Simon Neumann

579 total citations
12 papers, 412 citations indexed

About

Simon Neumann is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Simon Neumann has authored 12 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Cancer Research. Recurrent topics in Simon Neumann's work include Cell death mechanisms and regulation (4 papers), interferon and immune responses (3 papers) and NF-κB Signaling Pathways (3 papers). Simon Neumann is often cited by papers focused on Cell death mechanisms and regulation (4 papers), interferon and immune responses (3 papers) and NF-κB Signaling Pathways (3 papers). Simon Neumann collaborates with scholars based in Germany, United States and Switzerland. Simon Neumann's co-authors include Christoph Borner, Lukas Peintner, Franz Brümmer, Ralph O. Schill, A. Reuner, Ulrich Maurer, Bernd Kammerer, Manuel Schlimpert, Peter Scheurich and Simon Lagies and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Genes & Development.

In The Last Decade

Simon Neumann

11 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Neumann Germany 9 185 89 69 60 60 12 412
Suchitra Mohanty India 8 194 1.0× 163 1.8× 113 1.6× 46 0.8× 80 1.3× 17 453
Kevin Lu United States 10 251 1.4× 31 0.3× 70 1.0× 15 0.3× 67 1.1× 21 470
Elizabeth S. Bruinsma United States 17 292 1.6× 41 0.5× 99 1.4× 31 0.5× 35 0.6× 26 576
Rossella Della Morte Italy 14 171 0.9× 52 0.6× 54 0.8× 9 0.1× 79 1.3× 23 524
Félix Gil-Dones Spain 16 330 1.8× 89 1.0× 30 0.4× 12 0.2× 87 1.4× 28 615
Assel Biyasheva United States 7 181 1.0× 140 1.6× 25 0.4× 16 0.3× 43 0.7× 11 606
Alhousseynou Sall Canada 10 297 1.6× 88 1.0× 66 1.0× 14 0.2× 58 1.0× 13 540
Xiaomeng An China 11 323 1.7× 84 0.9× 60 0.9× 11 0.2× 23 0.4× 20 460
David Piñeiro Spain 16 468 2.5× 61 0.7× 27 0.4× 18 0.3× 75 1.3× 25 674
Barbara Pratscher Austria 14 313 1.7× 111 1.2× 183 2.7× 8 0.1× 47 0.8× 36 551

Countries citing papers authored by Simon Neumann

Since Specialization
Citations

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

Fields of papers citing papers by Simon Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Neumann

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

All Works

12 of 12 papers shown
1.
Lagies, Simon, Manuel Schlimpert, Simon Neumann, et al.. (2020). Cells grown in three-dimensional spheroids mirror in vivo metabolic response of epithelial cells. Communications Biology. 3(1). 246–246. 90 indexed citations
2.
Faletti, Laura, Lukas Peintner, Simon Neumann, et al.. (2018). TNFα sensitizes hepatocytes to FasL-induced apoptosis by NFκB-mediated Fas upregulation. Cell Death and Disease. 9(9). 909–909. 45 indexed citations
3.
Neumann, Simon, Lukas Peintner, Jüri Habicht, et al.. (2018). Identification of a novel anoikis signalling pathway using the fungal virulence factor gliotoxin. Nature Communications. 9(1). 3524–3524. 43 indexed citations
4.
Singh, Prafull Kumar, Daniel Frank, Susanne Kirschnek, et al.. (2017). Dynein light chain 1 induces assembly of large Bim complexes on mitochondria that stabilize Mcl-1 and regulate apoptosis. Genes & Development. 31(17). 1754–1769. 39 indexed citations
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Neumann, Simon, et al.. (2015). How do viruses control mitochondria-mediated apoptosis?. Virus Research. 209. 45–55. 54 indexed citations
7.
Neumann, Simon, Jan Hasenauer, Nadine Pollak, & Peter Scheurich. (2014). Dominant Negative Effects of Tumor Necrosis Factor (TNF)-related Apoptosis-inducing Ligand (TRAIL) Receptor 4 on TRAIL Receptor 1 Signaling by Formation of Heteromeric Complexes. Journal of Biological Chemistry. 289(23). 16576–16587. 43 indexed citations
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Neumann, Simon, et al.. (2012). A minimal mathematical model for the initial molecular interactions of death receptor signalling. Mathematical Biosciences & Engineering. 9(3). 663–683. 3 indexed citations
11.
Neumann, Simon, A. Reuner, Franz Brümmer, & Ralph O. Schill. (2009). DNA damage in storage cells of anhydrobiotic tardigrades. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 153(4). 425–429. 62 indexed citations
12.
Schill, Ralph O., Simon Neumann, A. Reuner, & Franz Brümmer. (2008). Detection of DNA damage with single-cell gel electrophoresis in anhydrobiotic tardigrades. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 151(1). S32–S32. 3 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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