Nisa N. Kelly

1.0k total citations · 1 hit paper
24 papers, 693 citations indexed

About

Nisa N. Kelly is a scholar working on Physiology, Computational Mechanics and Social Psychology. According to data from OpenAlex, Nisa N. Kelly has authored 24 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Physiology, 3 papers in Computational Mechanics and 2 papers in Social Psychology. Recurrent topics in Nisa N. Kelly's work include Body Composition Measurement Techniques (19 papers), Nutrition and Health in Aging (13 papers) and Thermoregulation and physiological responses (12 papers). Nisa N. Kelly is often cited by papers focused on Body Composition Measurement Techniques (19 papers), Nutrition and Health in Aging (13 papers) and Thermoregulation and physiological responses (12 papers). Nisa N. Kelly collaborates with scholars based in United States, France and Belgium. Nisa N. Kelly's co-authors include John Shepherd, Steven B. Heymsfield, Yong En Liu, Ethan J. Weiss, Dylan A Lowe, Jeffrey E. Olgin, Eric Vittinghoff, Nancy Wu, Errol J. Philip and M. C. Wong and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Clinical Nutrition and Medical Physics.

In The Last Decade

Nisa N. Kelly

23 papers receiving 687 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Effects of Time-Restricted Eating on Weight Loss and Other Metabolic Parameters in Women and Men With Overweight and Obesity

2020 357 citations Dylan A Lowe, Nancy Wu et al. JAMA Internal Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nisa N. Kelly United States	11	629	198	127	48	44	24	693
Yong En Liu United States	8	437 0.7×	197 1.0×	68 0.5×	11 0.2×	41 0.9×	9	471
Jesse Mindel United States	8	183 0.3×	115 0.6×	44 0.3×	13 0.3×	24 0.5×	15	344
Andrew Wiemken United States	9	246 0.4×	145 0.7×	28 0.2×	12 0.3×	11 0.3×	20	324
O Lammert Denmark	12	319 0.5×	37 0.2×	131 1.0×	18 0.4×	30 0.7×	31	469
Nuno Casanova United Kingdom	9	176 0.3×	70 0.4×	91 0.7×	15 0.3×	21 0.5×	28	337
Mariam Louis United States	7	269 0.4×	184 0.9×	53 0.4×	4 0.1×	19 0.4×	22	423
Harriet A. Carroll United Kingdom	11	200 0.3×	43 0.2×	87 0.7×	4 0.1×	29 0.7×	19	320
Sara Aprano Italy	13	301 0.5×	120 0.6×	153 1.2×	3 0.1×	95 2.2×	20	522
Christelle van der Walt United States	10	363 0.6×	283 1.4×	76 0.6×	5 0.1×	9 0.2×	13	540
Monique Mendelson France	13	435 0.7×	223 1.1×	92 0.7×	3 0.1×	10 0.2×	37	642

Countries citing papers authored by Nisa N. Kelly

Since Specialization

Citations

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

Fields of papers citing papers by Nisa N. Kelly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nisa N. Kelly. 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 Nisa N. Kelly. The network helps show where Nisa N. Kelly may publish in the future.

Co-authorship network of co-authors of Nisa N. Kelly

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

All Works

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20 of 20 papers shown

Liu, Jason, M. C. Wong, Nisa N. Kelly, et al.. (2025). 3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology. npj Digital Medicine. 8(1). 79–79.

Wong, M. C., et al.. (2024). Generative deep learning furthers the understanding of local distributions of fat and muscle on body shape and health using 3D surface scans. SHILAP Revista de lepidopterología. 4(1). 13–13. 4 indexed citations

Bennett, Jonathan P., Yong En Liu, Nisa N. Kelly, et al.. (2024). Variations in bioelectrical impedance devices impact raw measures comparisons and subsequent prediction of body composition using recommended estimation equations. Clinical Nutrition ESPEN. 63. 540–550. 12 indexed citations

Bennett, Jonathan P., M. C. Wong, Yong En Liu, et al.. (2024). Trunk-to-leg volume and appendicular lean mass from a commercial 3-dimensional optical body scanner for disease risk identification. Clinical Nutrition. 43(10). 2430–2437. 2 indexed citations

