Daniel Tracy

497 total citations
9 papers, 359 citations indexed

About

Daniel Tracy is a scholar working on Epidemiology, Hepatology and Infectious Diseases. According to data from OpenAlex, Daniel Tracy has authored 9 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Hepatology and 2 papers in Infectious Diseases. Recurrent topics in Daniel Tracy's work include Hepatitis B Virus Studies (3 papers), Hepatitis C virus research (3 papers) and Cardiovascular Disease and Adiposity (2 papers). Daniel Tracy is often cited by papers focused on Hepatitis B Virus Studies (3 papers), Hepatitis C virus research (3 papers) and Cardiovascular Disease and Adiposity (2 papers). Daniel Tracy collaborates with scholars based in United States, United Kingdom and Germany. Daniel Tracy's co-authors include Robert C. Kaplan, Brian C. Kelly, Amy LeClair, Jeffrey T. Parsons, Brooke E. Wells, Sarit A. Golub, Neomi Shah, Susan Redline, Mark Menegus and Robert J. Ostfeld and has published in prestigious journals such as Arteriosclerosis Thrombosis and Vascular Biology, Drug and Alcohol Dependence and BMJ Open.

In The Last Decade

Daniel Tracy

9 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Tracy United States 7 156 112 85 69 60 9 359
Mei‐Ling Sharon Tai Malaysia 13 92 0.6× 103 0.9× 49 0.6× 12 0.2× 24 0.4× 27 424
Prakash Patel India 10 48 0.3× 53 0.5× 31 0.4× 26 0.4× 14 0.2× 46 335
Alexander Kiderman Israel 11 201 1.3× 41 0.4× 22 0.3× 8 0.1× 60 1.0× 31 358
Antoine Vilotitch France 10 96 0.6× 24 0.2× 15 0.2× 8 0.1× 37 0.6× 40 320
Akash Goel Canada 12 157 1.0× 47 0.4× 3 0.0× 33 0.5× 27 0.5× 34 642
Parisa Adimi Naghan Iran 9 88 0.6× 88 0.8× 4 0.0× 40 0.6× 58 1.0× 44 337
Turan Acıcan Türkiye 10 67 0.4× 78 0.7× 11 0.1× 35 0.5× 155 2.6× 36 391
Masahiro Kinoshita Japan 11 118 0.8× 20 0.2× 6 0.1× 19 0.3× 78 1.3× 44 373
M.E. Numans Netherlands 8 66 0.4× 44 0.4× 4 0.0× 14 0.2× 42 0.7× 11 391
Ying‐Chun Li Taiwan 10 71 0.5× 61 0.5× 20 0.2× 15 0.2× 21 0.3× 32 307

Countries citing papers authored by Daniel Tracy

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Tracy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Tracy

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Tracy. A scholar is included among the top collaborators of Daniel 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 Daniel Tracy. Daniel 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.
2.
Shaked, Iftach, David B. Hanna, B. J. Marsh, et al.. (2014). Macrophage Inflammatory Markers Are Associated With Subclinical Carotid Artery Disease in Women With Human Immunodeficiency Virus or Hepatitis C Virus Infection. Arteriosclerosis Thrombosis and Vascular Biology. 34(5). 1085–1092. 60 indexed citations
3.
Shah, Neomi, Tom B. Rice, Daniel Tracy, et al.. (2013). Sleep and Insulin-Like Growth Factors in the Cardiovascular Health Study. Journal of Clinical Sleep Medicine. 9(12). 1245–1251. 11 indexed citations
4.
Shah, Neomi, Susan Redline, H. Klar Yaggi, et al.. (2012). Obstructive sleep apnea and acute myocardial infarction severity: ischemic preconditioning?. Sleep And Breathing. 17(2). 819–826. 108 indexed citations
5.
Kelly, Brian C., Brooke E. Wells, Amy LeClair, et al.. (2012). Prevalence and correlates of prescription drug misuse among socially active young adults. International Journal of Drug Policy. 24(4). 297–303. 52 indexed citations
6.
Kelly, Brian C., Brooke E. Wells, Amy LeClair, et al.. (2012). Prescription drug misuse among young adults: Looking across youth cultures. Drug and Alcohol Review. 32(3). 288–294. 19 indexed citations
7.
Seal, Karen H., Lorna Dove, Hui Shen, et al.. (2007). The Association of Human Immunodeficiency Virus Infection with Spontaneously Resolved Hepatitis C Virus Infection and Level of Viremia Among Injection Drug Users. Digestive Diseases and Sciences. 52(12). 3423–3430. 6 indexed citations
8.
Currie, Sue, James C. Ryan, Daniel Tracy, et al.. (2007). A prospective study to examine persistent HCV reinfection in injection drug users who have previously cleared the virus. Drug and Alcohol Dependence. 93(1-2). 148–154. 47 indexed citations
9.
Marks, Thomas A. & Daniel Tracy. (1995). Prevention of Human Recombinant Intei leukin‐1β (rhIL‐1β) Embryolethality with Progesterone or Indomethacin. American Journal of Reproductive Immunology. 33(4). 292–300. 3 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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