Greg Fellows

403 citations
13 papers · 207 · h-index 8

Impact in

    • Actinomycetales infections and treatment
    • Glioma Diagnosis and Treatment

Papers in

Greg Fellows

11 papers receiving 202 citations

Peers

Greg Fellows
Comparison fields: 5 of 69
  • Microbiology 19
  • Genetics 43
  • Radiology, Nuclear Medicine and Imaging 88
  • Cancer Research 31
  • Computational Mathematics 1
Replace Qiu-xiang Du with:
Qiu-xiang Du China
Meri R.J. Varkila Netherlands
Ankita Gupta India
Michelle A. Jorden United States
Kotaro Yoshioka Japan
Harumichi Itoh Japan
Péter Szabó Hungary
Julia Kahn United States
Carol Diamond United States
Greg Fellows relative to Qiu-xiang Du China Qiu-xiang Du's profile →
Citations per field
00.5×
Qiu-xiang Du · 1×
Citations per year

Countries citing papers authored by Greg Fellows

Since Specialization
Citations

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

Fields of papers citing papers by Greg Fellows

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201065
2 200934
3 201327
4 200825
5 200719
6 201013
7 201412
8 20177
9 20143
10 20221
11 20211
12 20070
13 20240

About Greg Fellows

Greg Fellows is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Genetics, Cellular and Molecular Neuroscience and Epidemiology, having authored 13 papers that have together received 207 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (4 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Bacterial Infections and Vaccines (2 papers), Glioma Diagnosis and Treatment (2 papers), Advanced NMR Techniques and Applications (1 paper), Medical Imaging Techniques and Applications (1 paper), Actinomycetales infections and treatment (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Microbiology (19 citations), Genetics (43 citations), Radiology, Nuclear Medicine and Imaging (88 citations), Cancer Research (31 citations) and Computational Mathematics (1 citation). Greg Fellows has collaborated with scholars based in United Kingdom, Zambia and United States. Frequent co-authors include Franklyn A. Howe, Alan J. Wright, John R. Griffiths, B. Anthony Bell, Martin Wilson, Andrew Martin, Dominick J. O. McIntyre, Kirstie S. Opstad, B. A. Bell and Marios C. Papadopoulos. Their work appears in journals such as Child s Nervous System, Magnetic Resonance in Medicine, Acta Neurochirurgica, Molecular Cancer and Journal of Magnetic Resonance Imaging.

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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