T. Naumann

6.8k citations
67 papers · 1.9k indexed · h-index 22

Impact in

Papers in

T. Naumann

62 papers receiving 1.9k citations

Peers

T. Naumann
Comparison fields: 5 of 138
  • Developmental Neuroscience 406
  • Cellular and Molecular Neuroscience 879
  • Behavioral Neuroscience 164
  • Neurology 238
  • Endocrinology, Diabetes and Metabolism 321
Replace David R. Riddle with:
David R. Riddle United States
Rosanna Parlato Germany
Tammy Dellovade United States
Anne‐Laurence Boutillier France
Judy K. Brunso‐Bechtold United States
Jacqueline E. Lee United States
Hoonkyo Suh United States
Heather McKay United States
J. Pérez Spain
M. Elizabeth Forbes United States
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Citations per field
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Citations per year

Countries citing papers authored by T. Naumann

Since Specialization
Citations

This map shows the geographic impact of T. 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 T. Naumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Naumann more than expected).

Fields of papers citing papers by T. Naumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004352
2 2009165
3 2002128
4 2012107
5 199784
6 199277
7 199262
8 199460
9 200056
10 201355
11 199449
12 201447
13 199643
14 199839
15 201435
16 199634
17 199231
18 199529
19 201127
20 199425

About T. Naumann

T. Naumann is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Molecular Biology, Cognitive Neuroscience and Neurology, having authored 67 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (17 papers), Neuroscience and Neuropharmacology Research (16 papers), Nerve injury and regeneration (11 papers), Memory and Neural Mechanisms (9 papers), Flood Risk Assessment and Management (7 papers), Manufacturing Process and Optimization (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Neuropeptides and Animal Physiology (7 papers). The work is most often cited by research in Developmental Neuroscience (406 citations), Cellular and Molecular Neuroscience (879 citations), Behavioral Neuroscience (164 citations), Neurology (238 citations) and Endocrinology, Diabetes and Metabolism (321 citations). T. Naumann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Michael Frotscher, Thomas Deller, Gary M. Peterson, Oliver Kretz, Carola A. Haas, Uwe Wehrenberg, Shanting Zhao, Hubertus Jarry, Gabriele M. Rune and Lars Fester. Their work appears in journals such as The Journal of Comparative Neurology, European Journal of Neuroscience, Journal of Neuroscience, Brain Research and Neuroscience.

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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