C McManus

2.2k total citations · 2 hit papers
9 papers, 1.8k citations indexed

About

C McManus is a scholar working on Physiology, Cell Biology and Nutrition and Dietetics. According to data from OpenAlex, C McManus has authored 9 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 4 papers in Cell Biology and 3 papers in Nutrition and Dietetics. Recurrent topics in C McManus's work include Nutrition and Health in Aging (7 papers), Body Composition Measurement Techniques (7 papers) and Muscle metabolism and nutrition (4 papers). C McManus is often cited by papers focused on Nutrition and Health in Aging (7 papers), Body Composition Measurement Techniques (7 papers) and Muscle metabolism and nutrition (4 papers). C McManus collaborates with scholars based in United States. C McManus's co-authors include Steven B. Heymsfield, Janet E. Smith, Carlos L. Arteaga, Samuel J. Moffitt, Janet L. Smith, Victoria L. Stevens, V.I. STEVENS, SB Heymsfield, C. Alvin Head and Gerald W. Staton and has published in prestigious journals such as American Journal of Clinical Nutrition, Cancer and Journal of Parenteral and Enteral Nutrition.

In The Last Decade

C McManus

9 papers receiving 1.7k citations

Hit Papers

Measurement of muscle mass in humans: validity of the 24-... 1982 2026 1996 2011 1983 1982 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C McManus United States 9 1.1k 296 282 249 169 9 1.8k
SB Heymsfield United States 19 1.6k 1.4× 303 1.0× 108 0.4× 204 0.8× 434 2.6× 28 2.1k
RN Pierson United States 14 1.8k 1.7× 205 0.7× 90 0.3× 210 0.8× 378 2.2× 14 2.3k
W. W. Bolonchuk United States 13 1.3k 1.2× 291 1.0× 65 0.2× 159 0.6× 178 1.1× 20 1.9k
E. Morelli Italy 23 357 0.3× 139 0.5× 571 2.0× 158 0.6× 126 0.7× 63 1.2k
Jocelyn Whitwell Canada 13 880 0.8× 574 1.9× 72 0.3× 160 0.6× 121 0.7× 14 1.5k
Fran Tylavsky United States 21 1.6k 1.5× 239 0.8× 108 0.4× 169 0.7× 416 2.5× 35 2.6k
Paola Lucidi Italy 28 825 0.8× 332 1.1× 93 0.3× 268 1.1× 123 0.7× 58 2.3k
W.M.C. Chumlea United States 10 1.6k 1.5× 288 1.0× 42 0.1× 131 0.5× 300 1.8× 15 2.2k
Anja Bosy‐Westphal Germany 18 1.7k 1.6× 158 0.5× 624 2.2× 81 0.3× 315 1.9× 24 2.5k
W. A. Siders United States 8 1.1k 1.0× 82 0.3× 47 0.2× 172 0.7× 174 1.0× 8 1.5k

Countries citing papers authored by C McManus

Since Specialization
Citations

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

Fields of papers citing papers by C McManus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C McManus

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

All Works

9 of 9 papers shown
1.
Heymsfield, Steven B. & C McManus. (1985). Tissue components of weight loss in cancer patients. A new method of study and preliminary observations. Cancer. 55(S1). 238–249. 97 indexed citations
2.
Heymsfield, Steven B., et al.. (1984). Nutrient bioavailability from nasojejunally administered enteral formulas: comparison to solid food. American Journal of Clinical Nutrition. 39(2). 243–250. 10 indexed citations
3.
Head, C. Alvin, et al.. (1984). A Simple and Accurate Indirect Calorimetry System for Assessment of Resting Energy Expenditure. Journal of Parenteral and Enteral Nutrition. 8(1). 45–48. 33 indexed citations
4.
McManus, C, et al.. (1984). Human Gradient‐Layer Calorimeter: Development of an Accurate and Practical Instrument for Clinical Studies. Journal of Parenteral and Enteral Nutrition. 8(3). 317–320. 11 indexed citations
5.
Heymsfield, Steven B., et al.. (1984). Respiratory, cardiovascular, and metabolic effects of enteral hyperalimentation: influence of formula dose and composition. American Journal of Clinical Nutrition. 40(1). 116–130. 41 indexed citations
6.
Arteaga, Carlos L., et al.. (1983). Measurement of muscle mass in humans: validity of the 24-hour urinary creatinine method. American Journal of Clinical Nutrition. 37(3). 478–494. 680 indexed citations breakdown →
7.
Heymsfield, SB, C McManus, V.I. STEVENS, & Janet E. Smith. (1982). Muscle mass: reliable indicator of protein-energy malnutrition severity and outcome. American Journal of Clinical Nutrition. 35(5). 1192–1199. 170 indexed citations
8.
Heymsfield, SB, et al.. (1982). Biochemical composition of muscle in normal and semistarved human subjects: relevance to anthropometric measurements. American Journal of Clinical Nutrition. 36(1). 131–142. 54 indexed citations
9.
Heymsfield, Steven B., et al.. (1982). Anthropometric measurement of muscle mass: revised equations for calculating bone-free arm muscle area. American Journal of Clinical Nutrition. 36(4). 680–690. 658 indexed citations breakdown →

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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