Lilian I. Plotkin

14.1k total citations · 4 hit papers
133 papers, 10.9k citations indexed

About

Lilian I. Plotkin is a scholar working on Molecular Biology, Oncology and Orthopedics and Sports Medicine. According to data from OpenAlex, Lilian I. Plotkin has authored 133 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Molecular Biology, 51 papers in Oncology and 32 papers in Orthopedics and Sports Medicine. Recurrent topics in Lilian I. Plotkin's work include Bone Metabolism and Diseases (61 papers), Bone health and treatments (46 papers) and Bone health and osteoporosis research (29 papers). Lilian I. Plotkin is often cited by papers focused on Bone Metabolism and Diseases (61 papers), Bone health and treatments (46 papers) and Bone health and osteoporosis research (29 papers). Lilian I. Plotkin collaborates with scholars based in United States, Argentina and Brazil. Lilian I. Plotkin's co-authors include Teresita Bellido, Stavros C. Manolagas, Robert S. Weinstein, Charles A. O’Brien, A. M. Parfitt, Paula K. Roberson, Stavroula Kousteni, Stavros C. Manolagas, Scott Stewart and J. Ignacio Aguirre and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Lilian I. Plotkin

132 papers receiving 10.7k citations

Hit Papers

Nongenotropic, Sex-Nonspecific Signaling through the Estr... 1999 2026 2008 2017 2001 1999 2003 2007 250 500 750
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.

  1. Nongenotropic, Sex-Nonspecific Signaling through the Estrogen or Androgen Receptors
    2001 932 citations Stavroula Kousteni, Teresita Bellido et al. profile →
  2. Prevention of osteocyte and osteoblast apoptosis by bisphosphonates and calcitonin
    1999 680 citations Lilian I. Plotkin, Stavros C. Manolagas et al. Journal of Clinical Investigation profile →
  3. Glucocorticoids Act Directly on Osteoblasts and Osteocytes to Induce Their Apoptosis and Reduce Bone Formation and Strength
    2003 586 citations Lilian I. Plotkin, Teresita Bellido et al. profile →
  4. Skeletal Involution by Age-associated Oxidative Stress and Its Acceleration by Loss of Sex Steroids
    2007 556 citations Maria Almeida, Lilian I. Plotkin et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lilian I. Plotkin United States 50 6.9k 4.1k 3.4k 2.0k 953 133 10.9k
Stavros C. Manolagas United States 45 6.2k 0.9× 4.2k 1.0× 3.9k 1.1× 2.1k 1.1× 891 0.9× 57 11.6k
Robert L. Jilka United States 53 8.6k 1.2× 4.9k 1.2× 4.0k 1.2× 1.7k 0.8× 1.2k 1.2× 87 13.1k
Charles A. O’Brien United States 59 8.8k 1.3× 4.8k 1.2× 3.6k 1.0× 2.2k 1.1× 1.0k 1.1× 102 13.6k
Hua Zhu Ke United States 51 4.5k 0.7× 2.8k 0.7× 2.8k 0.8× 1.4k 0.7× 478 0.5× 126 7.9k
Merry Jo Oursler United States 45 5.1k 0.7× 2.5k 0.6× 1.9k 0.5× 1.2k 0.6× 787 0.8× 99 7.9k
Kyoji Ikeda Japan 57 6.7k 1.0× 4.2k 1.0× 1.8k 0.5× 976 0.5× 803 0.8× 135 10.6k
W. Scott Simonet United States 32 9.5k 1.4× 5.4k 1.3× 2.9k 0.8× 1.2k 0.6× 810 0.8× 43 13.4k
Teresita Bellido United States 69 10.8k 1.6× 7.0k 1.7× 5.5k 1.6× 3.0k 1.5× 1.3k 1.4× 180 17.6k
R L Jilka United States 27 4.5k 0.7× 2.8k 0.7× 2.3k 0.7× 1.8k 0.9× 423 0.4× 37 7.7k
Stavroula Kousteni United States 36 3.5k 0.5× 1.9k 0.5× 1.5k 0.4× 1.5k 0.7× 575 0.6× 62 6.6k

Countries citing papers authored by Lilian I. Plotkin

Since Specialization
Citations

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

Fields of papers citing papers by Lilian I. Plotkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lilian I. Plotkin. 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 Lilian I. Plotkin. The network helps show where Lilian I. Plotkin may publish in the future.

