Nancy Pleshko

4.5k total citations
104 papers, 2.7k citations indexed

About

Nancy Pleshko is a scholar working on Rheumatology, Biophysics and Orthopedics and Sports Medicine. According to data from OpenAlex, Nancy Pleshko has authored 104 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Rheumatology, 27 papers in Biophysics and 25 papers in Orthopedics and Sports Medicine. Recurrent topics in Nancy Pleshko's work include Osteoarthritis Treatment and Mechanisms (37 papers), Spectroscopy Techniques in Biomedical and Chemical Research (27 papers) and Bone health and osteoporosis research (16 papers). Nancy Pleshko is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (37 papers), Spectroscopy Techniques in Biomedical and Chemical Research (27 papers) and Bone health and osteoporosis research (16 papers). Nancy Pleshko collaborates with scholars based in United States, United Kingdom and Thailand. Nancy Pleshko's co-authors include Adele L. Boskey, Richard Mendelsohn, Richard G. Spencer, William Querido, Cushla McGoverin, Stephen B. Doty, Ping‐Chang Lin, Jeffrey P. Spalazzi, Helen H. Lu and Masahiko Terajima and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Nancy Pleshko

101 papers receiving 2.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nancy Pleshko 809 701 527 514 440 104 2.7k
Nancy P. Camacho 1.4k 1.7× 806 1.1× 926 1.8× 388 0.8× 620 1.4× 53 3.8k
Xiaohong Bi 430 0.5× 355 0.5× 254 0.5× 327 0.6× 318 0.7× 47 1.7k
Lassi Rieppo 572 0.7× 350 0.5× 183 0.3× 315 0.6× 260 0.6× 72 1.5k
Kenneth M. Kozloff 661 0.8× 715 1.0× 843 1.6× 109 0.2× 582 1.3× 95 3.6k
F. Vittur 945 1.2× 467 0.7× 239 0.5× 84 0.2× 443 1.0× 71 2.4k
Rupak M. Rajachar 179 0.2× 689 1.0× 290 0.6× 180 0.4× 354 0.8× 50 2.0k
Ronald J. Midura 970 1.2× 709 1.0× 494 0.9× 228 0.4× 630 1.4× 117 4.5k
Margaret Tzaphlidou 191 0.2× 488 0.7× 367 0.7× 85 0.2× 268 0.6× 90 2.0k
Lyudmila Spevak 871 1.1× 443 0.6× 678 1.3× 111 0.2× 206 0.5× 35 2.2k
M. Yamauchi 552 0.7× 310 0.4× 526 1.0× 81 0.2× 171 0.4× 55 2.2k

Countries citing papers authored by Nancy Pleshko

Since Specialization
Citations

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

Fields of papers citing papers by Nancy Pleshko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nancy Pleshko

