Tom A. Bond

8 papers receiving 320 citations

Tom A. Bond's Hit Papers

Predictive Accuracy of a Polygenic Risk Score–Enhanced Prediction Model vs a Clinical Risk Score for Coronary Artery Disease 2020 · 261 citations
2610+2+4Years since publication50100150200250

Peers

Tom A. Bond
Comparison fields: 5 of 64
  • Genetics 167
  • Cardiology and Cardiovascular Medicine 85
  • Health Informatics 4
  • Obstetrics and Gynecology 17
  • Pediatrics, Perinatology and Child Health 40
Replace Yixuan Ye with:
Yixuan Ye United States
Catherine Tcheandjieu United States
Elisabeth Widén Finland
Annica Bergendal Sweden
Paul Brennan United Kingdom
Alyson Kelley-Hedgepeth United States
Nicole Y. Souren Netherlands
Xianghong Hu China
Oddgeir L. Holmen Norway
Elizabeth A. Grosen United States
Tom A. Bond relative to Yixuan Ye United States Yixuan Ye's profile →
Citations per field
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Countries citing papers authored by Tom A. Bond

Since Specialization
Citations

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

Fields of papers citing papers by Tom A. Bond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom A. Bond. 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 Tom A. Bond. The network helps show where Tom A. Bond may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Predictive Accuracy of a Polygenic Risk Score–Enhanced Prediction Model vs a Clinical Risk Score for Coronary Artery Disease
Hit paper breakdown →
2020261
2 202122
3 202214
4 201913
5 20229
6 20206
7 20241
8 20261
9 20220
10 20260

About Tom A. Bond

Tom A. Bond is a scholar working on Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Health, Toxicology and Mutagenesis, Obstetrics and Gynecology and Molecular Biology, having authored 10 papers that have together received 327 indexed citations. Recurring topics across this work include Birth, Development, and Health (5 papers), Obesity, Physical Activity, Diet (4 papers), Health, Environment, Cognitive Aging (3 papers), Cardiovascular Health and Risk Factors (1 paper), Attention Deficit Hyperactivity Disorder (1 paper), Genetic Associations and Epidemiology (1 paper), Cancer, Lipids, and Metabolism (1 paper) and Adolescent and Pediatric Healthcare (1 paper). The work is most often cited by research in Genetics (167 citations), Cardiology and Cardiovascular Medicine (85 citations), Health Informatics (4 citations), Obstetrics and Gynecology (17 citations) and Pediatrics, Perinatology and Child Health (40 citations). Tom A. Bond has collaborated with scholars based in United Kingdom, Australia and Finland. Frequent co-authors include Abbas Dehghan, Ioanna Tzoulaki, Joshua Elliott, Εvangelos Εvangelou, Marc Chadeau‐Hyam, Paul Elliott, Barbara Bodinier, David C. Muller, Karel G.M. Moons and Marjo‐Riitta Järvelin. Their work appears in journals such as BMC Medicine, JAMA, BMC Public Health, Journal of Developmental Origins of Health and Disease and International Journal of Epidemiology.

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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