D. G. McLeod

473 citations
12 papers · 383 · h-index 8

Impact in

Papers in

D. G. McLeod

12 papers receiving 363 citations

Peers

D. G. McLeod
Comparison fields: 5 of 65
  • Sensory Systems 52
  • Pulmonary and Respiratory Medicine 201
  • Cancer Research 62
  • Endocrinology, Diabetes and Metabolism 57
  • Nutrition and Dietetics 48
Replace Aleksandra Babicheva with:
Aleksandra Babicheva United States
Dorothée Ruffieux-Daidié Switzerland
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Steven G. Wolfe United States
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Citations per field
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Citations per year

Countries citing papers authored by D. G. McLeod

Since Specialization
Citations

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

Fields of papers citing papers by D. G. McLeod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. G. McLeod. 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 D. G. McLeod. The network helps show where D. G. McLeod may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
PSGR, a novel prostate-specific gene with homology to a G protein-coupled receptor, is overexpressed in prostate cancer.
2000166
2
Prognostic factors in stage D2 prostate cancer; important implications for future trials: results of a cooperative intergroup study (INT.0036). The National Cancer Institute Intergroup Study #0036.
199474
3 199359
4 200125
5 200725
6 199213
7 20118
8 20037
9 20063
10 20061
11 20061
12 20081

About D. G. McLeod

D. G. McLeod is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Surgery, having authored 12 papers that have together received 383 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (10 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Cancer, Lipids, and Metabolism (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Cancer Genomics and Diagnostics (1 paper), Bone health and treatments (1 paper), Machine Learning in Materials Science (1 paper) and Olfactory and Sensory Function Studies (1 paper). The work is most often cited by research in Sensory Systems (52 citations), Pulmonary and Respiratory Medicine (201 citations), Cancer Research (62 citations), Endocrinology, Diabetes and Metabolism (57 citations) and Nutrition and Dietetics (48 citations). D. G. McLeod has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Judd W. Moul, Naga Shanmugam, Meena Augustus, Saurabh Kumar Srivastava, Vasantha Srikantan, Sesterhenn Ia, Keith D. Carter, Zhengyun Zou, F. Andrew Dorr and Michael Benson. Their work appears in journals such as Journal of Clinical Oncology, Cancer, Prostate Cancer and Prostatic Diseases and PubMed.

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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