Mill Etienne

857 citations
39 papers · 385 · 1 hit paper · h-index 11

Impact in

Papers in

Mill Etienne

34 papers receiving 371 citations

Mill Etienne's Hit Papers

Artificial Intelligence and Healthcare: A Journey through History, Present Innovations, and Future Possibilities 2024 · 74 citations
740+1Years since publication204060

Peers

Mill Etienne
Comparison fields: 5 of 94
  • Health Informatics 47
  • Endocrinology 36
  • Internal Medicine 18
  • Neurology 57
  • Virology 18
Replace Mark Wu with:
Mark Wu United States
Gleb Danilov Russia
M. A. Rehman Siddiqui Pakistan
Eun Jin Ha South Korea
Christine Lee United States
Jayaraj Mymbilly Balakrishnan India
Miguel Mayo‐Yáñez Spain
Kristin Corey United States
Nicolas Engrand France
Jessica K. De Freitas United States
Mill Etienne relative to Mark Wu United States Mark Wu's profile →
Citations per field
00.5×10×15×18×
Mark Wu · 1×
Citations per year

Countries citing papers authored by Mill Etienne

Since Specialization
Citations

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

Fields of papers citing papers by Mill Etienne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Artificial Intelligence and Healthcare: A Journey through History, Present Innovations, and Future Possibilities
Hit paper breakdown →
202474
2 201039
3 201639
4 200531
5 201024
6 202522
7 202321
8 201721
9 201019
10 202517
11 201912
12 20069
13 20258
14 20247
15 20247
16 20116
17 20255
18 20244
19 20073
20 20242

About Mill Etienne

Mill Etienne is a scholar working on Public Health, Environmental and Occupational Health, Neurology, Epidemiology, Cardiology and Cardiovascular Medicine and General Health Professions, having authored 39 papers that have together received 385 indexed citations. Recurring topics across this work include Traumatic Brain Injury Research (5 papers), Disaster Response and Management (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Streptococcal Infections and Treatments (2 papers), Bone health and osteoporosis research (2 papers), Bone health and treatments (2 papers), Art Therapy and Mental Health (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Health Informatics (47 citations), Endocrinology (36 citations), Internal Medicine (18 citations), Neurology (57 citations) and Virology (18 citations). Mill Etienne has collaborated with scholars based in United States, Pakistan and Türkiye. Frequent co-authors include Rahim Hirani, Raj K. Tiwari, Joseph A. Miller, Hyunmi Choi, Stanley R. Resor, Önder Ergönül, Thomas P. Bleck, Joshua M. Lewis, W. Allen Hauser and Heidi M. Munger Clary. Their work appears in journals such as Neurology, Life, Biomedicines, Current Problems in Cardiology and Journal of Stroke and Cerebrovascular Diseases.

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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