Jane Neumann

8.3k citations
76 papers · 6.8k · h-index 40

Impact in

Papers in

Jane Neumann

76 papers receiving 6.6k citations

Peers

Jane Neumann
Comparison fields: 5 of 136
  • Cognitive Neuroscience 3.4k
  • General Decision Sciences 257
  • Psychiatry and Mental health 1k
  • Cellular and Molecular Neuroscience 543
  • Complementary and alternative medicine 287
Replace José V. Pardo with:
José V. Pardo United States
Tobias Sommer Germany
Mario Liotti A United States
Predrag Petrović Sweden
Yasumasa Okamoto Japan
Gordon Winocur Canada
George Bush United States
Andrew David Lawrence United Kingdom
Dieter Vaitl Germany
Guido Alexander van Wingen Netherlands
Jane Neumann relative to José V. Pardo United States José V. Pardo's profile →
Citations per field
00.5×2×4×6×7.4×
José V. Pardo · 1×
Citations per year

Countries citing papers authored by Jane Neumann

Since Specialization
Citations

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

Fields of papers citing papers by Jane Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007539
2 2008516
3 2005511
4 2007359
5 2006326
6 2010310
7 2011308
8 2009281
9 2012221
10 2012159
11 2009158
12 2014148
13 2011147
14 2012145
15 2007137
16 2006134
17 2011131
18 2014107
19 2006103
20 2013100

About Jane Neumann

Jane Neumann is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 76 papers that have together received 6.8k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (28 papers), Functional Brain Connectivity Studies (15 papers), Dementia and Cognitive Impairment Research (9 papers), Neurotransmitter Receptor Influence on Behavior (8 papers), Advanced MRI Techniques and Applications (7 papers), Eating Disorders and Behaviors (6 papers), Neurological disorders and treatments (4 papers) and Regulation of Appetite and Obesity (3 papers). The work is most often cited by research in Cognitive Neuroscience (3.4k citations), General Decision Sciences (257 citations), Psychiatry and Mental health (1k citations), Cellular and Molecular Neuroscience (543 citations) and Complementary and alternative medicine (287 citations). Jane Neumann has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include D. Yves von Cramon, Matthias Leopold Schroeter, Arno Villringer, Birte U. Forstmann, Markus Ullsperger, Annette Horstmann, Tilmann A. Klein, Jan Derrfuß, Eric‐Jan Wagenmakers and Evelyn C. Ferstl. Their work appears in journals such as NeuroImage, Human Brain Mapping, Cortex, Journal of Magnetic Resonance Imaging and PLoS ONE.

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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