M.L. Graham

503 citations
19 papers · 325 indexed · h-index 9

Impact in

Papers in

M.L. Graham

17 papers receiving 302 citations

Peers

M.L. Graham
Comparison fields: 5 of 39
  • Radiation 110
  • Pulmonary and Respiratory Medicine 175
  • Emergency Medicine 49
  • Radiology, Nuclear Medicine and Imaging 91
  • Surgery 157
Replace Sherry C.Y. Ng with:
Sherry C.Y. Ng China
Joseph Uddo United States
Tsuyoshi Kawano Japan
Melahat Garipağaoğlu Türkiye
Garry McDermott United Kingdom
Patrick Berkovic Belgium
Souichiro Suzuki Japan
Benoît Paulmier Monaco
Keiji Yamanashi Japan
Toru Sakayauchi Japan
M.L. Graham relative to Sherry C.Y. Ng China Sherry C.Y. Ng's profile →
Citations per field
00.5×4.5×
Sherry C.Y. Ng · 1×
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 199776
2 200550
3 199142
4 199440
5 199931
6 199430
7 199515
8 199614
9 199210
10 19974
11
On-line image verification in radiation therapy: an early USA experience.
19934
12 19934
13 19911
14 20051
15 20031
16 20171
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 Hepatology, having authored 19 papers that have together received 325 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (9 papers), Advanced Radiotherapy Techniques (8 papers), Lung Cancer Treatments and Mutations (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Esophageal Cancer Research and Treatment (3 papers), Head and Neck Cancer Studies (2 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Radiation (110 citations), Pulmonary and Respiratory Medicine (175 citations), Emergency Medicine (49 citations), Radiology, Nuclear Medicine and Imaging (91 citations) and Surgery (157 citations). M.L. Graham has collaborated with scholars based in United States and Canada. Frequent co-authors include Simon Bicknell, Arnold Herskovic, Walter Kocha, Laurie E. Gaspar, Lawrence R. Coia, Chunlin Qian, John Wong, Carlos A. Perez, Michael W. Vannier and William B. Harms. 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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