Eva A. Naumann

2.0k citations
12 papers · 1.1k · h-index 7

Impact in

Papers in

Eva A. Naumann

9 papers receiving 1.1k citations

Peers

Eva A. Naumann
Comparison fields: 5 of 84
  • Cell Biology 624
  • Cellular and Molecular Neuroscience 434
  • Biophysics 131
  • Cognitive Neuroscience 424
  • Endocrine and Autonomic Systems 71
Replace Timothy Dunn with:
Timothy Dunn United States
Chao-Tsung Yang United States
David Schoppik United States
Aristides B. Arrenberg Germany
Owen Randlett United States
Isaac H. Bianco United Kingdom
Johann H. Bollmann Germany
Minoru Koyama United States
Peixin Zhu Switzerland
Fumi Kubo Japan
Eva A. Naumann relative to Timothy Dunn United States Timothy Dunn's profile →
Citations per field
00.5×1.5×
Timothy Dunn · 1×
Citations per year

Countries citing papers authored by Eva A. Naumann

Since Specialization
Citations

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

Fields of papers citing papers by Eva A. Naumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva A. Naumann. 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 Eva A. Naumann. The network helps show where Eva A. Naumann may publish in the future.

Co-authors

The 25 scholars most cited alongside Eva A. Naumann, 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 Eva A. Naumann Line = papers co-authored together Eva A. Naumann links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2015311
2 2016221
3 2016181
4 2016174
5 2010146
6 202023
7 202218
8 20254
9 20252
10 19781
11 20250
12 20260

About Eva A. Naumann

Eva A. Naumann is a scholar working on Cell Biology, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology and Biophysics, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (8 papers), Neural dynamics and brain function (7 papers), Retinal Development and Disorders (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Neurobiology and Insect Physiology Research (2 papers), Advanced Surface Polishing Techniques (1 paper) and Electron and X-Ray Spectroscopy Techniques (1 paper). The work is most often cited by research in Cell Biology (624 citations), Cellular and Molecular Neuroscience (434 citations), Biophysics (131 citations), Cognitive Neuroscience (424 citations) and Endocrine and Autonomic Systems (71 citations). Eva A. Naumann has collaborated with scholars based in United States, United Kingdom and Portugal. Frequent co-authors include Florian Engert, Timothy Dunn, Alexander F. Schier, Clemens Riegler, James E. Fitzgerald, Misha B. Ahrens, Owen Randlett, Christoph Gebhardt, Filippo Del Bene and Adam R. Kampff. Their work appears in journals such as eLife, Science Robotics, Nature Methods, Current Biology 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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