James Lamb

1.8k citations
66 papers · 1.1k · h-index 20

Impact in

Papers in

    • Advanced Radiotherapy Techniques 27
    • Medical Imaging Techniques and Applications 11
    • Advanced MRI Techniques and Applications 7
    • Radiomics and Machine Learning in Medical Imaging 6
    • MRI in cancer diagnosis 4

James Lamb

61 papers receiving 1.1k citations

Peers

James Lamb
Comparison fields: 5 of 67
  • Radiation 602
  • Radiology, Nuclear Medicine and Imaging 448
  • Ophthalmology 113
  • Pulmonary and Respiratory Medicine 298
  • Hepatology 62
Replace Barbara Dobler with:
Barbara Dobler Germany
Frank‐André Siebert Germany
Zheng Chang United States
Amar U. Kishan United States
Joachim Bogner Austria
William Preston United States
Richard Emery United States
Les T. Yonemoto United States
Jack Venselaar Netherlands
Ryosuke Kohno Japan
James Lamb relative to Barbara Dobler Germany Barbara Dobler's profile →
Citations per field
00.5×
Barbara Dobler · 1×
Citations per year

Countries citing papers authored by James Lamb

Since Specialization
Citations

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

Fields of papers citing papers by James Lamb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018118
2 201799
3 201698
4 201183
5 201453
6 201752
7 201248
8 201746
9 197540
10 201736
11 201633
12 202131
13 201130
14 202027
15 201726
16 202123
17 202222
18 201820
19 201319
20 201919

About James Lamb

James Lamb is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Ophthalmology and Surgery, having authored 66 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (27 papers), Medical Imaging Techniques and Applications (11 papers), Ocular Oncology and Treatments (8 papers), Advanced MRI Techniques and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), MRI in cancer diagnosis (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers) and Lung Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Radiation (602 citations), Radiology, Nuclear Medicine and Imaging (448 citations), Ophthalmology (113 citations), Pulmonary and Respiratory Medicine (298 citations) and Hepatology (62 citations). James Lamb has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Daniel A. Low, Minsong Cao, Percy Lee, Nzhde Agazaryan, Michael L. Steinberg, Yingli Yang, David H. Thomas, Ann C. Raldow, Ke Sheng and Mitchell Kamrava. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, British Journal of Radiology, Physics in Medicine and Biology and Advances in Radiation Oncology.

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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