JOHN D. WITT

1.3k total citations · 1 hit paper
8 papers, 969 citations indexed

About

JOHN D. WITT is a scholar working on Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, JOHN D. WITT has authored 8 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cardiology and Cardiovascular Medicine, 3 papers in Public Health, Environmental and Occupational Health and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in JOHN D. WITT's work include Obesity, Physical Activity, Diet (3 papers), Cardiac Imaging and Diagnostics (3 papers) and Physical Activity and Health (2 papers). JOHN D. WITT is often cited by papers focused on Obesity, Physical Activity, Diet (3 papers), Cardiac Imaging and Diagnostics (3 papers) and Physical Activity and Health (2 papers). JOHN D. WITT collaborates with scholars based in United States. JOHN D. WITT's co-authors include Larry T. Mahoney, Ronald M. Lauer, Trudy L. Burns, Kathleen F. Janz, Brad Thompson, William L. Stanford, William R. Clarke and Elena M. Letuchy and has published in prestigious journals such as Journal of the American College of Cardiology, Radiology and Medicine & Science in Sports & Exercise.

In The Last Decade

JOHN D. WITT

8 papers receiving 910 citations

Hit Papers

Coronary risk factors measured in childhood and young adu... 1996 2026 2006 2016 1996 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
JOHN D. WITT United States 8 507 314 255 175 155 8 969
Dawn Stewart United States 18 506 1.0× 510 1.6× 211 0.8× 37 0.2× 258 1.7× 21 1.6k
Ari Shamis Israel 10 343 0.7× 185 0.6× 166 0.7× 166 0.9× 173 1.1× 12 861
Marco Giussani Italy 22 448 0.9× 459 1.5× 192 0.8× 270 1.5× 187 1.2× 51 1.1k
A. S. Leon United States 11 369 0.7× 249 0.8× 529 2.1× 55 0.3× 74 0.5× 20 1.1k
Jacqueline Hay Canada 16 238 0.5× 258 0.8× 438 1.7× 56 0.3× 193 1.2× 41 1.0k
Anna Viitasalo Finland 18 376 0.7× 141 0.4× 261 1.0× 129 0.7× 169 1.1× 39 823
Beata Gurzkowska Poland 14 427 0.8× 113 0.4× 140 0.5× 197 1.1× 94 0.6× 21 798
Kyle J. McInnis United States 16 226 0.4× 344 1.1× 226 0.9× 25 0.1× 31 0.2× 38 951
B Marti Switzerland 16 231 0.5× 337 1.1× 215 0.8× 38 0.2× 63 0.4× 43 1.0k
Monika Siegrist Germany 17 214 0.4× 113 0.4× 201 0.8× 60 0.3× 23 0.1× 27 667

Countries citing papers authored by JOHN D. WITT

Since Specialization
Citations

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

Fields of papers citing papers by JOHN D. WITT

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by JOHN D. WITT. 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 JOHN D. WITT. The network helps show where JOHN D. WITT may publish in the future.

Co-authorship network of co-authors of JOHN D. WITT

This figure shows the co-authorship network connecting the top 25 collaborators of JOHN D. WITT. A scholar is included among the top collaborators of JOHN D. WITT based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with JOHN D. WITT. JOHN D. WITT is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Burns, Trudy L., et al.. (2009). Childhood Predictors of the Metabolic Syndrome in Middle-Aged Adults: The Muscatine Study. The Journal of Pediatrics. 155(3). S5.e17–S5.e26. 37 indexed citations
2.
Stanford, William L., Trudy L. Burns, Brad Thompson, et al.. (2004). Influence of Body Size and Section Level on Calcium Phantom Measurements at Coronary Artery Calcium CT Scanning. Radiology. 230(1). 198–205. 15 indexed citations
3.
Mahoney, Larry T., Trudy L. Burns, William L. Stanford, et al.. (2001). Usefulness of the Framingham risk score and body mass index to predict early coronary artery calcium in young adults (Muscatine Study). The American Journal of Cardiology. 88(5). 509–515. 43 indexed citations
4.
Janz, Kathleen F., Trudy L. Burns, JOHN D. WITT, & Larry T. Mahoney. (1998). Longitudinal analysis of scaling V??O2 for differences in body size during puberty: the Muscatine Study. Medicine & Science in Sports & Exercise. 30(9). 1436–1444. 33 indexed citations
5.
Janz, Kathleen F., Trudy L. Burns, JOHN D. WITT, & Larry T. Mahoney. (1998). Longitudinal analysis of scaling V˙O2 for differences in body size during puberty: the Muscatine Study. Medicine & Science in Sports & Exercise. 30(9). 1436–1444. 7 indexed citations
6.
Mahoney, Larry T., Trudy L. Burns, William L. Stanford, et al.. (1996). Coronary risk factors measured in childhood and young adult life are associated with coronary artery calcification in young adults: The muscatine study. Journal of the American College of Cardiology. 27(2). 277–284. 497 indexed citations breakdown →
7.
Janz, Kathleen F., JOHN D. WITT, & Larry T. Mahoney. (1995). The stability of children??s physical activity as measured by accelerometry and self-report. Medicine & Science in Sports & Exercise. 27(9). 1326???1332–1326???1332. 235 indexed citations
8.
Lauer, Ronald M., Larry T. Mahoney, William R. Clarke, & JOHN D. WITT. (1993). Childhood Predictors for High Adult Blood Pressure. Pediatric Clinics of North America. 40(1). 23–40. 102 indexed citations

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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