Daniel Neumann

1.6k citations
32 papers · 1.2k · h-index 15

Impact in

    • Advanced Electron Microscopy Techniques and Applications
  • Biophysics top 2%
    • Advanced Fluorescence Microscopy Techniques

Papers in

Daniel Neumann

31 papers receiving 1.1k citations

Peers

Daniel Neumann
Comparison fields: 5 of 115
  • Structural Biology 77
  • Biophysics 156
  • Molecular Biology 763
  • Clinical Biochemistry 66
  • Sensory Systems 27
Replace Dora Mahečić with:
Dora Mahečić Switzerland
Steven J. Kolodziej United States
Corinne Prévostel France
Ruijie Liu United States
Sara Barozzi Italy
Brad J. Marsh Australia
Alex Laude United Kingdom
Esther García Spain
Takako Kogure Japan
Karol Fiedorczuk United States
Daniel Neumann relative to Dora Mahečić Switzerland Dora Mahečić's profile →
Citations per field
00.5×10×13.5×
Dora Mahečić · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel Neumann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Neumann Line = papers co-authored together Daniel Neumann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016234
2 2003212
3 2011139
4 2010112
5 2008101
6 200956
7 201541
8 200634
9 202230
10 201028
11 201926
12 201721
13 201520
14 201418
15 201014
16 202311
17 201710
18 20149
19 20188
20 20197

About Daniel Neumann

Daniel Neumann is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Biophysics, Physiology and Cellular and Molecular Neuroscience, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (6 papers), Advanced Fluorescence Microscopy Techniques (4 papers), RNA Research and Splicing (4 papers), ATP Synthase and ATPases Research (4 papers), Advanced MRI Techniques and Applications (4 papers), RNA and protein synthesis mechanisms (3 papers), Lysosomal Storage Disorders Research (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Structural Biology (77 citations), Biophysics (156 citations), Molecular Biology (763 citations), Clinical Biochemistry (66 citations) and Sensory Systems (27 citations). Daniel Neumann has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Stefan Jakobs, Christian A. Wurm, Stefan W. Hell, Christian Brüser, Daniel C. Jans, Alexander Egner, Johanna Bückers, Lars Kastrup, Benjamin Harke and Marcel A. Lauterbach. Their work appears in journals such as Magnetic Resonance in Medicine, Nature Communications, Circulation, Journal of Neuropathology & Experimental Neurology and Current Opinion in Toxicology.

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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