Christine G. Lee

3.9k total citations · 2 hit papers
27 papers, 2.2k citations indexed

About

Christine G. Lee is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Christine G. Lee has authored 27 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 9 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Surgery. Recurrent topics in Christine G. Lee's work include Nutrition and Health in Aging (7 papers), Body Composition Measurement Techniques (5 papers) and Vitamin D Research Studies (4 papers). Christine G. Lee is often cited by papers focused on Nutrition and Health in Aging (7 papers), Body Composition Measurement Techniques (5 papers) and Vitamin D Research Studies (4 papers). Christine G. Lee collaborates with scholars based in United States, United Kingdom and Sweden. Christine G. Lee's co-authors include Eric Orwoll, Edward J. Boyko, Andrew R. Hoffman, Peggy M. Cawthon, Jane A. Cauley, Kristine E. Ensrud, Elizabeth Barrett‐Connor, Elsa S. Strotmeyer, Susan A. Everson‐Rose and Cora E. Lewis and has published in prestigious journals such as Circulation, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Christine G. Lee

26 papers receiving 2.1k 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.

Gait Speed Predicts Incident Disability: A Pooled Analysis

2015 304 citations Subashan Perera, Kushang V. Patel et al. The Journals of Gerontology Series A profile →
Precision Medicine in Diabetes: A Consensus Report From the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD)

2020 224 citations Wendy K. Chung, Karel Erion et al. Diabetes Care profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christine G. Lee United States	23	978	584	350	326	268	27	2.2k
Preethi Srikanthan United States	16	1.4k 1.4×	432 0.7×	321 0.9×	406 1.2×	165 0.6×	36	2.7k
Chih‐Cheng Hsu Taiwan	23	572 0.6×	671 1.1×	435 1.2×	307 0.9×	91 0.3×	128	2.2k
Chia-Ing Li Taiwan	28	514 0.5×	635 1.1×	159 0.5×	293 0.9×	89 0.3×	66	2.1k
Tae Nyun Kim South Korea	26	2.1k 2.2×	451 0.8×	405 1.2×	516 1.6×	387 1.4×	80	3.3k
Seon Mee Kang South Korea	21	861 0.9×	639 1.1×	228 0.7×	223 0.7×	118 0.4×	42	2.2k
Patrice Darmon France	27	1.1k 1.2×	619 1.1×	420 1.2×	453 1.4×	100 0.4×	86	2.7k
Zaki Hassan‐Smith United Kingdom	20	482 0.5×	752 1.3×	405 1.2×	188 0.6×	187 0.7×	50	1.7k
Sae Jeong Yang South Korea	29	1.5k 1.5×	473 0.8×	327 0.9×	421 1.3×	219 0.8×	43	2.8k
Steven Kritchevsky United States	7	730 0.7×	467 0.8×	305 0.9×	151 0.5×	123 0.5×	8	1.7k
Carl Johan Östgren Sweden	32	707 0.7×	963 1.6×	400 1.1×	363 1.1×	185 0.7×	145	2.9k

Countries citing papers authored by Christine G. Lee

Since Specialization

Citations

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

Fields of papers citing papers by Christine G. Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christine G. Lee. 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 Christine G. Lee. The network helps show where Christine G. Lee may publish in the future.

Co-authorship network of co-authors of Christine G. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Christine G. Lee. A scholar is included among the top collaborators of Christine G. Lee 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 Christine G. Lee. Christine G. Lee 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

Munshi, Medha, Elizabeth M. Venditti, Ashley H. Tjaden, et al.. (2024). Long-term impact of Diabetes Prevention Program interventions on walking endurance. Frontiers in Public Health. 12. 1470035–1470035.

Goldberg, Ronald, Trevor J. Orchard, Jill P. Crandall, et al.. (2022). Effects of Long-term Metformin and Lifestyle Interventions on Cardiovascular Events in the Diabetes Prevention Program and Its Outcome Study. Circulation. 145(22). 1632–1641. 96 indexed citations

Chung, Wendy K., Karel Erion, José C. Florez, et al.. (2020). Precision Medicine in Diabetes: A Consensus Report From the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetes Care. 43(7). 1617–1635. 224 indexed citations breakdown →

Munshi, Medha, Graydon S. Meneilly, Leocadio Rodríguez‐Mañas, et al.. (2020). Diabetes in ageing: pathways for developing the evidence base for clinical guidance. The Lancet Diabetes & Endocrinology. 8(10). 855–867. 54 indexed citations

Chung, Wendy K., Karel Erion, José C. Florez, et al.. (2020). Precision medicine in diabetes: a Consensus Report from the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetologia. 63(9). 1671–1693. 112 indexed citations