Wong, M. C., Jonathan P. Bennett, Nisa N. Kelly, et al.. (2024). Evaluation of body shape as a human body composition assessment in isolated conditions and remote environments. npj Microgravity. 10(1). 72–72. 2 indexed citations

Bennett, Jonathan P., Yong En Liu, Nisa N. Kelly, et al.. (2023). Development and validation of a rapid multicompartment body composition model using 3-dimensional optical imaging and bioelectrical impedance analysis. Clinical Nutrition. 43(2). 346–356. 8 indexed citations

Wong, M. C., Samantha Kennedy, Nisa N. Kelly, et al.. (2023). Automated body composition estimation from device-agnostic 3D optical scans in pediatric populations. Clinical Nutrition. 42(9). 1619–1630. 3 indexed citations

Wong, M. C., Jonathan P. Bennett, Nisa N. Kelly, et al.. (2023). Accuracy and Precision of 3-dimensional Optical Imaging for Body Composition by Age, BMI, and Ethnicity. American Journal of Clinical Nutrition. 118(3). 657–671. 8 indexed citations

Garber, Andrea K., Jonathan P. Bennett, M. C. Wong, et al.. (2023). Cross-sectional assessment of body composition and detection of malnutrition risk in participants with low body mass index and eating disorders using 3D optical surface scans. American Journal of Clinical Nutrition. 118(4). 812–821. 5 indexed citations

10.

Wong, M. C., Samantha Kennedy, Nisa N. Kelly, et al.. (2022). A device‐agnostic shape model for automated body composition estimates from 3D optical scans. Medical Physics. 49(10). 6395–6409. 12 indexed citations

11.

Bennett, Jonathan P., Yong En Liu, Nisa N. Kelly, et al.. (2022). Next-generation smart watches to estimate whole-body composition using bioimpedance analysis: accuracy and precision in a diverse, multiethnic sample. American Journal of Clinical Nutrition. 116(5). 1418–1429. 21 indexed citations

12.

Wong, M. C., Bennett K. Ng, Ian Pagano, et al.. (2021). A pose‐independent method for accurate and precise body composition from 3D optical scans. Obesity. 29(11). 1835–1847. 19 indexed citations

13.

Kennedy, Samantha, et al.. (2021). Digital anthropometric evaluation of young children: comparison to results acquired with conventional anthropometry. European Journal of Clinical Nutrition. 76(2). 251–260. 9 indexed citations

14.

Panizza, Chloe, M. C. Wong, Nisa N. Kelly, et al.. (2020). Diet Quality and Visceral Adiposity among a Multiethnic Population of Young, Middle, and Older Aged Adults. Current Developments in Nutrition. 4(6). nzaa090–nzaa090. 10 indexed citations

15.

Maskarinec, Gertraud, Andrea K. Garber, M. C. Wong, et al.. (2020). Predictors of liver fat among children and adolescents from five different ethnic groups. Obesity Science & Practice. 7(1). 53–62. 4 indexed citations

16.

Lowe, Dylan A, Nancy Wu, Nisa N. Kelly, et al.. (2020). Effects of Time-Restricted Eating on Weight Loss and Other Metabolic Parameters in Women and Men With Overweight and Obesity. JAMA Internal Medicine. 180(11). 1491–1491. 357 indexed citations breakdown →

17.

Wong, M. C., Bennett K. Ng, Samantha Kennedy, et al.. (2019). Children and Adolescents’ Anthropometrics Body Composition from 3‐D Optical Surface Scans. Obesity. 27(11). 1738–1749. 47 indexed citations

18.

Kennedy, Samantha, et al.. (2019). Optical imaging technology for body size and shape analysis: evaluation of a system designed for personal use. European Journal of Clinical Nutrition. 74(6). 920–929. 16 indexed citations

19.

Ng, Bennett K., Markus J. Sommer, M. C. Wong, et al.. (2019). Detailed 3-dimensional body shape features predict body composition, blood metabolites, and functional strength: the Shape Up! studies. American Journal of Clinical Nutrition. 110(6). 1316–1326. 67 indexed citations

20.

Lochard, J., Thierry Schneider, & Nisa N. Kelly. (1992). Evaluation of countermeasures to be taken to assure safe living conditions to the population affected by the Chernobyl accident in the USSR. 3 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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