D C Muller

1.2k total citations
9 papers, 1.0k citations indexed

About

D C Muller is a scholar working on Physiology, Epidemiology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, D C Muller has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Physiology, 2 papers in Epidemiology and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in D C Muller's work include Nutrition and Health in Aging (2 papers), Body Composition Measurement Techniques (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). D C Muller is often cited by papers focused on Nutrition and Health in Aging (2 papers), Body Composition Measurement Techniques (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). D C Muller collaborates with scholars based in United States, Italy and Canada. D C Muller's co-authors include R Andres, John D. Sorkin, Jacob C. Seidell, J. D. Tobin, Patricia J. Coon, Lauren Lissner, Hiroshi Shimokata, J Hallfrisch, D. T. Drinkwater and L. Ferrucci and has published in prestigious journals such as The Journals of Gerontology Series A, Epidemiologic Reviews and European Journal of Sport Science.

In The Last Decade

D C Muller

9 papers receiving 977 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D C Muller United States	8	587	386	146	114	109	9	1.0k
ET Poehlman United States	11	552 0.9×	329 0.9×	173 1.2×	165 1.4×	62 0.6×	11	977
Angelo Tremblay Canada	9	592 1.0×	317 0.8×	246 1.7×	166 1.5×	129 1.2×	10	1.1k
L. Bissoli Italy	13	699 1.2×	376 1.0×	148 1.0×	62 0.5×	53 0.5×	19	1.2k
Michael I. Goran United States	9	503 0.9×	662 1.7×	100 0.7×	48 0.4×	86 0.8×	10	1.1k
J Enderlé Germany	15	672 1.1×	310 0.8×	121 0.8×	74 0.6×	75 0.7×	43	1.3k
Nicolas D. Knuth United States	10	680 1.2×	214 0.6×	110 0.8×	110 1.0×	155 1.4×	21	995
Basilio Moreno Spain	14	521 0.9×	407 1.1×	308 2.1×	77 0.7×	37 0.3×	27	1.2k
David W. Brock United States	14	529 0.9×	367 1.0×	110 0.8×	78 0.7×	25 0.2×	34	1.1k
R Woo United States	9	337 0.6×	267 0.7×	73 0.5×	112 1.0×	70 0.6×	10	659
Éva Erhardt Hungary	16	274 0.5×	329 0.9×	161 1.1×	48 0.4×	76 0.7×	45	899

Countries citing papers authored by D C Muller

Since Specialization

Citations

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

Fields of papers citing papers by D C Muller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D C Muller

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

All Works

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9 of 9 papers shown

Nunes, Catarina L., Catarina N. Matias, Rúben Francisco, et al.. (2019). Are predictive equations a valid method of assessing the resting metabolic rate of overweight or obese former athletes?. European Journal of Sport Science. 20(9). 1225–1234. 2 indexed citations

Scuteri, Angelo, C Morrell, Samer S. Najjar, et al.. (2009). Longitudinal Paths to the Metabolic Syndrome: Can the Incidence of the Metabolic Syndrome Be Predicted? The Baltimore Longitudinal Study of Aging. The Journals of Gerontology Series A. 64A(5). 590–598. 35 indexed citations

Sorkin, John D., et al.. (1999). Longitudinal Change in the Heights of Men and Women: Consequential Eftects on Body Mass Index. Epidemiologic Reviews. 21(2). 247–260. 105 indexed citations

Lethbridge‐Çejku, Margaret, D C Muller, Dariush Elahi, et al.. (1997). Metabolic correlates of obesity and radiographic features of knee osteoarthritis: data from the Baltimore Longitudinal Study of Aging.. PubMed. 24(4). 702–7. 38 indexed citations

Seidell, Jacob C., R Andres, John D. Sorkin, & D C Muller. (1994). The sagittal waist diameter and mortality in men: the Baltimore Longitudinal Study on Aging.. PubMed. 18(1). 61–7. 82 indexed citations

Seidell, Jacob C., D C Muller, John D. Sorkin, & R Andres. (1992). Fasting respiratory exchange ratio and resting metabolic rate as predictors of weight gain: the Baltimore Longitudinal Study on Aging.. PubMed. 16(9). 667–74. 263 indexed citations

Hallfrisch, J, D C Muller, D. T. Drinkwater, J. D. Tobin, & R Andres. (1990). Continuing Diet Trends in Men: The Baltimore Longitudinal Study of Aging (1961-1987). Journal of Gerontology. 45(6). M186–M191. 102 indexed citations

Lissner, Lauren, R Andres, D C Muller, & Hiroshi Shimokata. (1990). Body weight variability in men: metabolic rate, health and longevity.. PubMed. 14(4). 373–83. 121 indexed citations

Tobin, J. D., et al.. (1989). Studies in the Distribution of Body Fat: I. Effects of Age, Sex, and Obesity. Journal of Gerontology. 44(2). M66–M73. 270 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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