Leon Lenchik

9.7k total citations
188 papers, 6.7k citations indexed

About

Leon Lenchik is a scholar working on Surgery, Physiology and Orthopedics and Sports Medicine. According to data from OpenAlex, Leon Lenchik has authored 188 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Surgery, 58 papers in Physiology and 52 papers in Orthopedics and Sports Medicine. Recurrent topics in Leon Lenchik's work include Nutrition and Health in Aging (45 papers), Bone health and osteoporosis research (36 papers) and Body Composition Measurement Techniques (32 papers). Leon Lenchik is often cited by papers focused on Nutrition and Health in Aging (45 papers), Bone health and osteoporosis research (36 papers) and Body Composition Measurement Techniques (32 papers). Leon Lenchik collaborates with scholars based in United States, Belgium and Canada. Leon Lenchik's co-authors include Robert D. Boutin, Michel De Maeseneer, Barbara J. Nicklas, Stephen B. Kritchevsky, J. Jeffrey Carr, Thomas C. Register, Carl D. Langefeld, Donald W. Bowden, Walter T. Ambrosius and Lawrence Yao and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Leon Lenchik

179 papers receiving 6.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leon Lenchik United States 48 2.2k 2.2k 1.8k 926 921 188 6.7k
Martin Torriani United States 47 2.2k 1.0× 2.0k 0.9× 1.5k 0.8× 661 0.7× 593 0.6× 205 7.2k
Giuseppe Guglielmi Italy 50 2.9k 1.3× 1.7k 0.8× 3.0k 1.6× 1.3k 1.4× 971 1.1× 418 9.1k
Luca Maria Sconfienza Italy 47 4.3k 1.9× 811 0.4× 1.6k 0.9× 1.7k 1.8× 1.1k 1.2× 355 8.2k
Judith E. Adams United Kingdom 46 1.5k 0.7× 1.0k 0.5× 2.8k 1.5× 549 0.6× 908 1.0× 127 7.0k
Carmelo Messina Italy 33 1.4k 0.6× 774 0.4× 1.1k 0.6× 870 0.9× 558 0.6× 189 3.9k
Thomas Fuerst United States 43 1.3k 0.6× 1.7k 0.8× 3.6k 1.9× 559 0.6× 583 0.6× 103 5.9k
Bernard Cortet France 44 3.2k 1.4× 846 0.4× 2.7k 1.5× 346 0.4× 418 0.5× 296 7.5k
M. Jergas United States 33 2.0k 0.9× 815 0.4× 4.3k 2.3× 841 0.9× 941 1.0× 68 6.1k
Vicente Gilsanz United States 63 2.4k 1.1× 3.4k 1.6× 4.9k 2.7× 552 0.6× 569 0.6× 207 12.1k
Levent Özçakar Türkiye 38 3.0k 1.3× 706 0.3× 1.4k 0.7× 1.4k 1.5× 566 0.6× 513 5.8k

Countries citing papers authored by Leon Lenchik

Since Specialization
Citations

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

Fields of papers citing papers by Leon Lenchik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leon Lenchik

