Daniel J. McCarty

18.0k total citations · 4 hit papers
209 papers, 13.6k citations indexed

About

Daniel J. McCarty is a scholar working on Rheumatology, Nephrology and Surgery. According to data from OpenAlex, Daniel J. McCarty has authored 209 papers receiving a total of 13.6k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Rheumatology, 51 papers in Nephrology and 47 papers in Surgery. Recurrent topics in Daniel J. McCarty's work include Gout, Hyperuricemia, Uric Acid (46 papers), Alkaline Phosphatase Research Studies (22 papers) and Musculoskeletal synovial abnormalities and treatments (21 papers). Daniel J. McCarty is often cited by papers focused on Gout, Hyperuricemia, Uric Acid (46 papers), Alkaline Phosphatase Research Studies (22 papers) and Musculoskeletal synovial abnormalities and treatments (21 papers). Daniel J. McCarty collaborates with scholars based in United States, Australia and United Kingdom. Daniel J. McCarty's co-authors include Paul Zimmet, Angelyne Amos, Franklin Kozin, Herman S. Cheung, Paul B. Halverson, Lawrence M. Ryan, Stanley L. Wallace, Ts’ai-Fan Yű, John L. Decker and Harry Robinson and has published in prestigious journals such as Nature, New England Journal of Medicine and JAMA.

In The Last Decade

Daniel J. McCarty

207 papers receiving 12.4k citations

Hit Papers

The Rising Global Burden of Diabetes a... 1962 2026 1983 2004 1997 1977 1985 1962 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. McCarty United States 57 4.0k 3.1k 2.8k 2.3k 1.8k 209 13.6k
W. Michael O’Fallon United States 86 3.7k 0.9× 1.3k 0.4× 5.5k 1.9× 1.5k 0.6× 4.5k 2.6× 196 25.2k
Joseph L. Mills United States 71 5.5k 1.4× 1.7k 0.6× 8.7k 3.1× 5.3k 2.3× 2.2k 1.3× 464 26.2k
David A. Roth United States 47 3.4k 0.9× 6.6k 2.1× 3.0k 1.1× 1.6k 0.7× 2.0k 1.2× 212 20.6k
F. Javier Nieto United States 56 1.7k 0.4× 1.2k 0.4× 2.1k 0.7× 1.0k 0.4× 1.7k 1.0× 106 12.6k
Kenneth G. Saag United States 86 7.4k 1.9× 4.0k 1.3× 6.0k 2.1× 1.5k 0.6× 2.7k 1.5× 476 26.7k
Alfonse T. Masi United States 61 19.5k 4.9× 3.6k 1.2× 3.4k 1.2× 802 0.3× 3.9k 2.2× 206 37.0k
Greg Gamble New Zealand 71 755 0.2× 1.4k 0.4× 2.6k 0.9× 1.9k 0.8× 1.5k 0.8× 376 16.4k
Hanno Ulmer Austria 73 1.0k 0.3× 1.5k 0.5× 4.9k 1.8× 1.2k 0.5× 5.2k 3.0× 486 19.0k
Mark S. Segal United States 52 920 0.2× 2.8k 0.9× 1.3k 0.5× 1.3k 0.6× 1.7k 1.0× 207 11.0k
Peter R. Ebeling Australia 80 1.3k 0.3× 1.6k 0.5× 4.4k 1.6× 3.1k 1.3× 2.7k 1.5× 568 23.6k

Countries citing papers authored by Daniel J. McCarty

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. McCarty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. McCarty

