M.J. Scott

1.4k citations
41 papers · 1.0k · h-index 16

Impact in

Papers in

M.J. Scott

40 papers receiving 998 citations

Peers

M.J. Scott
Comparison fields: 5 of 112
  • Pulmonary and Respiratory Medicine 302
  • Hematology 101
  • Surgery 279
  • Radiology, Nuclear Medicine and Imaging 126
  • Genetics 51
Replace Juno Deguchi with:
Juno Deguchi Japan
Hong‐Wei Gao Taiwan
Masayoshi Yamamoto Japan
Carol Wong Hong Kong
Mohammad Qadura Canada
Syed M. Quadri United States
Bock Lim Australia
Maria Melachrinou Greece
Patricia M. Fernández United States
M.J. Scott relative to Juno Deguchi Japan Juno Deguchi's profile →
Citations per field
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Citations per year

Countries citing papers authored by M.J. Scott

Since Specialization
Citations

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

Fields of papers citing papers by M.J. Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.J. Scott. 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 M.J. Scott. The network helps show where M.J. Scott may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Decreased vascular smooth muscle cell density in medial degeneration of human abdominal aortic aneurysms.
1997386
2 200975
3 200252
4 201852
5 202144
6 198744
7 201135
8
An observational cohort study of patients with newly diagnosed digital ulcer disease secondary to systemic sclerosis registered in the EUSTAR database.
201534
9 199229
10 199428
11 200627
12 200724
13 199220
14 201720
15 201719
16 199019
17 202213
18 200711
19 201610
20 201410

About M.J. Scott

M.J. Scott is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Hematology, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Photoacoustic and Ultrasonic Imaging (7 papers), Ultrasound and Hyperthermia Applications (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Ultrasound Imaging and Elastography (5 papers), Hemophilia Treatment and Research (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers) and Protein purification and stability (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (302 citations), Hematology (101 citations), Surgery (279 citations), Radiology, Nuclear Medicine and Imaging (126 citations) and Genetics (51 citations). M.J. Scott has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Samuel A. Wickline, Robert W. Thompson, Dennis R. Holmes, Shixiong Liao, Angel López‐Candales, Louis V. Avioli, Steve L. Martin, Christopher S. Hall, Christopher J. Duff and Sue Hutchinson. Their work appears in journals such as mAbs, Haemophilia, British Journal of Haematology, Journal of Neuropathology & Experimental Neurology and BMJ Open.

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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