M Feinleib

8.8k total citations · 2 hit papers
70 papers, 6.5k citations indexed

About

M Feinleib is a scholar working on Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, M Feinleib has authored 70 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 9 papers in Public Health, Environmental and Occupational Health and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in M Feinleib's work include Health Promotion and Cardiovascular Prevention (5 papers), Cardiovascular Function and Risk Factors (4 papers) and Birth, Development, and Health (4 papers). M Feinleib is often cited by papers focused on Health Promotion and Cardiovascular Prevention (5 papers), Cardiovascular Function and Risk Factors (4 papers) and Birth, Development, and Health (4 papers). M Feinleib collaborates with scholars based in United States, Sweden and Estonia. M Feinleib's co-authors include W P Castelli, Patricia McNamara, Helen B. Hubert, Robert J. Garrison, William B. Kannel, Marvin Zelen, Richard J. Havlik, William P. Castelli, Sheldon L. Padgett and R. R. Fabsitz and has published in prestigious journals such as Circulation, American Journal of Epidemiology and American Journal of Public Health.

In The Last Decade

M Feinleib

68 papers receiving 6.0k citations

Hit Papers

Obesity as an independent risk factor for cardiovascular ... 1969 2026 1988 2007 1983 1969 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M Feinleib United States 29 2.4k 1.3k 1.2k 1.2k 945 70 6.5k
G Berglund Sweden 43 3.3k 1.4× 1.1k 0.9× 1.5k 1.2× 937 0.8× 1.2k 1.2× 143 7.5k
Albert Oberman United States 43 3.5k 1.4× 1.1k 0.8× 1.0k 0.8× 1.2k 1.0× 973 1.0× 123 6.4k
Nemat O. Borhani United States 39 4.1k 1.7× 1.3k 0.9× 1.3k 1.1× 940 0.8× 1.8k 1.9× 124 9.6k
Daniel McGee United States 50 2.0k 0.8× 1.7k 1.3× 1.5k 1.3× 1.1k 0.9× 908 1.0× 107 7.8k
W P Castelli United States 13 2.0k 0.8× 1.1k 0.8× 1.3k 1.1× 1.1k 0.9× 1.0k 1.1× 24 4.9k
Michael J. Horan United States 21 3.9k 1.6× 1.3k 1.0× 1.3k 1.0× 587 0.5× 752 0.8× 49 6.3k
Peter W.F. Wilson United States 23 1.7k 0.7× 965 0.7× 1.3k 1.0× 931 0.8× 1.4k 1.4× 26 5.7k
Richard E. Tracy United States 30 2.8k 1.1× 2.4k 1.8× 1.6k 1.3× 845 0.7× 1.2k 1.3× 99 6.9k
Lennart Welin Sweden 32 3.1k 1.3× 1.3k 1.0× 2.9k 2.4× 1.8k 1.5× 1.0k 1.1× 84 8.9k
Helen B. Hubert United States 32 1.6k 0.7× 1.5k 1.2× 802 0.7× 1.6k 1.4× 988 1.0× 46 7.0k

Countries citing papers authored by M Feinleib

Since Specialization
Citations

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

Fields of papers citing papers by M Feinleib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Feinleib

This figure shows the co-authorship network connecting the top 25 collaborators of M Feinleib. A scholar is included among the top collaborators of M Feinleib 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 M Feinleib. M Feinleib 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.
Haynes, S G & M Feinleib. (2015). Type A Behavior and the Incidence of Coronary Heart Disease in the Framingham Heart Study. Advances in cardiology. 29. 85–95. 3 indexed citations
2.
Trichopoulos, Dimitrios, Philip Cole, E. Francis Cook, et al.. (2008). Brian MacMahon (1923–2007): founder of modern epidemiology. Cancer Causes & Control. 19(4). 329–337. 2 indexed citations
3.
Feinleib, M, Shirley A.A. Beresford, Barbara A. Bowman, et al.. (2001). Folate Fortification for the Prevention of Birth Defects: Case Study. American Journal of Epidemiology. 154(12). S60–S69. 17 indexed citations
4.
Rehm, J, Christopher T. Sempos, L. Kohlmeier, et al.. (2000). A comparison of serum total cholesterol levels and their determinants between the Federal Republic of Germany and the United States. European Journal of Epidemiology. 16(7). 669–675. 4 indexed citations
5.
Feinleib, M, et al.. (1997). Could salicylates in food have contributed to the decline in cardiovascular disease mortality? A new hypothesis.. American Journal of Public Health. 87(9). 1554–1557. 8 indexed citations
6.
Feinleib, M, et al.. (1994). Mortality surveillance system: models from the second year.. PubMed. 1–91. 1 indexed citations
7.
Pinsky, Joan L., Alan M. Jette, Laurence G. Branch, Kannel Wb, & M Feinleib. (1990). The Framingham Disability Study: relationship of various coronary heart disease manifestations to disability in older persons living in the community.. American Journal of Public Health. 80(11). 1363–1367. 177 indexed citations
8.
Feinleib, M, et al.. (1988). Coronary heart disease in the elderly.. PubMed. 14(8). 66–73. 49 indexed citations
9.
Rogot, Eugene, et al.. (1985). The British-Norwegian migrant study: 5-year mortality differentials due to cigarette smoking.. PubMed. 100(3). 301–7. 2 indexed citations
10.
Fabsitz, R. R., M Feinleib, & Helen B. Hubert. (1985). Regression analysis of data with correlated errors: An example from the NHLBI twin study. Journal of Chronic Diseases. 38(2). 165–170. 17 indexed citations
11.
Feinleib, M, et al.. (1985). Trends in health in the United States.. Environmental Health Perspectives. 62. 267–276. 7 indexed citations
12.
Feinleib, M. (1985). The Framingham Study: sample selection, follow-up, and methods of analyses.. PubMed. 67. 59–64. 11 indexed citations
13.
Feinleib, M & Jacob J. Feldman. (1984). The NCHS and “Rainbow Reviews”. Journal of Chronic Diseases. 37(9-10). 679–680. 2 indexed citations
14.
Hofman, Albert, et al.. (1983). Does change in blood pressure predict heart disease?. BMJ. 287(6387). 267–269. 19 indexed citations
15.
Rogot, Eugene, et al.. (1983). On the feasibility of linking census samples to the National Death Index for epidemiologic studies: a progress report.. American Journal of Public Health. 73(11). 1265–1269. 38 indexed citations
16.
Patrick, Clifford H., Yuko Y. Palesch, M Feinleib, & Jacob A. Brody. (1982). Sex differences in declining cohort death rates from heart disease.. American Journal of Public Health. 72(2). 161–166. 29 indexed citations
17.
Fabsitz, R. R., M Feinleib, & Zdenek Hrubec. (1980). Weight Changes in Adult Twins. Acta geneticae medicae et gemellologiae twin research. 29(4). 273–279. 20 indexed citations
18.
Feinleib, M, et al.. (1980). GEOGRAPHIC PATTERNS IN COUNTY MORTALITY RATES FROM CARDIOVASCULAR DISEASES. American Journal of Epidemiology. 111(3). 315–328. 57 indexed citations
19.
Feinleib, M, et al.. (1979). Computer Mapping at NHLBI. Europe PMC (PubMed Central). 833–835. 1 indexed citations
20.
Garrison, Robert J., William B. Kannel, M Feinleib, et al.. (1978). Cigarette smoking and HDL cholesterol the Framingham offspring study. Atherosclerosis. 30(1). 17–25. 251 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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