Christian Brandts

14.2k total citations · 2 hit papers
110 papers, 5.0k citations indexed

About

Christian Brandts is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Christian Brandts has authored 110 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 40 papers in Hematology and 35 papers in Oncology. Recurrent topics in Christian Brandts's work include Acute Myeloid Leukemia Research (33 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (13 papers) and Protein Degradation and Inhibitors (13 papers). Christian Brandts is often cited by papers focused on Acute Myeloid Leukemia Research (33 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (13 papers) and Protein Degradation and Inhibitors (13 papers). Christian Brandts collaborates with scholars based in Germany, United States and Gabon. Christian Brandts's co-authors include Hubert Serve, Shabnam Shaid, Wolfgang E. Berdel, Carsten Müller‐Tidow, Chunaram Choudhary, Joachim Schwäble, Bülent Sargin, Lara Tickenbrock, Peter G. Kremsner and Stefan Ries and has published in prestigious journals such as The Lancet, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Christian Brandts

107 papers receiving 4.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ubiquitination and selective autophagy

2012 595 citations Shabnam Shaid, Christian Brandts et al. profile →
European Evidence-based Consensus: Inflammatory Bowel Disease and Malignancies

2015 284 citations Christian Brandts et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christian Brandts Germany	34	2.5k	1.6k	910	891	857	110	5.0k
Kinuko Mitani Japan	41	3.8k 1.5×	2.9k 1.8×	863 0.9×	1.1k 1.2×	314 0.4×	202	6.3k
Grover C. Bagby United States	46	2.7k 1.1×	1.7k 1.1×	687 0.8×	870 1.0×	410 0.5×	130	5.6k
Clayton A. Smith United States	35	2.7k 1.1×	2.9k 1.8×	1.1k 1.2×	1.1k 1.3×	300 0.4×	129	5.5k
Min Fang United States	34	1.8k 0.7×	1.7k 1.1×	517 0.6×	848 1.0×	216 0.3×	182	4.7k
François Dreyfus France	42	3.0k 1.2×	4.0k 2.5×	1.6k 1.8×	1.0k 1.2×	452 0.5×	126	6.2k
Giovanni Migliaccio Italy	46	2.5k 1.0×	2.4k 1.5×	1.8k 1.9×	538 0.6×	1.3k 1.5×	190	7.2k
David L. Jaye United States	29	1.9k 0.8×	936 0.6×	288 0.3×	906 1.0×	403 0.5×	96	3.8k
Albert Deisseroth United States	40	2.6k 1.1×	1.1k 0.7×	658 0.7×	2.4k 2.7×	402 0.5×	139	5.7k
Brian Becknell United States	38	2.1k 0.8×	1.3k 0.8×	367 0.4×	1.3k 1.5×	822 1.0×	117	6.1k
Jean‐Pierre Bourquin Switzerland	34	2.0k 0.8×	1.3k 0.8×	280 0.3×	889 1.0×	331 0.4×	129	3.9k

Countries citing papers authored by Christian Brandts

Since Specialization

Citations

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

Fields of papers citing papers by Christian Brandts

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Brandts

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Brandts, Christian, Hannah Dinse, Eva‐Maria Skoda, et al.. (2025). Consequences of COVID-19 for geriatric patients during a pandemic. Scientific Reports. 15(1). 3136–3136. 1 indexed citations

Ernst, Benjamin Philipp, Andrew Blaikie, Tom Kelsey, et al.. (2025). Assessment of decision-making with locally run and web-based large language models versus human board recommendations in otorhinolaryngology, head and neck surgery. European Archives of Oto-Rhino-Laryngology. 282(3). 1593–1607. 4 indexed citations

Wenzel, Mike, Florestan Koll, Benedikt Hoeh, et al.. (2024). Real-World Comparison of Cabazitaxel Versus¹⁷⁷Lu-PSMA Radiopharmaceutical Therapy in Metastatic Castration-Resistant Prostate Cancer. Journal of Nuclear Medicine. 66(1). 61–66. 3 indexed citations

Cremer, Anjali, Julius C. Enßle, Fabian Lang, et al.. (2023). Treatment with midostaurin and other FLT3 targeting inhibitors is associated with an increased risk of cardiovascular adverse events in patients who underwent allogeneic hematopoietic stem cell transplantation with FLT3-mutated AML. Annals of Hematology. 102(10). 2903–2908. 2 indexed citations

Schlenk, Richard F., Małgorzata Oleś, Sebastian Bauer, et al.. (2023). 1940P Deep molecular profiling of advanced synovial sarcoma as a basis for interventional clinical trials. Annals of Oncology. 34. S1042–S1042.

