Simon Spichak

8 papers receiving 673 citations

Simon Spichak's Hit Papers

Large language models propagate race-based medicine 2023 · 212 citations
2120+1+2Years since publication50100150200

Peers

Simon Spichak
Comparison fields: 5 of 103
  • Health Informatics 116
  • Biological Psychiatry 125
  • Behavioral Neuroscience 37
  • Gastroenterology 48
  • Pharmacy 27
Replace Meysam Pirbaglou with:
Meysam Pirbaglou Canada
Varsha D. Badal United States
Nich Wattanasin United States
Jonathan Bickel United States
Amelia J. McGuinness Australia
Bojing Liu Sweden
Snezana Kusljic Australia
Dariusz Juchnowicz Poland
Maria Pia Riccio Italy
Wangting Li China
Simon Spichak relative to Meysam Pirbaglou Canada Meysam Pirbaglou's profile →
Citations per field
00.5×10×20×29×
Meysam Pirbaglou · 1×
Citations per year

Countries citing papers authored by Simon Spichak

Since Specialization
Citations

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

Fields of papers citing papers by Simon Spichak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Large language models propagate race-based medicine
Hit paper breakdown →
2023212
2 2018144
3 2019142
4 202193
5 202148
6 201724
7 201818
8 20192

About Simon Spichak

Simon Spichak is a scholar working on Molecular Biology, Biological Psychiatry, General Health Professions, Neurology and Physiology, having authored 8 papers that have together received 683 indexed citations. Recurring topics across this work include Gut microbiota and health (5 papers), Tryptophan and brain disorders (3 papers), Gastrointestinal motility and disorders (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Diet and metabolism studies (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Maternal Mental Health During Pregnancy and Postpartum (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Health Informatics (116 citations), Biological Psychiatry (125 citations), Behavioral Neuroscience (37 citations), Gastroenterology (48 citations) and Pharmacy (27 citations). Simon Spichak has collaborated with scholars based in Ireland, Australia and United States. Frequent co-authors include John F. Cryan, Timothy G. Dinan, Jesutofunmi A. Omiye, Jenna Lester, Veronica Rotemberg, Roxana Daneshjou, Gerard Clarke, Minal Jaggar, Kieran Rea and Martin G. Codagnone. Their work appears in journals such as npj Digital Medicine, Neuroscience & Biobehavioral Reviews, Brain Behavior & Immunity - Health, Biological Psychiatry and Human Brain Mapping.

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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