This figure shows the co-authorship network connecting the top 25 collaborators of Nancy Pleshko. A scholar is included among the top collaborators of Nancy Pleshko 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 Nancy Pleshko. Nancy Pleshko 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.
2.
Querido, William, Brandon C. Jones, Huaqing Zhao, et al.. (2025). The Multifactorial Relationship Between Bone Tissue Water and Stiffness at the Proximal Femur. Calcified Tissue International. 116(1). 33–33.
3.
Querido, William, Andrzej Steplewski, Yi Zhang, et al.. (2024). PD53-01 ARE MICROPLASTICS PRESENT IN HUMAN TESTICLE TISSUE? ANALYSIS USING INFRARED SPECTROSCOPY. The Journal of Urology. 211(5S). 1 indexed citations
4.
Tehrani, Rouzbeh, et al.. (2021). Effects of Polychlorinated Biphenyls on Lignin Biosynthesis in Arabidopsis thaliana. ACS Agricultural Science & Technology. 1(3). 202–210. 3 indexed citations
5.
Afara, Isaac O., Rubina Shaikh, Ervin Nippolainen, et al.. (2021). Characterization of connective tissues using near-infrared spectroscopy and imaging. Nature Protocols. 16(2). 1297–1329. 58 indexed citations
6.
Querido, William, et al.. (2020). Approaches for In Situ Monitoring of Matrix Development in Hydrogel-Based Engineered Cartilage. Tissue Engineering Part C Methods. 26(4). 225–238. 12 indexed citations
7.
Rajapakse, Chamith S., et al.. (2019). Environmentally-Controlled Near Infrared Spectroscopic Imaging of Bone Water. Scientific Reports. 9(1). 10199–10199. 12 indexed citations
8.
Kim, Min-Wook, et al.. (2017). Near-Infrared Spectroscopy Predicts Compositional and Mechanical Properties of Hyaluronic Acid-Based Engineered Cartilage Constructs. Tissue Engineering Part A. 24(1-2). 106–116. 18 indexed citations
9.
Subramony, Siddarth D., et al.. (2017). Compositional mapping of the mature anterior cruciate ligament‐to‐bone insertion. Journal of Orthopaedic Research®. 35(11). 2513–2523. 20 indexed citations
10.
McGoverin, Cushla, et al.. (2014). Assessment of hyaline cartilage matrix composition using near infrared spectroscopy. Matrix Biology. 38. 3–11. 48 indexed citations
11.
Richardson, James B., et al.. (2012). Clinical outcome of autologous chondrocyte implantation is correlated with infrared spectroscopic imaging-derived parameters. Osteoarthritis and Cartilage. 20(9). 988–996. 17 indexed citations
12.
Pleshko, Nancy, et al.. (2012). Nanotechnology in Orthopaedics. Journal of the American Academy of Orthopaedic Surgeons. 20(1). 60–62. 9 indexed citations
13.
Kim, Minwook, et al.. (2012). Transient exposure to TGF- β 3 improves the functional chondrogenesis of MSC-laden hyaluronic acid hydrogels. Journal of the mechanical behavior of biomedical materials. 11. 92–101. 76 indexed citations
14.
Mahmoodian, Roza, et al.. (2011). Changes in mechanics and composition of human talar cartilage anlagen during fetal development. Osteoarthritis and Cartilage. 19(10). 1199–1209. 14 indexed citations
15.
Gürkan, İlksen, Xu Yang, Walter E. Horton, et al.. (2010). Modification of osteoarthritis in the guinea pig with pulsed low-intensity ultrasound treatment. Osteoarthritis and Cartilage. 18(5). 724–733. 41 indexed citations
16.
Sahar, Nadder D., Robert H. Wilson, Mary‐Ann Mycek, et al.. (2010). Quantitative polarized Raman spectroscopy in highly turbid bone tissue. Journal of Biomedical Optics. 15(3). 37001–37001. 56 indexed citations
17.
Kim, Min-Wook, Li Foong Foo, Christopher Uggen, et al.. (2009). Evaluation of Early Osteochondral Defect Repair in a Rabbit Model Utilizing Fourier Transform–Infrared Imaging Spectroscopy, Magnetic Resonance Imaging, and Quantitative T2 Mapping. Tissue Engineering Part C Methods. 16(3). 355–364. 28 indexed citations
18.
Boskey, Adele L., Nancy Pleshko, Stephen B. Doty, & Richard Mendelsohn. (1992). Applications of Fourier Transform Infrared (FT-IR) Microscopy to the Study of Mineralization in Bone and Cartilage. Digital Commons - USU (Utah State University). 2(3). 4. 67 indexed citations
19.
Pleshko, Nancy, Adele L. Boskey, & Richard Mendelsohn. (1992). An FT-IR microscopic investigation of the effects of tissue preservation on bone. Calcified Tissue International. 51(1). 72–77. 63 indexed citations
20.
Pleshko, Nancy, Adele L. Boskey, & Richard Mendelsohn. (1991). Novel infrared spectroscopic method for the determination of crystallinity of hydroxyapatite minerals. Biophysical Journal. 60(4). 786–793. 330 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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