Alex Smith

2.8k citations
21 papers · 2.1k indexed · h-index 16

Impact in

Papers in

Alex Smith

21 papers receiving 2.0k citations

Peers

Alex Smith
Comparison fields: 5 of 106
  • Pulmonary and Respiratory Medicine 1.0k
  • Cancer Research 400
  • Oncology 595
  • Endocrinology, Diabetes and Metabolism 293
  • Reproductive Medicine 124
Replace Yasuhide Miyoshi with:
Yasuhide Miyoshi Japan
Antoine Valéri France
Shuanzeng Wei United States
Joan Sweet Canada
Martin Spahn Germany
Adele Caldarella Italy
Akira Komiya Japan
Uwe Langsenlehner Austria
Masayuki Takahashi Japan
Rossella Lauria Italy
Alex Smith relative to Yasuhide Miyoshi Japan Yasuhide Miyoshi's profile →
Citations per field
00.5×1.5×2.3×
Yasuhide Miyoshi · 1×
Citations per year

Countries citing papers authored by Alex Smith

Since Specialization
Citations

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

Fields of papers citing papers by Alex Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201134
2 201115
3 200651
4 20058
5 200534
6 2005124
7 200411
8 200464
9 2004423
10 200394
11 200324
12
Variability in response assessment in solid tumors: effect of number of lesions chosen for measurement.
200365
13 200220
14 200249
15
Comprehensive gene expression analysis of prostate cancer reveals distinct transcriptional programs associated with metastatic disease.
2002416
16 2001387
17 2001133
18 200199
19
Hormonal therapy for stage D cancer of the prostate.
19949
20 199034

About Alex Smith

Alex Smith is a scholar working on Statistics and Probability, Reproductive Medicine, Urology, Cancer Research and Obstetrics and Gynecology, having authored 21 papers that have together received 2.1k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Cancer Genomics and Diagnostics (3 papers), Medical Imaging Techniques and Applications (2 papers), Testicular diseases and treatments (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Genetic factors in colorectal cancer (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.0k citations), Cancer Research (400 citations), Oncology (595 citations), Endocrinology, Diabetes and Metabolism (293 citations) and Reproductive Medicine (124 citations). Alex Smith has collaborated with scholars based in United States. Frequent co-authors include Jaya M. Satagopan, William L. Gerald, Victor E. Reuter, Peter T. Scardino, Howard I. Scher, Éva Latulippe, Madhu Mazumdar, Murray F. Brennan, Kevin C. Conlon and Denis H. Y. Leung. Their work appears in journals such as Urology, Cancer, Journal of Clinical Oncology, Journal of Clinical Epidemiology and Controlled Clinical Trials.

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

Rankless by CCL
2026