Kevin T. Nead

5.7k citations
82 papers · 3.6k indexed · 1 hit paper · h-index 30

Kevin T. Nead

80 papers receiving 3.5k citations

Hit Papers

Estimated Projection of US Cancer Incidence and Death to ...7362021202620222024200400600

Peers

Kevin T. Nead
Comparison fields: 5 of 155
  • Geriatrics and Gerontology 157
  • Oncology 913
  • Gastroenterology 179
  • Pulmonary and Respiratory Medicine 789
  • Orthopedics and Sports Medicine 200
Replace Rui Qin with:
Rui Qin United States
G. A. Hitman United Kingdom
James A. Kaye United States
Lina Jansen Germany
Karin Jordan Germany
Claudio Luchini Italy
James L. Wade United States
Michael D. Shapiro United States
Masataka Taguri Japan
Katherine D. Crew United States
Kevin T. Nead relative to Rui Qin United States Rui Qin's profile →
Citations per field
00.5×4.2×
Rui Qin · 1×
Citations per year

Countries citing papers authored by Kevin T. Nead

Since Specialization
Citations

This map shows the geographic impact of Kevin T. Nead'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 Kevin T. Nead with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin T. Nead more than expected).

Fields of papers citing papers by Kevin T. Nead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin T. Nead. 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 Kevin T. Nead. The network helps show where Kevin T. Nead may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20249
3 20241
4 20241
5 202364
6 20236
7 20223
8 202232
9 20206
10 201916
11 20181
12 20184
13 20185
14 20179
15 201722
16 20161
17 20162
18 2016101
19 201555
20 201320

About Kevin T. Nead

Kevin T. Nead is a scholar working on Pulmonary and Respiratory Medicine, Internal Medicine and Oncology, having authored 82 papers that have together received 3.6k indexed citations. Recurring topics across this work include Peripheral Artery Disease Management (10 papers), Prostate Cancer Treatment and Research (9 papers), Estrogen and related hormone effects (6 papers), Cardiovascular and exercise physiology (5 papers), Cancer-related cognitive impairment studies (5 papers), Hormonal and reproductive studies (5 papers), Brain Metastases and Treatment (4 papers) and Lipoproteins and Cardiovascular Health (4 papers). The work is most often cited by research in Geriatrics and Gerontology (157 citations), Oncology (913 citations) and Gastroenterology (179 citations). Kevin T. Nead has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Mackenzie R. Wehner, Lynn M. Matrisian, Lola Rahib, Nicholas J. Leeper, Nigam H. Shah, John P. Cooke, Amy S. Wasterlain, Hillary J. Braun, Jason L. Dragoo and Paul L. Nguyen. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

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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