal of Hematotherapy & Stem Cell Research. 10(5). 681–689. 13 indexed citations
20.
Tögel, Florian, Anita Badbaran, Nicolaus Kröger, et al.. (2001). Urokinase-like Plasminogen Activator Receptor Expression on Disseminated Breast Cancer Cells. Journal of Hematotherapy & Stem Cell Research. 10(1). 141–145. 15 indexed citations

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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