S. Fergus

507 citations
9 papers · 382 · h-index 5

Impact in

  • Radiation top 10%
    • Advanced Radiotherapy Techniques
    • Inflammatory Biomarkers in Disease Prognosis
    • Cancer Immunotherapy and Biomarkers

Papers in

S. Fergus

9 papers receiving 381 citations

Peers

S. Fergus
Comparison fields: 5 of 37
  • Radiation 48
  • Oncology 123
  • Pulmonary and Respiratory Medicine 105
  • Genetics 35
  • Radiology, Nuclear Medicine and Imaging 60
Replace Nathan R. Bennion with:
Nathan R. Bennion United States
Jacob S. Witt United States
L.J. Djuric Serbia
Comron Hassanzadeh United States
Antonella Fontana Italy
Matthew J. Ferris United States
E. Donovan Canada
Ethem Nezih Oral Türkiye
Dong Soo Lee South Korea
F. Meacci Italy
S. Fergus relative to Nathan R. Bennion United States Nathan R. Bennion's profile →
Citations per field
00.5×1.5×2.2×
Nathan R. Bennion · 1×
Citations per year

Countries citing papers authored by S. Fergus

Since Specialization
Citations

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

Fields of papers citing papers by S. Fergus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2016205
2 201582
3 201874
4 20148
5 20145
6 20084
7 20142
8 20161
9 20111

About S. Fergus

S. Fergus is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology, Radiation and Infectious Diseases, having authored 9 papers that have together received 382 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Lung Cancer Treatments and Mutations (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper), Lung Cancer Research Studies (1 paper), Advanced Radiotherapy Techniques (1 paper), Prostate Cancer Diagnosis and Treatment (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Radiation (48 citations), Oncology (123 citations), Pulmonary and Respiratory Medicine (105 citations), Genetics (35 citations) and Radiology, Nuclear Medicine and Imaging (60 citations). S. Fergus has collaborated with scholars based in United States, Italy and Brazil. Frequent co-authors include D. Mullen, Clifford G. Robinson, Christina K. Speirs, T.A. DeWees, Maria A. Velez, Sana Rehman, Marco Trovò, Jeffrey D. Bradley, Jian Campian and Jiayi Huang. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, World Journal of Urology and Journal of Thoracic Oncology.

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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