M. Lawrence

616 citations
17 papers · 455 · h-index 6

Impact in

    • Muscle Physiology and Disorders
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • Ubiquitin and proteasome pathways
    • Pluripotent Stem Cells Research
    • Cancer-related gene regulation

Papers in

M. Lawrence

17 papers receiving 453 citations

Peers

M. Lawrence
Comparison fields: 5 of 64
  • Aging 12
  • Molecular Biology 382
  • Cancer Research 44
  • Radiation 25
  • Genetics 54
Replace Yoshinobu Harada with:
Yoshinobu Harada Japan
Lisa Sudmeier United States
R. Tanner Hagelstrom United States
Eileen Pernot Belgium
Judit Pampalona Spain
Natsuko Okamoto Japan
Reona Kato Japan
Peter G. Hendrickson United States
Soji Sebastian Canada
Kimiko Takebayashi‐Suzuki Japan
M. Lawrence relative to Yoshinobu Harada Japan Yoshinobu Harada's profile →
Citations per field
00.5×7.8×
Yoshinobu Harada · 1×
Citations per year

Countries citing papers authored by M. Lawrence

Since Specialization
Citations

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

Fields of papers citing papers by M. Lawrence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2010385
2 201319
3 201414
4 20116
5 20126
6 20126
7 20204
8 20162
9 20132
10 20052
11 20142
12 20112
13 20101
14 20091
15 20101
16 20081
17 20091

About M. Lawrence

M. Lawrence is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Radiation, Surgery and Molecular Biology, having authored 17 papers that have together received 455 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (8 papers), Radiation Dose and Imaging (6 papers), Lung Cancer Diagnosis and Treatment (4 papers), Medical Imaging Techniques and Applications (3 papers), Effects of Radiation Exposure (3 papers), Radiation Therapy and Dosimetry (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Glaucoma and retinal disorders (1 paper). The work is most often cited by research in Aging (12 citations), Molecular Biology (382 citations), Cancer Research (44 citations), Radiation (25 citations) and Genetics (54 citations). M. Lawrence has collaborated with scholars based in United States, Türkiye and Netherlands. Frequent co-authors include Jerry Davison, Zizhen Yao, Maura H. Parker, Yi Cao, Gilson J. Sanchez, Stephen J. Tapscott, Deepayan Sarkar, Martin Morgan, Walter L. Ruzzo and Robert Gentleman. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Medical Physics, Radiology, Frontiers in Oncology and Journal of Allergy and Clinical Immunology.

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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