Inga Nagel

4.4k total citations
51 papers, 1.1k citations indexed

About

Inga Nagel is a scholar working on Pathology and Forensic Medicine, Genetics and Molecular Biology. According to data from OpenAlex, Inga Nagel has authored 51 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pathology and Forensic Medicine, 18 papers in Genetics and 14 papers in Molecular Biology. Recurrent topics in Inga Nagel's work include Lymphoma Diagnosis and Treatment (15 papers), Chronic Lymphocytic Leukemia Research (14 papers) and Chronic Myeloid Leukemia Treatments (9 papers). Inga Nagel is often cited by papers focused on Lymphoma Diagnosis and Treatment (15 papers), Chronic Lymphocytic Leukemia Research (14 papers) and Chronic Myeloid Leukemia Treatments (9 papers). Inga Nagel collaborates with scholars based in Germany, United Kingdom and Spain. Inga Nagel's co-authors include Reiner Siebert, Reiner Siebert, Inga Vater, Julia Richter, Ingolf Cascorbi, Stefan Gesk, Martin J.S. Dyer, Wolfram Klapper, Elı́as Campo and Randy D. Gascoyne and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and Blood.

In The Last Decade

Inga Nagel

48 papers receiving 1.1k citations

Peers

Inga Nagel
Abraham Fong United States
Scott H. Olejniczak United States
Helen Parker United Kingdom
R Espinosa United States
Sydney Dubois France
Robert Bayer United States
Can Küçük Türkiye
Patricia Thompson United States
Lilian Bomme Ousager Denmark
Karl Eckert United States
Abraham Fong United States
Inga Nagel
Citations per year, relative to Inga Nagel Inga Nagel (= 1×) peers Abraham Fong

Countries citing papers authored by Inga Nagel

Since Specialization
Citations

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

Fields of papers citing papers by Inga Nagel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inga Nagel

This figure shows the co-authorship network connecting the top 25 collaborators of Inga Nagel. A scholar is included among the top collaborators of Inga Nagel 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 Inga Nagel. Inga Nagel 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.
Assis, Leonardo Vinícius Monteiro de, Lisbeth Harder, José Thalles Lacerda, et al.. (2024). Tuning of liver circadian transcriptome rhythms by thyroid hormone state in male mice. Scientific Reports. 14(1). 640–640. 7 indexed citations
2.
Jayne, Sandrine, Cristina López, Inga Nagel, et al.. (2024). The chromosomal translocation t (1;6)(p35.3;p25.2), recurrent in chronic lymphocytic leukaemia, leads to RCC1 :: IRF4 fusion. British Journal of Haematology. 205(6). 2321–2326.
3.
Nagel, Inga, et al.. (2024). BTK acts as a modulator of the response to imatinib in chronic myeloid leukemia. Oncology Letters. 28(3). 424–424. 1 indexed citations
4.
Künstner, Axel, Daniela Esser, Hauke Busch, et al.. (2023). Clonal evolution in tyrosine kinase inhibitor-resistance: lessons from in vitro-models. Frontiers in Oncology. 13. 1200897–1200897. 7 indexed citations
5.
Majchrzak‐Celińska, Aleksandra, Charles Awortwe, Inga Vater, et al.. (2022). CRISPR/Cas9-induced knockout reveals the role of ABCB1 in the response to temozolomide, carmustine and lomustine in glioblastoma multiforme. Pharmacological Research. 185. 106510–106510. 19 indexed citations
6.
Assis, Leonardo Vinícius Monteiro de, Lisbeth Harder, José Thalles Lacerda, et al.. (2022). Rewiring of liver diurnal transcriptome rhythms by triiodothyronine (T3) supplementation. eLife. 11. 13 indexed citations
7.
Vater, Inga, et al.. (2021). ZFP36L1 plays an ambiguous role in the regulation of cell expansion and negatively regulates CDKN1A in chronic myeloid leukemia cells. Experimental Hematology. 99. 54–64.e7. 9 indexed citations
8.
Nagel, Inga, Cristina López, Susanne Bens, et al.. (2020). Double-hit lymphoma of the male breast: a case report. Journal of Medical Case Reports. 14(1). 245–245. 5 indexed citations
9.
10.
Nagel, Inga, Marius Bartels, Johannes Duell, et al.. (2017). Hematopoietic stem cell involvement in BCR-ABL1–positive ALL as a potential mechanism of resistance to blinatumomab therapy. Blood. 130(18). 2027–2031. 63 indexed citations
11.
Rohde, Marius, Bettina R. Bonn, Martin Zimmermann, et al.. (2017). Relevance of ID3-TCF3-CCND3 pathway mutations in pediatric aggressive B-cell lymphoma treated according to the non-Hodgkin Lymphoma Berlin-Frankfurt-Münster protocols. Haematologica. 102(6). 1091–1098. 32 indexed citations
12.
Vater, Inga, Manuel Montesinos‐Rongen, Matthias Schlesner, et al.. (2014). The mutational pattern of primary lymphoma of the central nervous system determined by whole-exome sequencing. Leukemia. 29(3). 677–685. 105 indexed citations
13.
Frühwald, Michael C., Martin Hasselblatt, Kornelius Kerl, et al.. (2014). Identifying molecular markers for the sensitive detection of residual atypical teratoid rhabdoid tumor cells. Cancer Genetics. 207(9). 390–397. 8 indexed citations
14.
Hotz, Alrun, Yorck Hellenbroich, Jürgen Sperner, et al.. (2013). Microdeletion 5q14.3 and anomalies of brain development. American Journal of Medical Genetics Part A. 161(9). 2124–2133. 25 indexed citations
15.
Ramzi, Mani, et al.. (2013). Primary adenocarcinoma of the thymus: an immunohistochemical and molecular study with review of the literature. BMC Clinical Pathology. 13(1). 17–17. 25 indexed citations
16.
Hasselblatt, Martin, Astrid Jeibmann, Florian Oyen, et al.. (2012). High‐resolution genomic analysis suggests the absence of recurrent genomic alterations other than SMARCB1 aberrations in atypical teratoid/rhabdoid tumors. Genes Chromosomes and Cancer. 52(2). 185–190. 101 indexed citations
17.
Weichert, J., Andreas Schröer, Reiner Siebert, et al.. (2011). A 1 Mb-sized microdeletion Xq26.2 encompassing the GPC3 gene in a fetus with Simpson–Golabi–Behmel syndrome. European Journal of Medical Genetics. 54(3). 343–347. 14 indexed citations
18.
Nagel, Inga, Takashi Akasaka, Wolfram Klapper, et al.. (2009). Identification of the gene encoding cyclin E1 (CCNE1) as a novel IGH translocation partner in t(14;19)(q32;q12) in diffuse large B-cell lymphoma. Haematologica. 94(7). 1020–1023. 15 indexed citations
19.
Lenz, Georg, Inga Nagel, Reiner Siebert, et al.. (2007). Aberrant immunoglobulin class switch recombination and switch translocations in activated B cell–like diffuse large B cell lymphoma. The Journal of Experimental Medicine. 204(3). 633–643. 139 indexed citations
20.
Nagel, Inga, et al.. (1977). [Quantitative studies on the comparability of neurohistological results in rat cortical pyramids produced by different Golgi methods (author's transl)].. PubMed. 18(5). 423–9. 9 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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