Mark A. Healy

1.3k citations
25 papers · 908 · h-index 12

Impact in

  • Oncology top 5%
    • Polyomavirus and related diseases
    • Colorectal Cancer Surgical Treatments
    • Antenna Design and Analysis

Papers in

Mark A. Healy

24 papers receiving 897 citations

Peers

Mark A. Healy
Comparison fields: 5 of 68
  • Oncology 424
  • Aerospace Engineering 160
  • Health Informatics 5
  • Surgery 135
  • Pulmonary and Respiratory Medicine 96
Replace David S. Chan with:
David S. Chan United Kingdom
Brian Moloney Ireland
Hsin‐Hsu Wu Taiwan
Chi‐Hung Cheng Taiwan
Qiuju Deng China
Boris Jansen‐Winkeln Germany
Shishun Zhao China
C. Schneider United Kingdom
Wei-Chou Chang Taiwan
Åsmund Avdem Fretland Norway
Mark A. Healy relative to David S. Chan United Kingdom David S. Chan's profile →
Citations per field
00.5×4.4×
David S. Chan · 1×
Citations per year

Countries citing papers authored by Mark A. Healy

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Healy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016356
2 2016158
3 201666
4 201658
5 201753
6 201134
7 201723
8 201818
9 201616
10 201715
11 201514
12 201112
13 201611
14 201811
15 202010
16 201610
17 20169
18 20199
19 20149
20 20166

About Mark A. Healy

Mark A. Healy is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 908 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (2 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Cutaneous Melanoma Detection and Management (2 papers), Medical Image Segmentation Techniques (2 papers), Gastric Cancer Management and Outcomes (2 papers), AI in cancer detection (2 papers), Esophageal Cancer Research and Treatment (2 papers) and Venous Thromboembolism Diagnosis and Management (1 paper). The work is most often cited by research in Oncology (424 citations), Aerospace Engineering (160 citations), Health Informatics (5 citations), Surgery (135 citations) and Pulmonary and Respiratory Medicine (96 citations). Mark A. Healy has collaborated with scholars based in United States and Japan. Frequent co-authors include Sandra L. Wong, Justin B. Dimick, Paul Nghiem, Kelly L. Harms, Christopher K. Bichakjian, Timothy M. Johnson, Arthur J. Sober, Darrell A. Campbell, Andrew J. Mullard and Jason Pradarelli. Their work appears in journals such as Annals of Surgical Oncology, JAMA Surgery, Journal of Surgical Oncology, Annals of Surgery and The American Journal of Surgery.

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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