Stephen Schultz

33 papers receiving 1.3k citations

Peers

Stephen Schultz
Comparison fields: 5 of 126
  • Biological Psychiatry 51
  • Cognitive Neuroscience 361
  • Psychiatry and Mental health 245
  • Virology 49
  • Infectious Diseases 170
Replace Margaretha Viljoen with:
Margaretha Viljoen South Africa
Andrew A. Bremer United States
Mary M. Gerkovich United States
Khaled Saad Egypt
D.K. Subbakrishna India
Karen L. Petersen South Africa
Lars Henning Pedersen Denmark
Paola Suárez United States
Barbara S. Koppel United States
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Citations per field
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Margaretha Viljoen · 1×
Citations per year

Countries citing papers authored by Stephen Schultz

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018211
2 1988151
3 1980123
4 2006107
5 202293
6 200872
7 201261
8 201051
9 201751
10 199044
11 199141
12 201039
13 199139
14 201037
15 201125
16 202123
17 201221
18 201019
19 198915
20 200914

About Stephen Schultz

Stephen Schultz is a scholar working on Cognitive Neuroscience, Pharmacology, Infectious Diseases, Health, Toxicology and Mutagenesis and Epidemiology, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (10 papers), Cannabis and Cannabinoid Research (8 papers), HIV/AIDS Research and Interventions (3 papers), Pancreatic function and diabetes (3 papers), HIV, Drug Use, Sexual Risk (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Child Nutrition and Feeding Issues (2 papers) and Long-Term Effects of COVID-19 (2 papers). The work is most often cited by research in Biological Psychiatry (51 citations), Cognitive Neuroscience (361 citations), Psychiatry and Mental health (245 citations), Virology (49 citations) and Infectious Diseases (170 citations). Stephen Schultz has collaborated with scholars based in United States, India and Brazil. Frequent co-authors include Dario Siniscalco, Nicola Antonucci, Anna Lisa Brigida, Deborah L. Wingard, Rand Stoneburner, Caroline A. Macera, Natacha Akshoomoff, Hillary Klonoff‐Cohen, Michael Marmor and Jo L. Sotheran. Their work appears in journals such as Sexually Transmitted Diseases, Autism, International Journal of Molecular Sciences, Acta Neurobiologiae Experimentalis and AIDS.

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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