Samuel Ford

54 papers receiving 1.2k citations

Peers

Samuel Ford
Comparison fields: 5 of 96
  • Hematology 294
  • Pulmonary and Respiratory Medicine 396
  • Genetics 110
  • Gastroenterology 50
  • Oncology 242
Replace Deborah Belchis with:
Deborah Belchis United States
Yoshiaki Katano Japan
Fumihiko Nakamura Japan
John Meenan United Kingdom
D. Maroeska W. M. te Loo Netherlands
John P. Whitecar United States
N. Peter Zauber United States
I Altorjay Hungary
Alexandros Mitsios Greece
Cristina Royo Spain
Samuel Ford relative to Deborah Belchis United States Deborah Belchis's profile →
Citations per field
00.5×5.8×
Deborah Belchis · 1×
Citations per year

Countries citing papers authored by Samuel Ford

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017141
2 2012117
3 2012104
4 201270
5 201367
6 198753
7 201847
8 202045
9 201742
10 201442
11 200342
12 201034
13 201634
14 201933
15 201631
16 201823
17 201819
18 200418
19 200718
20 202118

About Samuel Ford

Samuel Ford is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cardiology and Cardiovascular Medicine, Epidemiology and Neurology, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (24 papers), Cardiac tumors and thrombi (7 papers), Vascular Tumors and Angiosarcomas (6 papers), Neuroendocrine Tumor Research Advances (5 papers), Neurofibromatosis and Schwannoma Cases (4 papers), Iron Metabolism and Disorders (4 papers), Soft tissue tumor case studies (3 papers) and Bone Tumor Diagnosis and Treatments (2 papers). The work is most often cited by research in Hematology (294 citations), Pulmonary and Respiratory Medicine (396 citations), Genetics (110 citations), Gastroenterology (50 citations) and Oncology (242 citations). Samuel Ford has collaborated with scholars based in United Kingdom, Italy and Canada. Frequent co-authors include Max Almond, Anant Desai, Chris Tselepis, Alessandro Gronchi, David Gourevitch, Tariq Iqbal, Matthew Bedford, Des R. Richardson, Peyman Obeidy and Patric J. Jansson. Their work appears in journals such as European Journal of Surgical Oncology, Annals of Surgical Oncology, Journal of Surgical Oncology, British journal of surgery and International 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.

Explore authors with similar magnitude of impact