Simon Spichak

8 papers receiving 633 citations

Simon Spichak's Hit Papers

Large language models propagate race-based medicine 2023 · 186 citations
1860+1+2Years since publication50100150

Peers

Simon Spichak
Comparison fields: 5 of 105
  • Health Informatics 117
  • Biological Psychiatry 145
  • Behavioral Neuroscience 43
  • Gastroenterology 55
  • Pharmacy 30
Replace Laura Mählmann with:
Laura Mählmann Switzerland
Mihaela Fadgyas Stănculete Romania
Varsha D. Badal United States
Snezana Kusljic Australia
Shu‐xian Xu China
Ning Yuan China
Min Jhon South Korea
Amelia J. McGuinness Australia
Mohamed Elsayed Germany
Xiangqun Wang China
Simon Spichak relative to Laura Mählmann Switzerland Laura Mählmann's profile →
Citations per field
00.5×10×15×20×23.4×
Laura Mählmann · 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 →
2023186
2 2018142
3 2019139
4 202190
5 202145
6 201722
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 644 indexed citations. Recurring topics across this work include Gut microbiota and health (5 papers), Tryptophan and brain disorders (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Gastrointestinal motility and disorders (2 papers), Diet and metabolism studies (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Health, psychology, and well-being (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Health Informatics (117 citations), Biological Psychiatry (145 citations), Behavioral Neuroscience (43 citations), Gastroenterology (55 citations) and Pharmacy (30 citations). Simon Spichak has collaborated with scholars based in Ireland, Australia and Canada. Frequent co-authors include John F. Cryan, Timothy G. Dinan, Veronica Rotemberg, Jenna Lester, Jesutofunmi A. Omiye, Roxana Daneshjou, Gerard Clarke, Kieran Rea, Minal Jaggar and Martin G. Codagnone. Their work appears in journals such as Frontiers in Neuroendocrinology, Biological Psychiatry, Neuroscience & Biobehavioral Reviews, npj Digital Medicine and Brain Behavior & Immunity - Health.

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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