Co-authorship network of co-authors of Lilian I. Plotkin

This figure shows the co-authorship network connecting the top 25 collaborators of Lilian I. Plotkin. A scholar is included among the top collaborators of Lilian I. Plotkin 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 Lilian I. Plotkin. Lilian I. Plotkin 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.
Plotkin, Lilian I., et al.. (2024). Mind Gaps and Bone Snaps: Exploring the Connection Between Alzheimer’s Disease and Osteoporosis. Current Osteoporosis Reports. 22(5). 483–494. 8 indexed citations
2.
Plotkin, Lilian I., et al.. (2024). Use of AI Language Engine ChatGPT 4.0 to Write a Scientific Review Article Examining the Intersection of Alzheimer’s Disease and Bone. Current Osteoporosis Reports. 22(1). 177–181. 17 indexed citations
3.
Plotkin, Lilian I., et al.. (2024). From the Mind to the Spine: The Intersecting World of Alzheimer’s and Osteoporosis. Current Osteoporosis Reports. 22(1). 152–164. 13 indexed citations
4.
Segvich, Dyann M., et al.. (2024). Independent contribution of gonads and sex chromosomes to sex differences in bone mass and strength in the four-core genotypes mouse model. Journal of Bone and Mineral Research. 39(11). 1659–1672. 3 indexed citations
5.
Lombarte, Mercedes, María J. Rico, Viviana R. Rozados, et al.. (2024). Increased Osteoblastic and Osteocytic in Vitro Cell Viability by Yerba Mate (Ilex paraguariensis). Journal of Bone Metabolism. 31(2). 101–113. 3 indexed citations
6.
Wright, Christian S., Karl J. Lewis, Xin Yi, et al.. (2024). Deletion of the auxiliary α2δ1 voltage sensitive calcium channel subunit in osteocytes and late-stage osteoblasts impairs femur strength and load-induced bone formation in male mice. Journal of Bone and Mineral Research. 39(3). 298–314. 1 indexed citations
7.
Li, Yong, Sheel Patel, Mizuho Kittaka, et al.. (2023). Osteocyte-Derived CaMKK2 Regulates Osteoclasts and Bone Mass in a Sex-Dependent Manner through Secreted Calpastatin. International Journal of Molecular Sciences. 24(5). 4718–4718. 3 indexed citations
8.
Plotkin, Lilian I., et al.. (2023). Messages from the Mineral: How Bone Cells Communicate with Other Tissues. Calcified Tissue International. 113(1). 39–47. 4 indexed citations
9.
Pitsillides, Andrew A., et al.. (2020). Sexing Bones: Improving Transparency of Sex Reporting to Address Bias Within Preclinical Studies. Journal of Bone and Mineral Research. 38(1). 5–13. 12 indexed citations
10.
Pacheco‐Costa, Rafael, Hannah M. Davis, Emily G. Atkinson, et al.. (2018). Reversal of loss of bone mass in old mice treated with mefloquine. Bone. 114. 22–31. 9 indexed citations
11.
Pacheco‐Costa, Rafael, et al.. (2017). Connexin37 deficiency alters organic bone matrix, cortical bone geometry, and increases Wnt/β-catenin signaling. Bone. 97. 105–113. 18 indexed citations
12.
Delgado‐Calle, Jesús, Judith Anderson, Meloney Cregor, et al.. (2016). Bidirectional Notch Signaling and Osteocyte-Derived Factors in the Bone Marrow Microenvironment Promote Tumor Cell Proliferation and Bone Destruction in Multiple Myeloma. Cancer Research. 76(5). 1089–1100. 158 indexed citations
13.
Hammond, Max A., Alycia G. Berman, Rafael Pacheco‐Costa, et al.. (2016). Removing or truncating connexin 43 in murine osteocytes alters cortical geometry, nanoscale morphology, and tissue mechanics in the tibia. Bone. 88. 85–91. 24 indexed citations
14.
Plotkin, Lilian I., Arancha R. Gortázar, & Teresita Bellido. (2016). β-arrestin/connexin 43 complex anchors ERKs outside the nucleus: a pre-requisite for bisphosphonate anti-apoptotic effect mediated by CX43/ERK in osteocytes. IUScholarWorks (Indiana University). 3 indexed citations
15.
Pacheco‐Costa, Rafael, E. Katchburian, Valquíria P. Medeiros, et al.. (2015). Modifications in Bone Matrix of Estrogen-Deficient Rats Treated with Intermittent PTH. BioMed Research International. 2015. 1–11. 11 indexed citations
16.
Delgado‐Calle, Jesús, et al.. (2014). Parathyroid hormone receptor signaling induces bone resorption in the adult skeleton by directly regulating the RANKL gene in osteocytes. PMC. 3 indexed citations
17.
Pacheco‐Costa, Rafael, Rejane Daniele Reginato, Hannah M. Davis, et al.. (2014). High Bone Mass in Mice Lacking Cx37 Due to Defective Osteoclast Differentiation. IUScholarWorks (Indiana University). 1 indexed citations
18.
Rhee, Yumie, Eunyoung Lee, Virginia Lezcano, et al.. (2013). Resorption controls bone anabolism driven by PTH receptor signaling in osteocytes. Publisher. 1 indexed citations
19.
Kousteni, Stavroula, Han Li, Jin‐Ran Chen, et al.. (2003). Kinase-mediated regulation of common transcription factors accounts for the bone-protective effects of sex steroids. Journal of Clinical Investigation. 111(11). 1651–1664. 209 indexed citations
20.
Plotkin, Lilian I.. (1962). Д.И. Писарев : жизнь и деятельность. 1 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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