Mason Marks

21 papers receiving 555 citations

Mason Marks's Hit Papers

AI-Generated Medical Advice—GPT and Beyond 2023 · 226 citations
2260+1+2Years since publication50100150200

Peers

Mason Marks
Comparison fields: 5 of 99
  • Health Informatics 212
  • Clinical Psychology 162
  • Toxicology 16
  • Applied Psychology 21
  • Information Systems and Management 30
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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 →
2023226
2 202398
3 202142
4 202237
5 202129
6
Artificial Intelligence Based Suicide Prediction
201925
7 202425
8 202513
9 201912
10 20239
11 20219
12 20238
13
Emergent Medical Data: Health Information Inferred by Artificial Intelligence
20207
14 20237
15
Controlled Substance Regulation for the COVID-19 Mental Health Crisis
20205
16 20245
17 20234
18
Psychedelic Medicine for Mental Illness and Substance Use Disorders: Overcoming Social and Legal Obstacles
20174
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 569 indexed citations. Recurring topics across this work include Psychedelics and Drug Studies (12 papers), Chemical synthesis and alkaloids (8 papers), Diverse academic research themes (4 papers), Artificial Intelligence in Healthcare and Education (3 papers), Biomedical Ethics and Regulation (2 papers), Cannabis and Cannabinoid Research (2 papers), Ethics in Clinical Research (2 papers) and Digital Transformation in Law (2 papers). The work is most often cited by research in Health Informatics (212 citations), Clinical Psychology (162 citations), Toxicology (16 citations), Applied Psychology (21 citations) and Information Systems and Management (30 citations). Mason Marks has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Claudia E. Haupt, I. Glenn Cohen, Carmel Shachar, Rebecca Weintraub Brendel, Mackenzie Graham, Huw Davies, Rachel Douglas‐Jones, Abhishek Mishra, Nina Hallowell and Robin Pierce. Their work appears in journals such as JAMA, Nature Medicine, The American Journal of Bioethics, New England Journal of Medicine and JAMA Psychiatry.

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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