Nielson, Carrie M., Jack Wiedrick, Jian Shen, et al.. (2017). Identification of Hip BMD Loss and Fracture Risk Markers Through Population-Based Serum Proteomics. Journal of Bone and Mineral Research. 32(7). 1559–1567. 33 indexed citations

Hooker, Elizabeth R., Smriti Shrestha, Christine G. Lee, et al.. (2016). Obesity and Falls in a Prospective Study of Older Men: The Osteoporotic Fractures in Men Study. Journal of Aging and Health. 29(7). 1235–1250. 23 indexed citations

Napoli, Nicola, Anne L. Schafer, Li‐Yung Lui, et al.. (2016). Serum 25-hydroxyvitamin D level and incident type 2 diabetes in older men, the Osteoporotic Fractures in Men (MrOS) study. Bone. 90. 181–184. 15 indexed citations

Perera, Subashan, Kushang V. Patel, Caterina Rosano, et al.. (2015). Gait Speed Predicts Incident Disability: A Pooled Analysis. The Journals of Gerontology Series A. 71(1). 63–71. 304 indexed citations breakdown →

10.

Miljkovic, Iva, Allison L. Kuipers, Jane A. Cauley, et al.. (2015). Greater Skeletal Muscle Fat Infiltration Is Associated With Higher All-Cause and Cardiovascular Mortality in Older Men. The Journals of Gerontology Series A. 70(9). 1133–1140. 109 indexed citations

11.

Swanson, Christine M., Priya Srikanth, Christine G. Lee, et al.. (2015). Associations of 25-Hydroxyvitamin D and 1,25-Dihydroxyvitamin D With Bone Mineral Density, Bone Mineral Density Change, and Incident Nonvertebral Fracture. Journal of Bone and Mineral Research. 30(8). 1403–1413. 25 indexed citations

12.

Fink, Howard A, Stephanie Litwack‐Harrison, Brent C Taylor, et al.. (2015). Clinical utility of routine laboratory testing to identify possible secondary causes in older men with osteoporosis: the Osteoporotic Fractures in Men (MrOS) Study. Osteoporosis International. 27(1). 331–338. 43 indexed citations

13.

Swanson, Christine M., Carrie M. Nielson, Smriti Shrestha, et al.. (2014). Higher 25(OH)D2 Is Associated With Lower 25(OH)D3 and 1,25(OH)2D3. The Journal of Clinical Endocrinology & Metabolism. 99(8). 2736–2744. 31 indexed citations

14.

Miljkovic, Iva, Jane A. Cauley, Patty Y. Wang, et al.. (2013). Abdominal myosteatosis is independently associated with hyperinsulinemia and insulin resistance among older men without diabetes. Obesity. 21(10). 2118–2125. 89 indexed citations

15.

Lee, Christine G., Ann V. Schwartz, Kristine Yaffe, et al.. (2013). Changes in Physical Performance in Older Women According to Presence and Treatment of Diabetes Mellitus. Journal of the American Geriatrics Society. 61(11). 1872–1878. 35 indexed citations

16.

Lee, Christine G., Edward J. Boyko, Elsa S. Strotmeyer, et al.. (2011). Association Between Insulin Resistance and Lean Mass Loss and Fat Mass Gain in Older Men without Diabetes Mellitus. Journal of the American Geriatrics Society. 59(7). 1217–1224. 149 indexed citations

17.

LeBlanc, Erin S., Patty Y. Wang, Christine G. Lee, et al.. (2011). Higher Testosterone Levels Are Associated with Less Loss of Lean Body Mass in Older Men. The Journal of Clinical Endocrinology & Metabolism. 96(12). 3855–3863. 70 indexed citations

18.

Lee, Christine G., Edward J. Boyko, Carrie M. Nielson, et al.. (2011). Mortality Risk in Older Men Associated with Changes in Weight, Lean Mass, and Fat Mass. Journal of the American Geriatrics Society. 59(2). 233–240. 99 indexed citations

19.

Lee, Christine G., Edward J. Boyko, Elizabeth Barrett‐Connor, et al.. (2011). Insulin Sensitizers May Attenuate Lean Mass Loss in Older Men With Diabetes. Diabetes Care. 34(11). 2381–2386. 135 indexed citations

20.

Lee, Christine G., Wilfred Y. Fujimoto, John D. Brunzell, et al.. (2010). Intra-abdominal fat accumulation is greatest at younger ages in Japanese-American adults. Diabetes Research and Clinical Practice. 89(1). 58–64. 23 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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