Manjiang Yao

2.0k total citations
24 papers, 1.4k citations indexed

About

Manjiang Yao is a scholar working on Physiology, Nutrition and Dietetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Manjiang Yao has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 10 papers in Nutrition and Dietetics and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Manjiang Yao's work include Infant Nutrition and Health (9 papers), Child Nutrition and Feeding Issues (8 papers) and Body Composition Measurement Techniques (7 papers). Manjiang Yao is often cited by papers focused on Infant Nutrition and Health (9 papers), Child Nutrition and Feeding Issues (8 papers) and Body Composition Measurement Techniques (7 papers). Manjiang Yao collaborates with scholars based in United States, China and Switzerland. Manjiang Yao's co-authors include Susan B. Roberts, Megan A. McCrory, William W. Wong, Paul Fuss, Guansheng Ma, Nicholas P. Hays, Angela G Vinken, Kenneth J. Ellis, William C. Heird and Roman J. Shypailo and has published in prestigious journals such as American Journal of Clinical Nutrition, The FASEB Journal and Journal of Nutrition.

In The Last Decade

Manjiang Yao

24 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manjiang Yao United States 17 621 569 457 386 158 24 1.4k
Sirinuch Chomtho Thailand 17 577 0.9× 519 0.9× 495 1.1× 582 1.5× 126 0.8× 49 1.4k
Stefanie Sausenthaler Germany 24 336 0.5× 341 0.6× 494 1.1× 186 0.5× 155 1.0× 37 1.4k
Carine Lenders United States 21 864 1.4× 361 0.6× 686 1.5× 330 0.9× 96 0.6× 48 2.1k
Richard S. Strauss United States 5 847 1.4× 182 0.3× 302 0.7× 397 1.0× 115 0.7× 7 1.6k
Gregers S. Andersen Denmark 20 315 0.5× 295 0.5× 269 0.6× 293 0.8× 165 1.0× 78 1.4k
Carley Grimes Australia 22 1.2k 2.0× 886 1.6× 340 0.7× 234 0.6× 112 0.7× 76 1.8k
Leone Craig United Kingdom 19 458 0.7× 159 0.3× 505 1.1× 187 0.5× 94 0.6× 30 1.4k
Jillian Trabulsi United States 16 553 0.9× 422 0.7× 441 1.0× 113 0.3× 195 1.2× 45 1.3k
JG Hautvast Netherlands 18 549 0.9× 354 0.6× 458 1.0× 291 0.8× 64 0.4× 23 1.4k
Neville H. Golden United States 8 536 0.9× 343 0.6× 123 0.3× 209 0.5× 159 1.0× 8 1.2k

Countries citing papers authored by Manjiang Yao

Since Specialization
Citations

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

Fields of papers citing papers by Manjiang Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manjiang Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Manjiang Yao. A scholar is included among the top collaborators of Manjiang Yao 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 Manjiang Yao. Manjiang Yao 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
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Yao, Manjiang, et al.. (2024). Readable and neutral? Reliability of crowdsourced misinformation debunking through linguistic and psycholinguistic cues. Frontiers in Psychology. 15. 1478176–1478176. 1 indexed citations
3.
Lin, Weili, Kristine Baluyot, Manjiang Yao, et al.. (2019). Early-Life Nutrition and Cognitive Development: Imaging Approaches. Nestlé Nutrition Institute Workshop series. 90. 121–135. 7 indexed citations
4.
Mao, Meng, Lan Zhang, Jian Yan, et al.. (2018). Infant Feeding Regimens and Gastrointestinal Tolerance: A Multicenter, Prospective, Observational Cohort Study in China. Global Pediatric Health. 5. 2333794X17750271–2333794X17750271. 9 indexed citations
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Hays, Nicholas P., Meng Mao, Lan Zhang, et al.. (2016). Infant feeding and health-related quality of life in healthy Chinese infants: results from a prospective, observational cohort study. Health and Quality of Life Outcomes. 14(1). 116–116. 4 indexed citations
7.
Wernimont, Susan M., Bernard Berger, Robert Northington, María Rosario Capeding, & Manjiang Yao. (2016). Effects of Term Infant Formula Supplemented with Oligofructose on Intestinal Microbiota Composition, Diversity, and Metabolic Activity. The FASEB Journal. 30(S1). 1 indexed citations
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Yao, Manjiang & Susan B. Roberts. (2009). Dietary Energy Density and Weight Regulation. Nutrition Reviews. 59(8). 247–258. 88 indexed citations
11.
Ellis, Kenneth J., et al.. (2007). Body-composition assessment in infancy: air-displacement plethysmography compared with a reference 4-compartment model. American Journal of Clinical Nutrition. 85(1). 90–95. 242 indexed citations
12.
Ma, Guansheng, Manjiang Yao, Yan Liu, et al.. (2004). Validation of a new pediatric air-displacement plethysmograph for assessing body composition in infants. American Journal of Clinical Nutrition. 79(4). 653–660. 210 indexed citations
13.
Fields, David A., et al.. (2004). Child‐Specific Thoracic Gas Volume Prediction Equations for Air‐Displacement Plethysmography. Obesity Research. 12(11). 1797–1804. 44 indexed citations
14.
Yao, Manjiang, Megan A. McCrory, Guansheng Ma, et al.. (2003). Relative influence of diet and physical activity on body composition in urban Chinese adults. American Journal of Clinical Nutrition. 77(6). 1409–1416. 78 indexed citations
15.
Yao, Manjiang, et al.. (2003). Preliminary evaluation of a new pediatric air displacement plethysmograph for body composition assessment in infants. Acta Diabetologica. 40(0). s55–s58. 46 indexed citations
16.
Yao, Manjiang, Alice H. Lichtenstein, Susan B. Roberts, et al.. (2003). Relative influence of diet and physical activity on cardiovascular risk factors in urban Chinese adults. International Journal of Obesity. 27(8). 920–932. 43 indexed citations
17.
Gao, Xiang, Manjiang Yao, Megan A. McCrory, et al.. (2003). Dietary Pattern Is Associated with Homocysteine and B Vitamin Status in an Urban Chinese Population. Journal of Nutrition. 133(11). 3636–3642. 47 indexed citations
18.
Yao, Manjiang, Susan B. Roberts, Megan A. McCrory, Guansheng Ma, & Hui Pan. (2002). Field Methods for Body Composition Assessment Are Valid in Healthy Chinese Adults. Journal of Nutrition. 132(2). 310–317. 40 indexed citations
19.
Yao, Manjiang, et al.. (2002). Energy requirements of urban Chinese adults with manual or sedentary occupations, determined using the doubly labeled water method. European Journal of Clinical Nutrition. 56(7). 575–584. 23 indexed citations
20.
McCrory, Megan A., Paul Fuss, Manjiang Yao, et al.. (1999). Dietary variety within food groups: association with energy intake and body fatness in men and women. American Journal of Clinical Nutrition. 69(3). 440–447. 304 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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