Mark Sugi

644 citations
35 papers · 370 · h-index 9

Impact in

    • Chemokine receptors and signaling
    • Pancreatic and Hepatic Oncology Research
    • Cancer Immunotherapy and Biomarkers

Papers in

Mark Sugi

32 papers receiving 361 citations

Peers

Mark Sugi
Comparison fields: 5 of 67
  • Transplantation 20
  • Oncology 113
  • Immunology 61
  • Emergency Medicine 23
  • Obstetrics and Gynecology 18
Replace Alessandro Del Gobbo with:
Alessandro Del Gobbo Italy
Betty Cheung United Kingdom
Francesco Grimaldi Italy
Meerim Park South Korea
WY Au China
Roberta Della Pepa Italy
Vivek Upadhyay United States
M Kawashima Japan
Ankur Varma United States
H-S Chi South Korea
Mark Sugi relative to Alessandro Del Gobbo Italy Alessandro Del Gobbo's profile →
Citations per field
00.5×8.7×
Alessandro Del Gobbo · 1×
Citations per year

Countries citing papers authored by Mark Sugi

Since Specialization
Citations

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

Fields of papers citing papers by Mark Sugi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011148
2 201947
3 201826
4 201722
5 202117
6 202116
7 202011
8 201711
9 202010
10 20216
11 20195
12 20205
13 20205
14 20224
15 20204
16 20234
17 20203
18 20243
19 20203
20 20213

About Mark Sugi

Mark Sugi is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health and Oncology, having authored 35 papers that have together received 370 indexed citations. Recurring topics across this work include Radiology practices and education (4 papers), Advanced X-ray and CT Imaging (3 papers), Chemokine receptors and signaling (3 papers), Radiation Dose and Imaging (3 papers), Innovations in Medical Education (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Endometriosis Research and Treatment (2 papers) and Ectopic Pregnancy Diagnosis and Management (2 papers). The work is most often cited by research in Transplantation (20 citations), Oncology (113 citations), Immunology (61 citations), Emergency Medicine (23 citations) and Obstetrics and Gynecology (18 citations). Mark Sugi has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Christine O. Menias, Gang Li, Aihua Li, Guido Eibl, O. Joe Hines, Marie D. Burdick, Jeffrey Kaplan, Jonathan C. King, Vay Liang W. Go and Aune Moro. Their work appears in journals such as Radiographics, Abdominal Radiology, Pancreas, British Journal of Radiology and Academic Radiology.

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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