Daniel Neumann

1.6k total citations
31 papers, 1.1k citations indexed

About

Daniel Neumann is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biophysics. According to data from OpenAlex, Daniel Neumann has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Biophysics. Recurrent topics in Daniel Neumann's work include Mitochondrial Function and Pathology (6 papers), ATP Synthase and ATPases Research (4 papers) and Advanced MRI Techniques and Applications (4 papers). Daniel Neumann is often cited by papers focused on Mitochondrial Function and Pathology (6 papers), ATP Synthase and ATPases Research (4 papers) and Advanced MRI Techniques and Applications (4 papers). Daniel Neumann collaborates with scholars based in Germany, Australia and United Kingdom. Daniel Neumann's co-authors include Stefan Jakobs, Christian A. Wurm, Stefan W. Hell, Christian Brüser, Daniel C. Jans, Alexander Egner, Johanna Bückers, Lars Kastrup, Katrin Altmann and Benedikt Westermann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Communications.

In The Last Decade

Daniel Neumann

28 papers receiving 1.1k 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 Neumann Germany 14 767 151 99 97 91 31 1.1k
Per Niklas Hedde United States 19 584 0.8× 409 2.7× 76 0.8× 58 0.6× 81 0.9× 45 1.3k
Daniel C. Jans Germany 16 1.1k 1.4× 171 1.1× 109 1.1× 22 0.2× 72 0.8× 23 1.3k
Fred Schaufele United States 31 1.6k 2.1× 215 1.4× 93 0.9× 67 0.7× 138 1.5× 52 2.4k
Eileen J. Kennedy United States 19 894 1.2× 81 0.5× 102 1.0× 29 0.3× 110 1.2× 55 1.2k
Dora Mahečić Switzerland 8 586 0.8× 175 1.2× 90 0.9× 19 0.2× 51 0.6× 9 937
Uthpala Seneviratne United States 13 482 0.6× 263 1.7× 115 1.2× 13 0.1× 69 0.8× 22 965
Eric Wait United States 14 856 1.1× 351 2.3× 108 1.1× 22 0.2× 85 0.9× 24 1.4k
Anna Szymborska Germany 11 1.0k 1.4× 311 2.1× 54 0.5× 24 0.2× 47 0.5× 13 1.5k
Alejandra Leo‐Macías United States 17 700 0.9× 47 0.3× 35 0.4× 237 2.4× 111 1.2× 21 1.0k
Corinne Prévostel France 18 963 1.3× 114 0.8× 96 1.0× 25 0.3× 68 0.7× 31 1.3k

Countries citing papers authored by Daniel Neumann

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Neumann

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Neumann. A scholar is included among the top collaborators of Daniel 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 Daniel Neumann. Daniel Neumann 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.
Venkat, Aarthi, Scott E. Youlten, Beatriz P. San Juan, et al.. (2025). Data from AAnet Resolves a Continuum of Spatially Localized Cell States to Unveil Intratumoral Heterogeneity.
2.
Venkat, Aarthi, Scott E. Youlten, Beatriz P. San Juan, et al.. (2025). AAnet Resolves a Continuum of Spatially Localized Cell States to Unveil Intratumoral Heterogeneity. Cancer Discovery. 15(10). 2139–2165.
3.
Ye, Zheng, et al.. (2025). Extensible Immunofluorescence (ExIF) accessibly generates high-plexity datasets by integrating standard 4-plex imaging data. Nature Communications. 16(1). 4606–4606. 1 indexed citations
4.
Lau, Adeline A., Helen Beard, Keliang Xie, et al.. (2024). Photobiomodulation in the infrared spectrum reverses the expansion of circulating natural killer cells and brain microglial activation in Sanfilippo mice. Journal of Neurochemistry. 168(9). 2791–2813. 1 indexed citations
5.
6.
Hemsley, Kim M., Helen Beard, Glyn Chidlow, et al.. (2023). Repetitive, non-invasive imaging of neurodegeneration, and prevention of it with gene replacement, in mice with Sanfilippo syndrome.. Experimental Neurology. 371. 114610–114610.
7.
Neumann, Daniel, Caroline A. Phillips, Helen M. Palethorpe, et al.. (2023). Quaking isoforms cooperate to promote the mesenchymal phenotype. Molecular Biology of the Cell. 35(2). ar17–ar17. 2 indexed citations
8.
Beard, Helen, Glyn Chidlow, Daniel Neumann, et al.. (2020). Is the eye a window to the brain in Sanfilippo syndrome?. Acta Neuropathologica Communications. 8(1). 194–194. 5 indexed citations
9.
Hocquemiller, Michaël, Kim M. Hemsley, Daniel Neumann, et al.. (2019). AAVrh10 Vector Corrects Disease Pathology in MPS IIIA Mice and Achieves Widespread Distribution of SGSH in Large Animal Brains. Molecular Therapy — Methods & Clinical Development. 17. 174–187. 25 indexed citations
10.
Neumann, Daniel, Gregory J. Goodall, & Philip A. Gregory. (2017). Regulation of splicing and circularisation of RNA in epithelial mesenchymal plasticity. Seminars in Cell and Developmental Biology. 75. 50–60. 20 indexed citations
11.
Goebel, Carsten, V.T. Politano, Neelam Jaiswal, et al.. (2017). Non-animal skin sensitization safety assessments for cosmetic ingredients – What is possible today?. Current Opinion in Toxicology. 5. 46–54. 9 indexed citations
12.
Wurm, Christian A., et al.. (2016). Bax assembles into large ring‐like structures remodeling the mitochondrial outer membrane in apoptosis. The EMBO Journal. 35(4). 402–413. 226 indexed citations
13.
Fischer, Bettina, et al.. (2015). Use of high-throughput RT-qPCR to assess modulations of gene expression profiles related to genomic stability and interactions by cadmium. Archives of Toxicology. 90(11). 2745–2761. 39 indexed citations
14.
Kampf, Thomas, André Fischer, Volker Sturm, et al.. (2011). SAR‐reduced spin‐echo‐based Bloch–Siegert B1+ mapping: BS‐SE‐BURST. Magnetic Resonance in Medicine. 68(2). 529–536. 4 indexed citations
15.
Neumann, Daniel, Johanna Bückers, Lars Kastrup, Stefan W. Hell, & Stefan Jakobs. (2010). Two-color STED microscopy reveals different degrees of colocalization between hexokinase-I and the three human VDAC isoforms. PubMed. 3(1). 4–4. 105 indexed citations
16.
Jakobs, Stefan, Stefan Stoldt, & Daniel Neumann. (2010). Light Microscopic Analysis of Mitochondrial Heterogeneity in Cell Populations and Within Single Cells. Advances in biochemical engineering, biotechnology. 124. 1–19. 13 indexed citations
17.
Boom, Johannes van den, et al.. (2010). A heterodimer of human 3′-phospho-adenosine-5′-phosphosulphate (PAPS) synthases is a new sulphate activating complex. Biochemical and Biophysical Research Communications. 395(3). 420–425. 28 indexed citations
18.
Wurm, Christian A., Daniel Neumann, Roman Schmidt, Alexander Egner, & Stefan Jakobs. (2009). Sample Preparation for STED Microscopy. Methods in molecular biology. 591. 185–199. 52 indexed citations
19.
Altmann, Katrin, et al.. (2008). The class V myosin motor protein, Myo2, plays a major role in mitochondrial motility in Saccharomyces cerevisiae. The Journal of Cell Biology. 181(1). 119–130. 99 indexed citations
20.

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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