M.L. Graham

503 citations
19 papers · 364 · h-index 9

Impact in

Papers in

M.L. Graham

17 papers receiving 325 citations

Peers

M.L. Graham
Comparison fields: 5 of 36
  • Radiation 84
  • Emergency Medicine 54
  • Surgery 147
  • Pulmonary and Respiratory Medicine 103
  • Cancer Research 39
Replace S. Swift with:
S. Swift United Kingdom
Thiruvenkatasamy Dhurairaj United States
Á.M. Soriano Castrejón Spain
Joseph Uddo United States
V.S. Mangona United States
Jinxing Yu United States
Christoph Berliner Germany
Aaron Kian Ti Tong Singapore
Jia-Yang Lu China
Sean Cavanaugh United States
M.L. Graham relative to S. Swift United Kingdom S. Swift's profile →
Citations per field
00.5×4.9×
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Citations per year

Countries citing papers authored by M.L. Graham

Since Specialization
Citations

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

Fields of papers citing papers by M.L. Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.L. Graham. 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 M.L. Graham. The network helps show where M.L. Graham may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 199789
2 200556
3 199445
4 199143
5 199940
6 199434
7 199515
8 199614
9 199210
10 19975
11
On-line image verification in radiation therapy: an early USA experience.
19934
12 19934
13 20171
14 19911
15 20051
16 20031
17 19891
18 19970
19 19970

About M.L. Graham

M.L. Graham is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Radiation, Surgery and Otorhinolaryngology, having authored 19 papers that have together received 364 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (8 papers), Advanced Radiotherapy Techniques (7 papers), Lung Cancer Treatments and Mutations (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Head and Neck Cancer Studies (2 papers), Effects of Radiation Exposure (2 papers), Advances in Oncology and Radiotherapy (2 papers) and Esophageal Cancer Research and Treatment (2 papers). The work is most often cited by research in Radiation (84 citations), Emergency Medicine (54 citations), Surgery (147 citations), Pulmonary and Respiratory Medicine (103 citations) and Cancer Research (39 citations). M.L. Graham has collaborated with scholars based in United States and Canada. Frequent co-authors include Simon Bicknell, Arnold Herskovic, Chunlin Qian, Lawrence R. Coia, Walter Kocha, Laurie E. Gaspar, John Wong, Carlos A. Perez, William B. Harms and James A. Purdy. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Lung Cancer, Cancer, Radiotherapy and Oncology and American Journal of Roentgenology.

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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