Russ Tracy

2.2k total citations
9 papers, 732 citations indexed

About

Russ Tracy is a scholar working on Physiology, Surgery and Molecular Biology. According to data from OpenAlex, Russ Tracy has authored 9 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Physiology, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Russ Tracy's work include Blood Coagulation and Thrombosis Mechanisms (2 papers), Meta-analysis and systematic reviews (1 paper) and Genetic Associations and Epidemiology (1 paper). Russ Tracy is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (2 papers), Meta-analysis and systematic reviews (1 paper) and Genetic Associations and Epidemiology (1 paper). Russ Tracy collaborates with scholars based in United States, Australia and South Africa. Russ Tracy's co-authors include Mary Cushman, P R Howard, Elaine Cornell, E G Bovill, Nancy S. Jenny, Jeremy Walston, W. Yao, Karen Bandeen‐Roche, Qian‐Li Xue and Brock A. Beamer and has published in prestigious journals such as Neurology, Clinical Chemistry and PLoS Genetics.

In The Last Decade

Russ Tracy

9 papers receiving 720 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Russ Tracy United States 6 191 169 138 108 91 9 732
Serdar Türkmen Türkiye 14 198 1.0× 120 0.7× 147 1.1× 136 1.3× 96 1.1× 56 666
Yasemin Erten Türkiye 17 116 0.6× 161 1.0× 144 1.0× 55 0.5× 107 1.2× 65 809
Afshin Parsa United States 20 308 1.6× 137 0.8× 121 0.9× 106 1.0× 104 1.1× 34 1.3k
Seiji Gotoh Japan 14 196 1.0× 117 0.7× 218 1.6× 111 1.0× 159 1.7× 49 895
Giovanni Tripepi Italy 20 268 1.4× 154 0.9× 123 0.9× 133 1.2× 142 1.6× 66 1.1k
Jesper Melchior Hansen Denmark 18 162 0.8× 226 1.3× 121 0.9× 106 1.0× 164 1.8× 50 1.1k
Zekeriya Kaya Türkiye 16 285 1.5× 175 1.0× 208 1.5× 198 1.8× 110 1.2× 50 927
Mirosława Urban Poland 14 191 1.0× 95 0.6× 148 1.1× 209 1.9× 36 0.4× 74 796
RP Tracy United States 10 188 1.0× 242 1.4× 382 2.8× 132 1.2× 116 1.3× 15 897
Ineke J. Riphagen Netherlands 19 105 0.5× 115 0.7× 99 0.7× 150 1.4× 153 1.7× 47 955

Countries citing papers authored by Russ Tracy

Since Specialization
Citations

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

Fields of papers citing papers by Russ Tracy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Russ Tracy

This figure shows the co-authorship network connecting the top 25 collaborators of Russ Tracy. A scholar is included among the top collaborators of Russ Tracy 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 Russ Tracy. Russ Tracy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Paranjpe, Manish, Mark Chaffin, Scott C. Ritchie, et al.. (2022). Neurocognitive trajectory and proteomic signature of inherited risk for Alzheimer’s disease. PLoS Genetics. 18(9). e1010294–e1010294. 3 indexed citations
2.
Varadhan, Ravi, W. Yao, Amy M. Matteini, et al.. (2013). Simple Biologically Informed Inflammatory Index of Two Serum Cytokines Predicts 10 Year All-Cause Mortality in Older Adults. The Journals of Gerontology Series A. 69A(2). 165–173. 203 indexed citations
3.
Burnett‐Hartman, Andrea N., Annette L. Fitzpatrick, Richard A. Kronmal, et al.. (2012). Telomere-associated polymorphisms correlate with cardiovascular disease mortality in Caucasian women: The Cardiovascular Health Study. Mechanisms of Ageing and Development. 133(5). 275–281. 27 indexed citations
4.
Riverol, Mario, James T. Becker, Cyrus A. Raji, et al.. (2012). Systemic Inflammatory Markers, Cognition and Brain Structure among Cognitively Normal Elderly (P02.061). Neurology. 78(Meeting Abstracts 1). P02.061–P02.061. 3 indexed citations
5.
Kawut, Steven M., Emilia Bagiella, David J. Lederer, et al.. (2011). A Randomized Clinical Trial Of Aspirin And Simvastatin For Pulmonary Arterial Hypertension: ASA-STAT. A6126–A6126. 5 indexed citations
6.
Wong, Nathan D., Craig S. Roberts, Gregory L. Burke, et al.. (2009). Combined Association of Lipids and Blood Pressure in Relation to Incident Cardiovascular Disease in the Elderly: The Cardiovascular Health Study. American Journal of Hypertension. 23(2). 161–167. 14 indexed citations
7.
Sakkinen, Pamela A., Mary Cushman, Bruce M. Psaty, et al.. (1998). Correlates of antithrombin, protein C, protein S, and TFPI in a healthy elderly cohort.. PubMed. 80(1). 134–9. 50 indexed citations
8.
Cushman, Mary, Elaine Cornell, P R Howard, E G Bovill, & Russ Tracy. (1995). Laboratory methods and quality assurance in the Cardiovascular Health Study. Clinical Chemistry. 41(2). 264–270. 414 indexed citations
9.
Bovill, Edwin G., et al.. (1991). Studies on the measurement of protein S in plasma. Clinical Chemistry. 37(10). 1708–1714. 13 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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