Peter A. Neumann

1.1k citations
14 papers · 824 · h-index 14

Impact in

Papers in

Peter A. Neumann

14 papers receiving 799 citations

Peers

Peter A. Neumann
Comparison fields: 5 of 98
  • Cellular and Molecular Neuroscience 521
  • Cognitive Neuroscience 249
  • Behavioral Neuroscience 34
  • Endocrinology, Diabetes and Metabolism 131
  • Molecular Biology 353
Replace M. Schnizler with:
M. Schnizler Germany
Georgiann Collinsworth United States
He Chun China
Riikka Mäkelä Finland
Karen A. Kirkpatrick United Kingdom
Sergiy Sylantyev United Kingdom
Federica Bertaso France
Telma Quintela Portugal
Katherine Allen Australia
Peter A. Neumann relative to M. Schnizler Germany M. Schnizler's profile →
Citations per field
00.5×6.2×
M. Schnizler · 1×
Citations per year

Countries citing papers authored by Peter A. Neumann

Since Specialization
Citations

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

Fields of papers citing papers by Peter A. Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2013237
2 1981149
3 201973
4 201673
5 198842
6 197339
7 201736
8 202233
9 201932
10 201027
11 201825
12 201321
13 201320
14 201317

About Peter A. Neumann

Peter A. Neumann is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Endocrinology, Diabetes and Metabolism and Materials Chemistry, having authored 14 papers that have together received 824 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (10 papers), Neuroscience and Neuropharmacology Research (8 papers), Receptor Mechanisms and Signaling (5 papers), Memory and Neural Mechanisms (3 papers), Neural dynamics and brain function (3 papers), Enzyme Structure and Function (2 papers), Biochemical and Molecular Research (2 papers) and Alkaline Phosphatase Research Studies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (521 citations), Cognitive Neuroscience (249 citations), Behavioral Neuroscience (34 citations), Endocrinology, Diabetes and Metabolism (131 citations) and Molecular Biology (353 citations). Peter A. Neumann has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Yan Dong, Oliver M. Schlüter, Yanhua H. Huang, Masago Ishikawa, Nicholas Graziane, Milton J. Schlesinger, Ralph Bradshaw, Susan R. Sesack, F. Descalzi Cancedda and Lowell H. Ericsson. Their work appears in journals such as Journal of Neuroscience, Nature Neuroscience, Neuron, The EMBO Journal and Biological Psychiatry.

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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