Mark Macfarlane

1.1k citations
14 papers · 942 · h-index 13

Impact in

  • Surgery top 10%
    • Surgical Simulation and Training
    • Hernia repair and management
    • Minimally Invasive Surgical Techniques
    • Soft Robotics and Applications

Papers in

    • Surgical Simulation and Training 6
    • Minimally Invasive Surgical Techniques 1
    • Cancer Immunotherapy and Biomarkers 3
    • Colorectal Cancer Surgical Treatments 1

Mark Macfarlane

14 papers receiving 868 citations

Peers

Mark Macfarlane
Comparison fields: 5 of 69
  • Surgery 282
  • Biomedical Engineering 228
  • Mechanical Engineering 205
  • Emergency Medicine 39
  • Oncology 100
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Citations per field
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Citations per year

Countries citing papers authored by Mark Macfarlane

Since Specialization
Citations

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

Fields of papers citing papers by Mark Macfarlane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1999278
2 1995116
3 199490
4 199973
5 199863
6 199961
7 199459
8 200848
9 199542
10 200837
11
Use of preoperative fine-needle aspiration in patients undergoing reoperation for primary hyperparathyroidism.
199433
12
Immersive surgical robotic interfaces.
199917
13 200617
14 20008

About Mark Macfarlane

Mark Macfarlane is a scholar working on Surgery, Oncology, Mechanical Engineering, Immunology and Emergency Medicine, having authored 14 papers that have together received 942 indexed citations. Recurring topics across this work include Surgical Simulation and Training (6 papers), Teleoperation and Haptic Systems (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immunotoxicology and immune responses (2 papers), Chemotherapy-induced organ toxicity mitigation (1 paper), Neuroendocrine Tumor Research Advances (1 paper), Minimally Invasive Surgical Techniques (1 paper) and Colorectal Cancer Surgical Treatments (1 paper). The work is most often cited by research in Surgery (282 citations), Biomedical Engineering (228 citations), Mechanical Engineering (205 citations), Emergency Medicine (39 citations) and Oncology (100 citations). Mark Macfarlane has collaborated with scholars based in United States. Frequent co-authors include Mika N. Sinanan M. D, Blake Hannaford A, Jacob Rosén, Donald Edward White, Richard L. White, Jeffrey Allen Norton, Timothy W. Bax, Robert T. Jensen, Michael Shane McNevin and H. Richard Alexander. Their work appears in journals such as The American Journal of Surgery, Cancer, Surgery, Journal of Clinical Oncology and IEEE Transactions on Biomedical Engineering.

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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