David S. Lamb

2.5k citations
41 papers · 1.7k · h-index 16

Impact in

Papers in

David S. Lamb

39 papers receiving 1.6k citations

Peers

David S. Lamb
Comparison fields: 5 of 66
  • Pulmonary and Respiratory Medicine 1.2k
  • Radiation 120
  • Endocrinology, Diabetes and Metabolism 170
  • Cancer Research 106
  • Oncology 156
Replace Keen‐Hun Tai with:
Keen‐Hun Tai Australia
Chris Atkinson New Zealand
Phillip Rubin United States
P. Kil Netherlands
John Matthews Australia
Sharon Salenius United States
Svein Inge Helle Norway
Larysa Rydzewska United Kingdom
Guilherme Godoy United States
Raymond Lance United States
David S. Lamb relative to Keen‐Hun Tai Australia Keen‐Hun Tai's profile →
Citations per field
00.5×1.5×
Keen‐Hun Tai · 1×
Citations per year

Countries citing papers authored by David S. Lamb

Since Specialization
Citations

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

Fields of papers citing papers by David S. Lamb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007371
2 2011300
3 2005287
4 2014117
5 201871
6 200870
7 201161
8 201246
9 200543
10 201036
11 201235
12 201034
13 201632
14 200722
15 200920
16 200815
17 201513
18 200911
19 20097
20 20137

About David S. Lamb

David S. Lamb is a scholar working on Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health, Surgery, Clinical Psychology and Radiology, Nuclear Medicine and Imaging, having authored 41 papers that have together received 1.7k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (24 papers), Prostate Cancer Treatment and Research (11 papers), Organ Donation and Transplantation (5 papers), Grief, Bereavement, and Mental Health (3 papers), Bladder and Urothelial Cancer Treatments (2 papers), Organ and Tissue Transplantation Research (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.2k citations), Radiation (120 citations), Endocrinology, Diabetes and Metabolism (170 citations), Cancer Research (106 citations) and Oncology (156 citations). David S. Lamb has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include James W. Denham, Allison Steigler, David Joseph, Keen‐Hun Tai, Nigel Spry, Chris Atkinson, David Christie, Sandra Turner, Catherine D’Este and John Matthews. Their work appears in journals such as The Lancet Oncology, Radiotherapy and Oncology, Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics and Pathology.

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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