NM Hylton

817 citations
9 papers · 519 · h-index 5

Impact in

Papers in

NM Hylton

8 papers receiving 502 citations

Peers

NM Hylton
Comparison fields: 5 of 68
  • Statistics and Probability 194
  • Cancer Research 218
  • Oncology 117
  • Radiology, Nuclear Medicine and Imaging 90
  • Management Science and Operations Research 44
Replace L. Esserman with:
L. Esserman United States
DA Berry United States
Martin Jenkins United Kingdom
Jianchang Lin United States
Mercedeh Ghadessi United States
Mirat Shah United States
John D. Cook United States
Sally Clive United Kingdom
Veronica Bunn United States
Cong Chen United States
NM Hylton relative to L. Esserman United States L. Esserman's profile →
Citations per field
00.5×1.5×
L. Esserman · 1×
Citations per year

Countries citing papers authored by NM Hylton

Since Specialization
Citations

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

Fields of papers citing papers by NM Hylton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside NM Hylton, 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 NM Hylton Line = papers co-authored together NM Hylton links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2009496
2 20116
3
Information processing in magnetic resonance imaging.
19865
4 20095
5 20114
6
Characterization of arterial blood flow using magnetic resonance imaging techniques.
19901
7 20091
8
Incremental Value of ADC as an Indicator of Treatment Response in Patients Undergoing Neoadjuvant Chemotherapy for Locally Advanced Breast Cancer
20031
9
MRA: how it's done and what it shows.
19900

About NM Hylton

NM Hylton is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Economics and Econometrics and Immunology, having authored 9 papers that have together received 519 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (4 papers), Medical Imaging Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced MRI Techniques and Applications (3 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Biosimilars and Bioanalytical Methods (1 paper), Breast Cancer Treatment Studies (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Statistics and Probability (194 citations), Cancer Research (218 citations), Oncology (117 citations), Radiology, Nuclear Medicine and Imaging (90 citations) and Management Science and Operations Research (44 citations). NM Hylton has collaborated with scholars based in United States. Frequent co-authors include DA Berry, L. Esserman, Kelloff Gj, Gillian M. Newstead, Sharon N. Edmiston, SJ Isakoff, Kristin M. Conway, W K Bernreuter, Rita S. Mehta and Michael Winkler. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Clinical Pharmacology & Therapeutics and PubMed.

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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