Mark Sujan

2.9k citations
89 papers · 1.4k indexed · h-index 22

Mark Sujan

85 papers receiving 1.3k citations

Peers

Mark Sujan
Comparison fields: 5 of 132
  • Medical Laboratory Technology 200
  • Health Informatics 163
  • Radiological and Ultrasound Technology 321
  • Emergency Medical Services 421
  • Health Information Management 190
Replace Robyn Clay‐Williams with:
Robyn Clay‐Williams Australia
Carl Macrae United Kingdom
Melissa Baysari Australia
Mecit Can Emre Simsekler United Arab Emirates
Denham L. Phipps United Kingdom
A. Joy Rivera-Rodriguez United States
Laura G. Militello United States
Steven Yule United States
B.-T. Karsh United States
Patricia C. Dykes United States
Mark Sujan relative to Robyn Clay‐Williams Australia Robyn Clay‐Williams's profile →
Citations per field
00.5×2.7×
Robyn Clay‐Williams · 1×
Citations per year

Countries citing papers authored by Mark Sujan

Since Specialization
Citations

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

Fields of papers citing papers by Mark Sujan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20244
3 20242
4 20241
5 20233
6 20236
7 202328
8 202225
9 202254
10 202218
11 202227
12 20217
13 201915
14 201936
15 201974
16 201742
17 201120
18
How safe are clinical systems
20102
19 20105
20 20081

About Mark Sujan

Mark Sujan is a scholar working on Medical Laboratory Technology, Health Informatics, Emergency Medical Services, Radiological and Ultrasound Technology and Health Information Management, having authored 89 papers that have together received 1.4k indexed citations. Recurring topics across this work include Patient Safety and Medication Errors (28 papers), Quality and Safety in Healthcare (24 papers), Occupational Health and Safety Research (19 papers), Medical Malpractice and Liability Issues (13 papers), Artificial Intelligence in Healthcare and Education (13 papers), Safety Systems Engineering in Autonomy (10 papers), Emergency and Acute Care Studies (10 papers) and Healthcare Technology and Patient Monitoring (9 papers). The work is most often cited by research in Medical Laboratory Technology (200 citations), Health Informatics (163 citations), Radiological and Ultrasound Technology (321 citations), Emergency Medical Services (421 citations) and Health Information Management (190 citations). Mark Sujan has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Huayi Huang, Philip Scott, Ibrahim Habli, Niels Peek, Matthew W Cooke, Jeffrey Braithwaite, Peter Spurgeon, Dominic Furniss, Nick J. Reynolds and Sean White. Their work appears in journals such as Safety Science, Reliability Engineering & System Safety, BMJ Quality & Safety, Applied Ergonomics and International Journal for Quality in Health Care.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026