Mason Marks

21 papers receiving 505 citations

Mason Marks's Hit Papers

AI-Generated Medical Advice—GPT and Beyond 2023 · 212 citations
2120+1+2Years since publication50100150200

Peers

Mason Marks
Comparison fields: 5 of 106
  • Health Informatics 219
  • Clinical Psychology 149
  • Family Practice 15
  • Health Information Management 25
  • Toxicology 16
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Countries citing papers authored by Mason Marks

Since Specialization
Citations

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

Fields of papers citing papers by Mason Marks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Mason Marks, 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 Mason Marks Line = papers co-authored together Mason Marks links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
AI-Generated Medical Advice—GPT and Beyond
Hit paper breakdown →
2023212
2 202383
3 202142
4 202233
5 202126
6
Artificial Intelligence Based Suicide Prediction
201925
7 202419
8 201912
9 202510
10 20219
11 20238
12
Emergent Medical Data: Health Information Inferred by Artificial Intelligence
20207
13 20237
14
Controlled Substance Regulation for the COVID-19 Mental Health Crisis
20205
15 20235
16
Psychedelic Medicine for Mental Illness and Substance Use Disorders: Overcoming Social and Legal Obstacles
20174
17 20234
18 20244
19
Biosupremacy: Big Data, Antitrust, and Monopolistic Power Over Human Behavior
20202
20 20221

About Mason Marks

Mason Marks is a scholar working on Clinical Psychology, Organic Chemistry, Information Systems and Management, Pharmacology and Health Informatics, having authored 21 papers that have together received 519 indexed citations. Recurring topics across this work include Psychedelics and Drug Studies (12 papers), Chemical synthesis and alkaloids (9 papers), Diverse academic research themes (4 papers), Artificial Intelligence in Healthcare and Education (3 papers), Ethics and Social Impacts of AI (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Complementary and Alternative Medicine Studies (2 papers) and Digital Transformation in Law (2 papers). The work is most often cited by research in Health Informatics (219 citations), Clinical Psychology (149 citations), Family Practice (15 citations), Health Information Management (25 citations) and Toxicology (16 citations). Mason Marks has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Claudia E. Haupt, I. Glenn Cohen, Carmel Shachar, Rebecca Weintraub Brendel, Huw Davies, Phoebe Friesen, Rachel Douglas‐Jones, Robin Pierce, Abhishek Mishra and Nina Hallowell. Their work appears in journals such as JAMA, Nature Medicine, Neuropharmacology, JAMA Psychiatry and New England Journal of Medicine.

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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