Paul E. Gottschall

8.4k citations
86 papers · 7.2k indexed · 1 hit paper · h-index 47

Paul E. Gottschall

86 papers receiving 7.0k citations

Hit Papers

Aβ peptide vaccination prevents memory loss in an animal ...1.2k20002026200820174008001.2k

Peers

Paul E. Gottschall
Comparison fields: 5 of 127
  • Behavioral Neuroscience 737
  • Neurology 1.3k
  • Biological Psychiatry 372
  • Cellular and Molecular Neuroscience 2.3k
  • Reproductive Medicine 812
Replace Gennaro Schettini with:
Gennaro Schettini Italy
Kevin R. Lynch United States
Bianca Marchetti Italy
Oliver Kretz Germany
Douglas E. Brenneman United States
Patrick Kitabgi France
Wolfgang Schmid Germany
Keiko Mizuno Japan
John E. Pintar United States
Markku Pelto‐Huikko Finland
Paul E. Gottschall relative to Gennaro Schettini Italy Gennaro Schettini's profile →
Citations per field
00.5×4.3×
Gennaro Schettini · 1×
Citations per year

Countries citing papers authored by Paul E. Gottschall

Since Specialization
Citations

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

Fields of papers citing papers by Paul E. Gottschall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul E. Gottschall. 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 Paul E. Gottschall. The network helps show where Paul E. Gottschall may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201568
2 2012105
3 201022
4 2010100
5 200921
6 200849
7 200818
8 200546
9 200265
10 199931
11 1997107
12 1996189
13 199421
14 1994120
15 199371
16 1990115
17 198939
18 198849
19 1988186
20 19871

About Paul E. Gottschall

Paul E. Gottschall is a scholar working on Behavioral Neuroscience, Cancer Research and Neurology, having authored 86 papers that have together received 7.2k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (20 papers), Proteoglycans and glycosaminoglycans research (15 papers), Neuropeptides and Animal Physiology (14 papers), Alzheimer's disease research and treatments (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Glycosylation and Glycoproteins Research (10 papers), S100 Proteins and Annexins (10 papers) and Stress Responses and Cortisol (10 papers). The work is most often cited by research in Behavioral Neuroscience (737 citations), Neurology (1.3k citations) and Biological Psychiatry (372 citations). Paul E. Gottschall has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Akira Arimura, Suman Deb, Ichiro Tatsuno, Goro Katsuura, Marcia N. Gordon, Xin Yu, J. Meites, Akira Uehara, Dave Morgan and Donna M. Wilcock. Their work appears in journals such as Endocrinology, Neuroendocrinology, Biochemical and Biophysical Research Communications, Journal of Neurochemistry 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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