Steven Oliver

2.3k citations
33 papers · 1.0k · h-index 19

Impact in

Papers in

Steven Oliver

31 papers receiving 1000 citations

Peers

Steven Oliver
Comparison fields: 5 of 87
  • Oncology 396
  • Endocrinology, Diabetes and Metabolism 174
  • Pulmonary and Respiratory Medicine 318
  • Public Health, Environmental and Occupational Health 254
  • Cancer Research 96
Replace Gundula Behrens with:
Gundula Behrens Germany
Jacqueline M. Stouthard Netherlands
Kimberly S. Peairs United States
Rouhi Fazelzad Canada
Matthew Mossanen United States
E. M. I. Williams United Kingdom
İlhan Öztop Türkiye
Dirkje W. Sommeijer Netherlands
Rebecca A. Snyder United States
Els J.�M. Nieveen van Dijkum Netherlands
Steven Oliver relative to Gundula Behrens Germany Gundula Behrens's profile →
Citations per field
00.5×1.5×
Gundula Behrens · 1×
Citations per year

Countries citing papers authored by Steven Oliver

Since Specialization
Citations

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

Fields of papers citing papers by Steven Oliver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001138
2 2003102
3 201487
4 200866
5 200360
6 200449
7 201142
8 201641
9 200341
10 200637
11 200437
12 200435
13 201333
14 201332
15 201731
16 202029
17 201228
18 201921
19 201918
20 200015

About Steven Oliver

Steven Oliver is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (7 papers), Cancer Risks and Factors (7 papers), Prostate Cancer Diagnosis and Treatment (6 papers), Global Cancer Incidence and Screening (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Healthcare Systems and Technology (4 papers), Colorectal Cancer Screening and Detection (4 papers) and Healthcare Policy and Management (3 papers). The work is most often cited by research in Oncology (396 citations), Endocrinology, Diabetes and Metabolism (174 citations), Pulmonary and Respiratory Medicine (318 citations), Public Health, Environmental and Occupational Health (254 citations) and Cancer Research (96 citations). Steven Oliver has collaborated with scholars based in United Kingdom, Qatar and Australia. Frequent co-authors include David Gunnell, Jenny Donovan, Freddie C. Hamdy, David E. Neal, Margaret May, T. J. Peters, Una Macleod, David Gillatt, J. Athene Lane and Miriam J. Johnson. Their work appears in journals such as British Journal of Cancer, Cancer Epidemiology, Cancer Epidemiology Biomarkers & Prevention, International Journal of Cancer and The Journal of Urology.

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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