Daniel Nagel

1.4k total citations
24 papers, 879 citations indexed

About

Daniel Nagel is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Daniel Nagel has authored 24 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Immunology and 7 papers in Cancer Research. Recurrent topics in Daniel Nagel's work include NF-κB Signaling Pathways (7 papers), Protein Structure and Dynamics (5 papers) and Lymphoma Diagnosis and Treatment (5 papers). Daniel Nagel is often cited by papers focused on NF-κB Signaling Pathways (7 papers), Protein Structure and Dynamics (5 papers) and Lymphoma Diagnosis and Treatment (5 papers). Daniel Nagel collaborates with scholars based in Germany, Tajikistan and Israel. Daniel Nagel's co-authors include Daniel Krappmann, Michelle Vincendeau, Andrea C. Eitelhuber, Kamyar Hadian, Georg Lenz, Michael Grau, Bernd Dörken, Peter Lenz, Gerhard Stock and P. S. STEYN and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Daniel Nagel

23 papers receiving 861 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Nagel Germany 13 482 311 305 213 164 24 879
Michelle Vincendeau Germany 20 710 1.5× 312 1.0× 320 1.0× 242 1.1× 187 1.1× 33 1.2k
Mayuko Omori United States 10 883 1.8× 122 0.4× 76 0.2× 294 1.4× 74 0.5× 14 1.2k
Vitaly Sedlyarov Austria 16 792 1.6× 204 0.7× 253 0.8× 286 1.3× 42 0.3× 18 1.2k
Nicodème Paul France 17 628 1.3× 213 0.7× 126 0.4× 118 0.6× 24 0.1× 30 953
Brian B. Haines United States 17 948 2.0× 188 0.6× 217 0.7× 322 1.5× 41 0.3× 39 1.4k
Celia Fontanillo Spain 16 835 1.7× 229 0.7× 101 0.3× 136 0.6× 128 0.8× 27 1.2k
Paolo Bonvini Italy 16 721 1.5× 101 0.3× 105 0.3× 229 1.1× 126 0.8× 34 1.0k
Nadine S. Jahchan United States 15 861 1.8× 203 0.7× 183 0.6× 656 3.1× 47 0.3× 29 1.5k
Melinda Halász Ireland 17 724 1.5× 196 0.6× 321 1.1× 162 0.8× 40 0.2× 41 1.3k
Catherine Chabot Canada 17 526 1.1× 122 0.4× 119 0.4× 110 0.5× 77 0.5× 25 833

Countries citing papers authored by Daniel Nagel

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Nagel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Nagel

