Charles C. White

1.1k total citations
26 papers, 822 citations indexed

About

Charles C. White is a scholar working on Surgery, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Charles C. White has authored 26 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 5 papers in Epidemiology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Charles C. White's work include Lipoproteins and Cardiovascular Health (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Cardiovascular Disease and Adiposity (4 papers). Charles C. White is often cited by papers focused on Lipoproteins and Cardiovascular Health (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Cardiovascular Disease and Adiposity (4 papers). Charles C. White collaborates with scholars based in United States, Japan and United Kingdom. Charles C. White's co-authors include L. Adrienne Cupples, Ernst J. Schaefer, Bela F. Asztalos, Seiko Otokozawa, Peter W.F. Wilson, Katsuyuki Nakajima, Masumi Ai, Serkalem Demissie, Stefania Lamon‐Fava and Masayuki Kimura and has published in prestigious journals such as Circulation, Neurology and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Charles C. White

22 papers receiving 806 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles C. White United States 14 312 231 192 150 110 26 822
Ting Luo China 18 312 1.0× 340 1.5× 175 0.9× 146 1.0× 199 1.8× 47 1.0k
Müjde Aktürk Türkiye 21 187 0.6× 413 1.8× 203 1.1× 123 0.8× 166 1.5× 80 1.1k
Hasan Altunbaş Türkiye 20 349 1.1× 525 2.3× 113 0.6× 109 0.7× 128 1.2× 49 1.1k
Federica Ermetici Italy 15 257 0.8× 298 1.3× 102 0.5× 160 1.1× 98 0.9× 25 667
Amin Jayyousi Qatar 18 154 0.5× 394 1.7× 150 0.8× 117 0.8× 141 1.3× 58 946
Kumiko Ishida Japan 12 375 1.2× 103 0.4× 71 0.4× 144 1.0× 231 2.1× 30 1.1k
Mustafa Kulaksızoğlu Türkiye 15 184 0.6× 374 1.6× 86 0.4× 89 0.6× 130 1.2× 54 893
Alev Eroğlu Altınova Türkiye 22 133 0.4× 385 1.7× 218 1.1× 130 0.9× 220 2.0× 74 1.1k
Mirosława Urban Poland 14 114 0.4× 209 0.9× 95 0.5× 191 1.3× 148 1.3× 74 796
Jenie Yoonoo Hwang South Korea 19 171 0.5× 287 1.2× 182 0.9× 185 1.2× 277 2.5× 34 828

Countries citing papers authored by Charles C. White

Since Specialization
Citations

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

Fields of papers citing papers by Charles C. White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles C. White. 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 Charles C. White. The network helps show where Charles C. White may publish in the future.

Co-authorship network of co-authors of Charles C. White

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

All Works

20 of 20 papers shown
4.
Johnson, Charles A., et al.. (2021). Effects of the Obesity Epidemic on Total Hip and Knee Arthroplasty Demographics. The Journal of Arthroplasty. 36(9). 3097–3100. 26 indexed citations
5.
White, Charles C., et al.. (2020). Two-staged revision of the infected total elbow arthroplasty with an articulating spacer: a good option for an unsolved problem. Seminars in Arthroplasty JSES. 31(1). 65–71. 2 indexed citations
6.
White, Charles C., et al.. (2020). Predictors of patient satisfaction and outcomes following reverse total shoulder arthroplasty. Seminars in Arthroplasty JSES. 30(4). 277–284. 6 indexed citations
7.
White, Charles C., et al.. (2020). Shoulder Position During Magnetic Resonance Arthrogram Significantly Affects Capsular Measurements. Arthroscopy The Journal of Arthroscopic and Related Surgery. 37(1). 17–25. 1 indexed citations
8.
White, Charles C., et al.. (2019). All-Polyethylene versus Metal-Backed Tibial Components in Total Knee Arthroplasty. The Journal of Knee Surgery. 32(8). 714–718. 6 indexed citations
9.
White, Charles C., Josef K. Eichinger, & Richard J. Friedman. (2018). Minimizing Blood Loss and Transfusions in Total Knee Arthroplasty. The Journal of Knee Surgery. 31(7). 594–599. 24 indexed citations
10.
Xia, Zongqi, Sonya Steele, Anshika Bakshi, et al.. (2017). Assessment of Early Evidence of Multiple Sclerosis in a Prospective Study of Asymptomatic High-Risk Family Members. JAMA Neurology. 74(3). 293–293. 41 indexed citations
11.
Bove, Riley, Charles C. White, Gavin Giovannoni, et al.. (2015). Evaluating more naturalistic outcome measures. Neurology Neuroimmunology & Neuroinflammation. 2(6). 46 indexed citations
12.
Ai, Masumi, Seiko Otokozawa, Bela F. Asztalos, et al.. (2011). Adiponectin: An independent risk factor for coronary heart disease in men in the Framingham offspring Study. Atherosclerosis. 217(2). 543–548. 74 indexed citations
13.
Lamon‐Fava, Stefania, Santica M. Marcovina, John J. Albers, et al.. (2011). Lipoprotein(a) levels, apo(a) isoform size, and coronary heart disease risk in the Framingham Offspring Study. Journal of Lipid Research. 52(6). 1181–1187. 73 indexed citations
14.
Otokozawa, Seiko, Masumi Ai, Bela F. Asztalos, et al.. (2010). Direct assessment of plasma low density lipoprotein and high density lipoprotein cholesterol levels and coronary heart disease: Results from the Framingham Offspring Study. Atherosclerosis. 213(1). 251–255. 26 indexed citations
15.
Vasan, Ramachandran S., Serkalem Demissie, Masayuki Kimura, et al.. (2009). Association of Leukocyte Telomere Length With Echocardiographic Left Ventricular Mass. Circulation. 120(13). 1195–1202. 51 indexed citations
16.
Lamon‐Fava, Stefania, David M. Herrington, David M. Reboussin, et al.. (2008). Plasma Levels of HDL Subpopulations and Remnant Lipoproteins Predict the Extent of Angiographically-Defined Coronary Artery Disease in Postmenopausal Women. Arteriosclerosis Thrombosis and Vascular Biology. 28(3). 575–579. 57 indexed citations
17.
Vasan, Ramachandran S., Serkalem Demissie, L. Adrienne Cupples, et al.. (2008). Response to Letter Regarding Article, “Association of Leukocyte Telomere Length With Circulating Biomarkers of the Renin-Angiotensin-Aldosterone System: The Framingham Heart Study”. Circulation. 118(19). 1 indexed citations
19.
Rosado-de-Christenson, Melissa L., et al.. (1996). From the archives of the AFIP. Malignant pleural mesothelioma: radiologic-pathologic correlation.. Radiographics. 16(3). 613–644. 48 indexed citations
20.
White, Charles C., et al.. (1990). Biodistribution and Clearance of Contrast-Carrying MREV Liposomes. Investigative Radiology. 25(10). 1125–1129. 9 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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