Richard McLain

1.6k total citations
25 papers, 930 citations indexed

About

Richard McLain is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Economics and Econometrics. According to data from OpenAlex, Richard McLain has authored 25 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 6 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Economics and Econometrics. Recurrent topics in Richard McLain's work include Lipoproteins and Cardiovascular Health (9 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers) and Pharmaceutical Economics and Policy (4 papers). Richard McLain is often cited by papers focused on Lipoproteins and Cardiovascular Health (9 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers) and Pharmaceutical Economics and Policy (4 papers). Richard McLain collaborates with scholars based in United States, Canada and Finland. Richard McLain's co-authors include Randall W. Whitcomb, Dean H. Lockwood, Donald M. Black, Donna L. Cragle, Therèse Heinonen, Rebecca Bakker‐Arkema, Michael J. Koren, Alan S. Brown, Lawrence Title and Jacques Lespérance and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Neurology.

In The Last Decade

Richard McLain

25 papers receiving 854 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard McLain United States 16 488 188 179 177 170 25 930
Emil M. deGoma United States 19 667 1.4× 425 2.3× 206 1.2× 102 0.6× 43 0.3× 40 1.4k
Kathryn A. Krueger United States 17 568 1.2× 574 3.1× 202 1.1× 86 0.5× 35 0.2× 29 1.7k
Ting‐Hsing Chao Taiwan 19 395 0.8× 202 1.1× 259 1.4× 64 0.4× 77 0.5× 84 1.3k
Stephen Donahue United States 14 583 1.2× 166 0.9× 142 0.8× 281 1.6× 17 0.1× 31 1.1k
L Wiśniewski United States 11 313 0.6× 127 0.7× 129 0.7× 25 0.1× 99 0.6× 20 842
Jong-Soon Park United States 12 793 1.6× 632 3.4× 198 1.1× 171 1.0× 150 0.9× 27 1.7k
Iwona Świątkiewicz Poland 16 343 0.7× 175 0.9× 66 0.4× 63 0.4× 54 0.3× 53 917
Mike K. Palmer United Kingdom 17 745 1.5× 344 1.8× 66 0.4× 230 1.3× 113 0.7× 26 1.4k
Michael Stepanavage United States 11 905 1.9× 540 2.9× 81 0.5× 167 0.9× 38 0.2× 16 1.3k
Jemma C. Hopewell United Kingdom 22 766 1.6× 420 2.2× 314 1.8× 112 0.6× 46 0.3× 58 1.8k

Countries citing papers authored by Richard McLain

Since Specialization
Citations

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

Fields of papers citing papers by Richard McLain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard McLain

This figure shows the co-authorship network connecting the top 25 collaborators of Richard McLain. A scholar is included among the top collaborators of Richard McLain 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 Richard McLain. Richard McLain 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.
Kamath, Binita M., Cathie Spino, Richard McLain, et al.. (2020). Unraveling the Relationship Between Itching, Scratch Scales, and Biomarkers in Children With Alagille Syndrome. Hepatology Communications. 4(7). 1012–1018. 9 indexed citations
2.
Sulkowski, Mark, Annie Luetkemeyer, David Wyles, et al.. (2020). Impact of a digital medicine programme on hepatitis C treatment adherence and efficacy in adults at high risk for non‐adherence. Alimentary Pharmacology & Therapeutics. 51(12). 1384–1396. 22 indexed citations
3.
Rinne, Juha O., Dean F. Wong, David A. Wolk, et al.. (2012). [18F]Flutemetamol PET imaging and cortical biopsy histopathology for fibrillar amyloid β detection in living subjects with normal pressure hydrocephalus: pooled analysis of four studies. Acta Neuropathologica. 124(6). 833–845. 62 indexed citations
4.
Bullemer, Peter, et al.. (2012). Impact of Functional and Schematic Overview Displays on Console Operators’ Situation Awareness. Journal of Cognitive Engineering and Decision Making. 6(2). 141–164. 17 indexed citations
5.
Wolk, David A., Juha O. Rinne, Dean F. Wong, et al.. (2012). [18F]-Flutemetamol PET Amyloid Imaging and Cortical Biopsy Histopathology in Normal Pressure Hydrocephalus: Pooled Analysis of Four Studies (S34.001). Neurology. 78(Meeting Abstracts 1). S34.001–S34.001. 1 indexed citations
6.
Buckley, Christopher, Miloš D. Ikonomović, Adrian Smith, et al.. (2012). O1‐04‐02: Flutemetamol F 18 injection PET images reflect brain beta‐amyloid levels. Alzheimer s & Dementia. 8(4S_Part_3). 4 indexed citations
7.
Knapp, Lloyd, et al.. (2009). The safety profile of quinapril: Is there a difference among ACE inhibitors?. Clinical Cardiology. 13(S7). VII–39. 1 indexed citations
8.
9.
Raal, Frederick J., et al.. (2003). Avasimibe, an ACAT inhibitor, enhances the lipid lowering effect of atorvastatin in subjects with homozygous familial hypercholesterolemia. Atherosclerosis. 171(2). 273–279. 36 indexed citations
10.
11.
Assmann, Gerd, J. G. Smilde, Adrie J.A.M. Withagen, et al.. (1999). Efficacy and safety of atorvastatin and pravastatin in patients with hypercholesterolemia. European Journal of Internal Medicine. 10(1). 33–39. 4 indexed citations
12.
Koren, Michael, Dean G. Smith, Michael H. Davidson, et al.. (1998). The Cost of Reaching National Cholesterol Education Program (NCEP) Goals in Hypercholesterolaemic Patients. PharmacoEconomics. 14(1). 59–70. 51 indexed citations
13.
14.
Black, Donald M., et al.. (1997). Cost Effectiveness of Treatment to National Cholesterol Education Panel (NCEP) Targets with HMG-CoA Reductase Inhibitors. PharmacoEconomics. 12(2). 278–285. 8 indexed citations
15.
Whitcomb, Randall W., et al.. (1997). Impaired Glucose Tolerance is Normalized by Treatment With the Thiazolidinedione Troglitazone. Diabetes Care. 20(2). 188–193. 111 indexed citations
16.
Texter, Michele, et al.. (1994). Ambulatory blood pressure monitoring can play an integral role in patient selection, dosage adjustment and efficacy assessment in clinical trials of antihypertensive agents. Journal of Hypertension. 12(Supplement 7). S39???S46–S39???S46. 17 indexed citations
17.
Knapp, Lloyd, et al.. (1990). The Safety and Tolerability of Quinapril. Journal of Cardiovascular Pharmacology. 15. S47–S55. 14 indexed citations
18.
Frome, Edward L., Donna L. Cragle, & Richard McLain. (1990). Poisson Regression Analysis of the Mortality among a Cohort of World War II Nuclear Industry Workers. Radiation Research. 123(2). 138–138. 24 indexed citations
19.
Cragle, Donna L., Richard McLain, Judith R. Qualters, et al.. (1988). Mortality among workers at a nuclear fuels production facility. American Journal of Industrial Medicine. 14(4). 379–401. 43 indexed citations
20.
McLain, Richard & E. L. Frome. (1986). A system for the analysis of cohort mortality data. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 5 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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