Daniel Neumann

1.6k citations
31 papers · 1.1k · h-index 14

Impact in

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

Papers in

Daniel Neumann

28 papers receiving 1.1k citations

Peers

Daniel Neumann
Comparison fields: 5 of 116
  • Structural Biology 74
  • Biophysics 151
  • Molecular Biology 767
  • Clinical Biochemistry 64
  • Sensory Systems 30
Replace Eric Wait with:
Eric Wait United States
Thomas Burgoyne United Kingdom
Dora Mahečić Switzerland
Corinne Prévostel France
Esther García Spain
Brad J. Marsh Australia
Sara Barozzi Italy
Takako Kogure Japan
Karol Fiedorczuk United States
Uthpala Seneviratne United States
Daniel Neumann relative to Eric Wait United States Eric Wait's profile →
Citations per field
00.5×
Eric Wait · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016226
2 2003207
3 2011134
4 2010105
5 200899
6 200952
7 201539
8 200634
9 201028
10 202228
11 201925
12 201720
13 201519
14 201417
15 201013
16 202311
17 20179
18 20148
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 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (6 papers), ATP Synthase and ATPases Research (4 papers), Advanced Fluorescence Microscopy Techniques (4 papers), RNA Research and Splicing (4 papers), Advanced MRI Techniques and Applications (4 papers), Lysosomal Storage Disorders Research (3 papers), RNA and protein synthesis mechanisms (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Structural Biology (74 citations), Biophysics (151 citations), Molecular Biology (767 citations), Clinical Biochemistry (64 citations) and Sensory Systems (30 citations). Daniel Neumann has collaborated with scholars based in Germany, Australia and United Kingdom. Frequent co-authors include Stefan Jakobs, Christian A. Wurm, Stefan W. Hell, Christian Brüser, Daniel C. Jans, Alexander Egner, Johanna Bückers, Lars Kastrup, Benedikt Westermann and Katrin Altmann. Their work appears in journals such as Magnetic Resonance in Medicine, Magnetic Resonance Materials in Physics Biology and Medicine, Acta Neuropathologica Communications, Clinical Cancer Research and Nature Communications.

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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