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Nagel. A scholar is included among the top collaborators of Daniel 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 Daniel Nagel. Daniel 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.
Nagel, Daniel & Tristan Bereau. (2025). Fokker–Planck Score Learning: Efficient Free-Energy Estimation under Periodic Boundary Conditions. The Journal of Physical Chemistry B. 129(45). 11780–11790. 1 indexed citations
2.
Nagel, Daniel & Gerhard Stock. (2023). msmhelper: A Python package for Markov state modelingof protein dynamics. The Journal of Open Source Software. 8(85). 5339–5339. 4 indexed citations
3.
Nagel, Daniel, et al.. (2023). Selecting Features for Markov Modeling: A Case Study on HP35. Journal of Chemical Theory and Computation. 19(11). 3391–3405. 10 indexed citations
4.
5.
Vincendeau, Michelle, Kamyar Hadian, Ana C. Messias, et al.. (2016). Inhibition of Canonical NF-κB Signaling by a Small Molecule Targeting NEMO-Ubiquitin Interaction. Scientific Reports. 6(1). 18934–18934. 26 indexed citations
6.
Nagel, Daniel & Daniel Krappmann. (2015). Detection of Recombinant and Cellular MALT1 Paracaspase Activity. Methods in molecular biology. 1280. 239–246. 2 indexed citations
7.
Nagel, Daniel, et al.. (2015). Combinatorial BTK and MALT1 inhibition augments killing of CD79 mutant diffuse large B cell lymphoma. Oncotarget. 6(39). 42232–42242. 25 indexed citations
8.
Nagel, Daniel, Michelle Vincendeau, Andrea C. Eitelhuber, & Daniel Krappmann. (2014). Mechanisms and consequences of constitutive NF-κB activation in B-cell lymphoid malignancies. Oncogene. 33(50). 5655–5665. 107 indexed citations
9.
Guire, Conor Mc, Peter Wieghofer, Jens Staal, et al.. (2014). Pharmacological inhibition of MALT1 protease activity protects mice in a mouse model of multiple sclerosis. Journal of Neuroinflammation. 11(1). 124–124. 61 indexed citations
10.
Eitelhuber, Andrea C., Oliver Vosyka, Daniel Nagel, et al.. (2014). Activity-Based Probes for Detection of Active MALT1 Paracaspase in Immune Cells and Lymphomas. Chemistry & Biology. 22(1). 129–138. 34 indexed citations
11.
Vincendeau, Michelle, Daniel Nagel, Jara Kerstin Brenke, Ruth Brack‐Werner, & Kamyar Hadian. (2013). Heterogenous nuclear ribonucleoprotein Q increases protein expression from HIV-1 Rev-dependent transcripts. Virology Journal. 10(1). 151–151. 11 indexed citations
12.
Lammens, Katja, Daniel Nagel, Michelle Vincendeau, et al.. (2013). Structural Analysis of Phenothiazine Derivatives as Allosteric Inhibitors of the MALT1 Paracaspase. Angewandte Chemie International Edition. 52(39). 10384–10387. 68 indexed citations
13.
Nagel, Daniel & Daniel Krappmann. (2013). Measurement of Endogenous MALT1 Activity. BIO-PROTOCOL. 3(14).
14.
Nagel, Daniel, Stefani Spranger, Michelle Vincendeau, et al.. (2012). Pharmacologic Inhibition of MALT1 Protease by Phenothiazines as a Therapeutic Approach for the Treatment of Aggressive ABC-DLBCL. Cancer Cell. 22(6). 825–837. 186 indexed citations
15.
Hadian, Kamyar, Tim Wanger, Daniel Nagel, et al.. (2011). NF-κB Essential Modulator (NEMO) Interaction with Linear and Lys-63 Ubiquitin Chains Contributes to NF-κB Activation. Journal of Biological Chemistry. 286(29). 26107–26117. 88 indexed citations
16.
Vincendeau, Michelle, Kamyar Hadian, Ina Rothenaigner, et al.. (2010). Control of HIV replication in astrocytes by a family of highly conserved host proteins with a common Rev-interacting domain (Risp). AIDS. 24(16). 2433–2442. 27 indexed citations
17.
Nagel, Daniel, Matthias Pfeifer, Michael Grau, et al.. (2010). Critical role of PI3K signaling for NF-κB–dependent survival in a subset of activated B-cell–like diffuse large B-cell lymphoma cells. Proceedings of the National Academy of Sciences. 108(1). 272–277. 111 indexed citations
18.
Hadian, Kamyar, Michelle Vincendeau, Daniel Nagel, et al.. (2009). Identification of a Heterogeneous Nuclear Ribonucleoprotein-recognition Region in the HIV Rev Protein. Journal of Biological Chemistry. 284(48). 33384–33391. 31 indexed citations
19.
Nagel, Daniel, P. S. STEYN, & N.P. Ferreira. (1972). Biosynthesis of citreoviridin. Phytochemistry. 11(11). 3215–3218. 12 indexed citations
20.
Nagel, Daniel, P. S. STEYN, & D. B. Scott. (1972). Production of citreoviridin by Penicillium pulvillorum. Phytochemistry. 11(2). 627–630. 25 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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