This figure shows the co-authorship network connecting the top 25 collaborators of Leon Lenchik. A scholar is included among the top collaborators of Leon Lenchik 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 Leon Lenchik. Leon Lenchik 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
1.
Bunch, Paul M., et al.. (2025). Potential Impact of Opportunistic CT for Closing Diagnosis Gaps in Primary Hyperparathyroidism. Journal of the American College of Radiology. 22(3). 376–385. 1 indexed citations
2.
Beavers, Daniel P., Leon Lenchik, Ryan Barnard, et al.. (2025). Musculoskeletal characteristics in older adults with overweight or obesity: INVEST in Bone Health trial baseline analysis. Obesity. 33(S1). 96–109.
3.
Padwal, Jennifer, et al.. (2025). Cost-effectiveness of opportunistic CT versus clinical methods for sarcopenia screening. Skeletal Radiology. 55(4). 781–788.
4.
5.
Brown, Joshua D., Leon Lenchik, Linda Probyn, et al.. (2025). Leveraging Large Language Models in Radiology Research: A Comprehensive User Guide. Academic Radiology. 32(5). 3082–3091. 4 indexed citations
6.
7.
Chang, Connie Y., Leon Lenchik, Louis Blankemeier, Akshay Chaudhari, & Robert D. Boutin. (2024). Biomarkers of Body Composition. Seminars in Musculoskeletal Radiology. 28(1). 78–91. 1 indexed citations
8.
Desai, Arjun, Beliz Gunel, Garry E. Gold, et al.. (2023). Improving Data-Efficiency and Robustness of Medical Imaging Segmentation Using Inpainting-Based Self-Supervised Learning. Bioengineering. 10(2). 207–207. 12 indexed citations
9.
Beavers, Kristen M., Mahalakshmi Shankaran, William J. Evans, et al.. (2023). Application of the D3‐creatine muscle mass assessment tool to a geriatric weight loss trial: A pilot study. Journal of Cachexia Sarcopenia and Muscle. 14(5). 2350–2358. 4 indexed citations
10.
Yao, Lawrence, et al.. (2023). Clinical, functional, and opportunistic CT metrics of sarcopenia at the point of imaging care: analysis of all-cause mortality. Skeletal Radiology. 53(3). 515–524. 2 indexed citations
11.
Chhabra, Avneesh, James D. Dormer, Phillip H. Jones, et al.. (2020). Abdominal muscle segmentation from CT using a convolutional neural network. PubMed. 11317. 20–20. 13 indexed citations
12.
Mammarappallil, Joseph, Thorsten M. Seyler, Leon Lenchik, Scott D. Wuertzer, & Johannes F. Plate. (2019). Impact of Fluoroscopically Guided Bone Biopsy on Antibiotic Management of Osteomyelitis in the Lower Extremity.. PubMed. 27(4). 277–280. 3 indexed citations
13.
Cattrysse, Erik, et al.. (2019). Inter-rater reliability of an ultrasound protocol to evaluate the anterolateral ligament of the knee. SHILAP Revista de lepidopterología. 19(78). 181–186. 6 indexed citations
14.
Schoell, Samantha L., Daniel P. Beavers, Leon Lenchik, et al.. (2018). Development of Subject-Specific Proximal Femur Finite Element Models Of Older Adults with Obesity to Evaluate the Effects of Weight Loss on Bone Strength. PubMed. 6(1). 13 indexed citations
15.
Willekens, Inneke, et al.. (2017). Fluid distribution in ankle and midfoot joints: MR findings in asymptomatic volunteers. Surgical and Radiologic Anatomy. 40(5). 481–487. 9 indexed citations
16.
Abramson, Richard G., Kirsteen R. Burton, John‐Paul J. Yu, et al.. (2014). Methods and Challenges in Quantitative Imaging Biomarker Development. Academic Radiology. 22(1). 25–32. 64 indexed citations
17.
Liu, Christine K., Xiaoyan Leng, Fang‐Chi Hsu, et al.. (2013). The impact of sarcopenia on a physical activity intervention: The lifestyle interventions and independence for elders pilot study (LIFE-P). The journal of nutrition health & aging. 18(1). 59–64. 64 indexed citations
18.
Cesari, Matteo, Stephen B. Kritchevsky, Richard Baumgartner, et al.. (2005). Sarcopenia, obesity, and inflammation—results from the Trial of Angiotensin Converting Enzyme Inhibition and Novel Cardiovascular Risk Factors study. American Journal of Clinical Nutrition. 82(2). 428–434. 295 indexed citations
19.
Jaovisidha, Suphaneewan, Jon A. Jacobson, Leon Lenchik, & Donald Resnick. (1999). Mr imaging of rotator cuff tears. Clinical Imaging. 23(4). 249–253. 4 indexed citations
20.
Lenchik, Leon, Andrew K. Poznanski, James S. Donaldson, & John F. Sarwark. (1991). Case report 681. Skeletal Radiology. 20(5). 387–389. 15 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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