William Noyes

993 citations
11 papers · 726 · 1 hit paper · h-index 7

Impact in

Papers in

William Noyes

11 papers receiving 707 citations

William Noyes's Hit Papers

A multiinstitutional outcome and prognostic factor analysis of radiosurgery for resectable single brain metastasis 1996 · 395 citations
3950+10+20Years since publication100200300

Peers

William Noyes
Comparison fields: 5 of 42
  • Genetics 224
  • Pulmonary and Respiratory Medicine 530
  • Radiation 82
  • Obstetrics and Gynecology 60
  • Epidemiology 142
Replace O. Agboola with:
O. Agboola Canada
Banu Atalar Türkiye
Graciela R. Garton United States
Dasarahally S. Mohan United States
L. Schlenger Germany
Mark J. Amsbaugh United States
Hernan Castro-Vita United States
Irving J. Weigensberg United States
T. Gadalla Canada
Mark L. Lavigne United States
William Noyes relative to O. Agboola Canada O. Agboola's profile →
Citations per field
00.5×3.5×
O. Agboola · 1×
Citations per year

Countries citing papers authored by William Noyes

Since Specialization
Citations

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

Fields of papers citing papers by William Noyes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
A multiinstitutional outcome and prognostic factor analysis of radiosurgery for resectable single brain metastasis
Hit paper breakdown →
1996395
2 1997138
3 201196
4 199538
5 199532
6 199611
7 199510
8 19953
9 19951
10 19941
11 19621

About William Noyes

William Noyes is a scholar working on Pulmonary and Respiratory Medicine, Obstetrics and Gynecology, Neurology, Computational Mechanics and Epidemiology, having authored 11 papers that have together received 726 indexed citations. Recurring topics across this work include Brain Metastases and Treatment (4 papers), Endometrial and Cervical Cancer Treatments (3 papers), Estrogen and related hormone effects (1 paper), Breast Cancer Treatment Studies (1 paper), Meningioma and schwannoma management (1 paper), Vascular Malformations Diagnosis and Treatment (1 paper), Maternal and Perinatal Health Interventions (1 paper) and Advanced Aircraft Design and Technologies (1 paper). The work is most often cited by research in Genetics (224 citations), Pulmonary and Respiratory Medicine (530 citations), Radiation (82 citations), Obstetrics and Gynecology (60 citations) and Epidemiology (142 citations). William Noyes has collaborated with scholars based in United States. Frequent co-authors include Timothy J. Kinsella, Minesh P. Mehta, John P. Lamond, R M Auchter, Allan B. Levin, Rick Chappell, John M. Buatti, Eben Alexander, Christopher J. Schultz and Jay S. Loeffler. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Seminars in Radiation Oncology, Radiation Oncology Investigations and Journal of the SMPTE.

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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