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. McCarty. A scholar is included among the top collaborators of Daniel J. McCarty 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 J. McCarty. Daniel J. McCarty 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
1.
Wilke, Russell A., Richard L. Berg, Peggy Peissig, et al.. (2007). Use of an Electronic Medical Record for the Identification of Research Subjects with Diabetes Mellitus. Clinical Medicine & Research. 5(1). 1–7. 62 indexed citations
2.
Tapp, Robyn J., Paul Zimmet, C Alex Harper, et al.. (2006). Six year incidence and progression of diabetic retinopathy: Results from the Mauritius diabetes complication study. Diabetes Research and Clinical Practice. 73(3). 298–303. 33 indexed citations
3.
Tapp, Robyn J., Paul Zimmet, C Alex Harper, et al.. (2006). Diagnostic thresholds for diabetes: The association of retinopathy and albuminuria with glycaemia. Diabetes Research and Clinical Practice. 73(3). 315–321. 51 indexed citations
4.
McCarty, Catherine A., P.-H. Chyou, Robert T. Greenlee, et al.. (2003). Differences in preventive screening rates in Wisconsin farm and non-farm resident women.. PubMed. 102(5). 22–6. 3 indexed citations
5.
6.
Dunstan, David W., Paul Zimmet, Timothy A. Welborn, et al.. (2002). The Australian Diabetes, Obesity and Lifestyle Study (AusDiab)—methods and response rates. Diabetes Research and Clinical Practice. 57(2). 119–129. 436 indexed citations
7.
Tole, Derek, et al.. (2001). Comparison of Laser in situ Keratomileusis and Photorefractive Keratectomy for the Correction of Myopia of -6.00 Diopters or Less. Journal of Refractive Surgery. 17(1). 46–54. 28 indexed citations
8.
Ryan, Lawrence M., et al.. (1996). Adenosine triphosphate levels in human plasma.. PubMed. 23(2). 214–9. 22 indexed citations
9.
McCarty, Daniel J.. (1993). Personal experience in the treatment of seropositive rheumatoid arthritis with drugs used in combination. Seminars in Arthritis and Rheumatism. 23(2). 42–49. 8 indexed citations
10.
Jaffe, Glenn J., Daniel M. Schwartz, Mark S. Gottlieb, et al.. (1990). Risk Factors for Postvitrectomy Fibrin Formation. American Journal of Ophthalmology. 109(6). 661–667. 22 indexed citations
11.
Ryan, Lawrence M., et al.. (1984). Cartilage Nucleoside Triphosphate (NTP) Pyrophosphohydrolase. Arthritis & Rheumatism. 27(4). 404–409. 47 indexed citations
12.
Cheung, Herman S., Paul B. Halverson, & Daniel J. McCarty. (1981). Release of Collagenase, Neutral Protease, and Prostaglandins From Cultured Mammalian Synovial Cells by Hydroxyapatite and Calcium Pyrophosphate Dihydrate Crystals. Arthritis & Rheumatism. 24(11). 1338–1344. 104 indexed citations
13.
Treuhaft, Paul S., et al.. (1971). A Rapid Method for Evaluating the Structure and Function of the Rheumatoid Hand. Arthritis & Rheumatism. 14(1). 75–86. 17 indexed citations
14.
McCarty, Daniel J., et al.. (1967). A COMPARATIVE STUDY OF ROENTGENOGRAPHIC TECHNIQUES FOR DETECTION OF CALCIUM PYROPHOSPHATE DIHYDRATE DEPOSITS (PSEUDOGOUT) IN HUMAN CARTILAGE. American Journal of Roentgenology. 99(3). 688–694. 17 indexed citations
15.
McCarty, Daniel J., et al.. (1966). CRYSTAL-INDUCED INFLAMMATION IN CANINE JOINTS. The Journal of Experimental Medicine. 124(1). 99–114. 130 indexed citations
16.
Phelps, Paulding & Daniel J. McCarty. (1966). CRYSTAL-INDUCED INFLAMMATION IN CANINE JOINTS. The Journal of Experimental Medicine. 124(1). 115–126. 138 indexed citations
17.
McCarty, Daniel J., Robert Gatter, & Paulding Phelps. (1965). A dolorimeter for quantification of articular tenderness. Arthritis & Rheumatism. 8(4). 551–559. 67 indexed citations
18.
McCarty, Daniel J.. (1964). The pendulum of progress in gout: From crystals to hyperuricemia and back. Arthritis & Rheumatism. 7(5). 534–541. 25 indexed citations
19.
McCarty, Daniel J. & J. Michael Hogan. (1964). Inflammatory reaction after intrasynovial injection of microcrystalline adrenocorticosteroid esters. Arthritis & Rheumatism. 7(4). 359–367. 83 indexed citations
20.
McCarty, Daniel J.. (1963). Crystal Induced Inflammation—Syndromes of Gout and Pseudogout.. Annals of Internal Medicine. 58(4). 717–717. 12 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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