M. Lawrence

621 citations
18 papers · 471 · 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
    • Pluripotent Stem Cells Research
    • Ubiquitin and proteasome pathways

Papers in

M. Lawrence

17 papers receiving 469 citations

Peers

M. Lawrence
Comparison fields: 5 of 63
  • Aging 14
  • Molecular Biology 385
  • Cancer Research 44
  • Otorhinolaryngology 7
  • Genetics 48
Replace Erik S. Anderson with:
Erik S. Anderson United States
Yoshinobu Harada Japan
Lisa Sudmeier United States
Osama Youssef United States
Soji Sebastian Canada
Judit Pampalona Spain
Brittany L. Phillips United States
Briana D. Ormsbee United States
Reona Kato Japan
Kimiko Takebayashi‐Suzuki Japan
M. Lawrence relative to Erik S. Anderson United States Erik S. Anderson's profile →
Citations per field
00.5×1.5×2.3×
Erik S. Anderson · 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

18 of 18 papers shown
#Work
1 2010398
2 201320
3 201414
4 20127
5 20126
6 20116
7 20204
8 20112
9 20162
10 20132
11 20142
12 20052
13 20102
14 20091
15 20081
16 20091
17 20101
18 20100

About M. Lawrence

M. Lawrence is a scholar working on Pulmonary and Respiratory Medicine, Radiation, Radiology, Nuclear Medicine and Imaging, Surgery and Molecular Biology, having authored 18 papers that have together received 471 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (7 papers), Radiation Dose and Imaging (4 papers), Medical Imaging Techniques and Applications (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Radiation Therapy and Dosimetry (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper) and Head and Neck Cancer Studies (1 paper). The work is most often cited by research in Aging (14 citations), Molecular Biology (385 citations), Cancer Research (44 citations), Otorhinolaryngology (7 citations) and Genetics (48 citations). M. Lawrence has collaborated with scholars based in United States, Türkiye and Netherlands. Frequent co-authors include Deepayan Sarkar, Maura H. Parker, Zizhen Yao, Yi Cao, Gilson J. Sanchez, Jerry Davison, Stephen J. Tapscott, Kyle L. MacQuarrie, Walter L. Ruzzo and Martin Morgan. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Medical Physics, Bioinformatics, PLoS ONE and Radiology.

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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