Sean Hacking

516 citations
40 papers · 292 · 1 hit paper · h-index 9

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Colorectal Cancer Surgical Treatments
    • Cancer Immunotherapy and Biomarkers

Papers in

Sean Hacking

37 papers receiving 288 citations

Sean Hacking's Hit Papers

Benefits, limits, and risks of ChatGPT in medicine 2025 · 27 citations
270Years since publication510152025

Peers

Sean Hacking
Comparison fields: 5 of 58
  • Health Informatics 24
  • Oncology 86
  • Obstetrics and Gynecology 23
  • Biological Psychiatry 7
  • Emergency Medicine 21
Replace Minghao Li with:
Minghao Li China
Tomoya Tago Japan
Mei‐Fang Lin China
Nabil Mansour United States
Joost Nederend Netherlands
Sangjun Yoo South Korea
Melissa McGettigan United States
Shahab Shayesteh United States
Giacomo Avesani Italy
Anne-Noëlle Frix Belgium
Sean Hacking relative to Minghao Li China Minghao Li's profile →
Citations per field
00.5×2×3×4×4.8×
Minghao Li · 1×
Citations per year

Countries citing papers authored by Sean Hacking

Since Specialization
Citations

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

Fields of papers citing papers by Sean Hacking

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202051
2
Benefits, limits, and risks of ChatGPT in medicine
Hit paper breakdown →
202527
3 202015
4 202113
5 202012
6 201912
7 201911
8 201910
9 20229
10 20258
11 20238
12 20208
13 20198
14 20218
15 20227
16 20217
17 20196
18 20246
19 20216
20 20206

About Sean Hacking

Sean Hacking is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 40 papers that have together received 292 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Cancer Cells and Metastasis (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Breast Lesions and Carcinomas (4 papers), Colorectal Cancer Screening and Detection (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Breast Cancer Treatment Studies (3 papers) and Colorectal Cancer Surgical Treatments (3 papers). The work is most often cited by research in Health Informatics (24 citations), Oncology (86 citations), Obstetrics and Gynecology (23 citations), Biological Psychiatry (7 citations) and Emergency Medicine (21 citations). Sean Hacking has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Mansoor Nasim, Taisia Vitkovski, Rebecca Thomas, Dongling Wu, Yihong Wang, Vanesa Bijol, Zhen Wang, Sharon X. Liang, Hafeez Ul Hassan Virk and Benjamin S. Glicksberg. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Applied immunohistochemistry & molecular morphology, Scientific Reports, Journal of Pathology Informatics and Pathology - Research and Practice.

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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