Tascher, Georg, Adriana Covarrubias‐Pinto, Frank Löhr, et al.. (2023). An atypical GABARAP binding module drives the pro-autophagic potential of the AML-associated NPM1c variant. Cell Reports. 42(12). 113484–113484. 3 indexed citations

Koschade, Sebastian E., et al.. (2022). SpinTip: A Simple, Robust, and Versatile Preanalytical Method for Microscale Suspension Cell Proteomics. Journal of Proteome Research. 21(11). 2827–2835. 1 indexed citations

Koschade, Sebastian E., Kevin Klann, Shabnam Shaid, et al.. (2022). Translatome proteomics identifies autophagy as a resistance mechanism to on-target FLT3 inhibitors in acute myeloid leukemia. Leukemia. 36(10). 2396–2407. 19 indexed citations

Koschade, Sebastian E., Jan Stratmann, Björn Steffen, et al.. (2022). Early‐onset venous thromboembolisms in newly diagnosed non‐promyelocytic acute myeloid leukemia patients undergoing intensive induction chemotherapy. European Journal Of Haematology. 110(4). 426–434. 2 indexed citations

10.

Wegner, Martin, Paolo Grumati, Koraljka Husnjak, et al.. (2021). Minimized combinatorial CRISPR screens identify genetic interactions in autophagy. Nucleic Acids Research. 49(10). 5684–5704. 32 indexed citations

11.

Büttner, Stefan, Jan Stratmann, Uta Brunnberg, et al.. (2021). Acute kidney injury adversely affects the clinical course of acute myeloid leukemia patients undergoing induction chemotherapy. Annals of Hematology. 100(5). 1159–1167. 6 indexed citations

12.

Balermpas, Panagiotis, Christian Brandts, Shahram Ghanaati, et al.. (2021). Re-irradiation with concurrent and maintenance nivolumab in locally recurrent and inoperable squamous cell carcinoma of the head and neck: A single-center cohort study. Clinical and Translational Radiation Oncology. 28. 71–78. 5 indexed citations

13.

Obermayer, Benedikt, Konrad Klinghammer, Sebastian Ochsenreither, et al.. (2020). Distinct immune evasion in APOBEC ‐enriched, HPV ‐negative HNSCC. International Journal of Cancer. 147(8). 2293–2302. 12 indexed citations

14.

Chaikuad, A., Sebastian E. Koschade, Alexandra Stolz, et al.. (2019). Conservation of structure, function and inhibitor binding in UNC-51-like kinase 1 and 2 (ULK1/2). Biochemical Journal. 476(5). 875–887. 43 indexed citations

15.

Grün, Jens von der, Franz Rödel, Christian Brandts, et al.. (2019). Targeted Therapies and Immune-Checkpoint Inhibition in Head and Neck Squamous Cell Carcinoma: Where Do We Stand Today and Where to Go?. Cancers. 11(4). 472–472. 23 indexed citations

16.

Koschade, Sebastian E. & Christian Brandts. (2019). Selective Autophagy in Normal and Malignant Hematopoiesis. Journal of Molecular Biology. 432(1). 261–282. 18 indexed citations

17.

Shaid, Shabnam, Olesya Vakhrusheva, Sebastian E. Koschade, et al.. (2018). Loss of the selective autophagy receptor p62 impairs murine myeloid leukemia progression and mitophagy. Blood. 133(2). 168–179. 84 indexed citations

18.

Shaid, Shabnam, et al.. (2017). Loss of the selective autophagy receptor p62 delays leukemia development and impairs mitophagy. Experimental Hematology. 53. S75–S75. 1 indexed citations

19.

Cagnoni, P. J., Christian Brandts, Romeo A. Mandanas, et al.. (2001). Topical Transforming Growth Factor-β3 in the Prevention or Alleviation of Chemotherapy-Induced Oral Mucositis in Patients with Lymphomas or Solid Tumors. Journal of Immunotherapy. 24(4). 384–388. 41 indexed citations

20.

Brandts, Christian, et al.. (1997). Double rôle du tumor necrosis factor (TNF) pendant l´accès palustre. Cahiers d'études et de recherches francophones / Santé. 7(4). 271–274. 1 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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