Kestutis Planutis

1.1k total citations
22 papers, 943 citations indexed

About

Kestutis Planutis is a scholar working on Molecular Biology, Geriatrics and Gerontology and Cancer Research. According to data from OpenAlex, Kestutis Planutis has authored 22 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Geriatrics and Gerontology and 4 papers in Cancer Research. Recurrent topics in Kestutis Planutis's work include Wnt/β-catenin signaling in development and cancer (11 papers), Cancer-related gene regulation (9 papers) and Sirtuins and Resveratrol in Medicine (5 papers). Kestutis Planutis is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (11 papers), Cancer-related gene regulation (9 papers) and Sirtuins and Resveratrol in Medicine (5 papers). Kestutis Planutis collaborates with scholars based in United States, Russia and India. Kestutis Planutis's co-authors include Randall F. Holcombe, Mary Pat Moyer, Christopher M. Hope, Anthony V. Nguyen, Michael J. Stamos, Micaela Martínez, Bradley J. Monk, Anthony Nguyen, Martínez and Tatjana Milovanović and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Scientific Reports.

In The Last Decade

Kestutis Planutis

22 papers receiving 931 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kestutis Planutis United States 14 648 181 170 133 130 22 943
Qing‐You Kong China 25 831 1.3× 316 1.7× 308 1.8× 154 1.2× 247 1.9× 47 1.4k
Linette Castillo‐Pichardo Puerto Rico 10 467 0.7× 66 0.4× 131 0.8× 85 0.6× 103 0.8× 19 753
Debbie McDonald United States 13 350 0.5× 186 1.0× 83 0.5× 88 0.7× 107 0.8× 17 624
Sin‐Aye Park South Korea 20 719 1.1× 74 0.4× 208 1.2× 83 0.6× 229 1.8× 44 1.1k
Paola Perucca Italy 12 542 0.8× 290 1.6× 196 1.2× 74 0.6× 51 0.4× 20 904
Rodolphe Filomenko France 16 493 0.8× 100 0.6× 114 0.7× 78 0.6× 112 0.9× 18 809
Amruta Ronghe United States 10 424 0.7× 108 0.6× 63 0.4× 52 0.4× 141 1.1× 14 597
Madhavi Sekharam United States 11 452 0.7× 64 0.4× 328 1.9× 112 0.8× 112 0.9× 14 789
Xu Zheng China 19 516 0.8× 57 0.3× 166 1.0× 53 0.4× 99 0.8× 50 924
Irfana Muqbil United States 19 572 0.9× 46 0.3× 262 1.5× 130 1.0× 149 1.1× 37 910

Countries citing papers authored by Kestutis Planutis

Since Specialization
Citations

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

Fields of papers citing papers by Kestutis Planutis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kestutis Planutis

This figure shows the co-authorship network connecting the top 25 collaborators of Kestutis Planutis. A scholar is included among the top collaborators of Kestutis Planutis 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 Kestutis Planutis. Kestutis Planutis 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.
Planutis, Kestutis, et al.. (2017). ME-143 Is Superior to Genistein in Suppression of WNT Signaling in Colon Cancer Cells. Anticancer Research. 37(4). 1647–1653. 16 indexed citations
2.
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Planutis, Kestutis, et al.. (2014). A novel signaling pathway regulates colon cancer angiogenesis through Norrin. Scientific Reports. 4(1). 5630–5630. 18 indexed citations
4.
Planutis, Kestutis, et al.. (2013). Invasive colon cancer, but not non-invasive adenomas induce a gradient effect of Wnt pathway receptor frizzled 1 (Fz1) expression in the tumor microenvironment. Journal of Translational Medicine. 11(1). 50–50. 20 indexed citations
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Dellinger, Thanh H., Kestutis Planutis, Danielle D. Jandial, et al.. (2012). Expression of the Wnt antagonist Dickkopf-3 is associated with prognostic clinicopathologic characteristics and impairs proliferation and invasion in endometrial cancer. Gynecologic Oncology. 126(2). 259–267. 32 indexed citations
7.
Dellinger, Thanh H., Kestutis Planutis, B.J. Monk, & Randall F. Holcombe. (2012). Dkk3 Wnt inhibitor expression in endometrial cancer predicts pelvic lymph node status, and correlates with clinicopathologic factors. Gynecologic Oncology. 127(1). S20–S20. 1 indexed citations
8.
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Dellinger, Thanh H., Kestutis Planutis, Krishnansu S. Tewari, & Randall F. Holcombe. (2011). Role of canonical Wnt signaling in endometrial carcinogenesis. Expert Review of Anticancer Therapy. 12(1). 51–62. 42 indexed citations
10.
Hope, Christopher M., et al.. (2010). Dietary grape-derived resveratrol for colon cancer prevention.. Journal of Clinical Oncology. 28(15_suppl). 3622–3622. 4 indexed citations
11.
Holcombe, Randall F., Anthony Nguyen, Martínez, et al.. (2009). Results of a phase I pilot clinical trial examining the effect of plant-derived resveratrol and grape powder on Wnt pathway target gene expression in colonic mucosa and colon cancer. Cancer Management and Research. Volume 1. 25–37. 175 indexed citations
12.
Planutis, Kestutis, et al.. (2008). In Situ Hybridization to Evaluate the Expression of Wnt and Frizzled Genes in Mammalian Tissues. Methods in molecular biology. 468. 231–241. 1 indexed citations
13.
Planutis, Kestutis, et al.. (2008). Coculture Methodologies for the Study of Wnt Signals. Methods in molecular biology. 468. 255–261. 2 indexed citations
14.
Hope, Christopher M., et al.. (2008). Low concentrations of resveratrol inhibit Wnt signal throughput in colon-derived cells: Implications for colon cancer prevention. Molecular Nutrition & Food Research. 52 Suppl 1. S52–61. 108 indexed citations
15.
Monk, Bradley J., et al.. (2007). Wnt signaling in ovarian tumorigenesis. International Journal of Gynecological Cancer. 18(5). 954–962. 112 indexed citations
16.
Planutis, Kestutis, et al.. (2007). Regulation of norrin receptor frizzled-4 by Wnt2 in colon-derived cells. BMC Cell Biology. 8(1). 12–12. 20 indexed citations
17.
Planutis, Kestutis, et al.. (2005). Effect of resveratrol on Wnt signaling in hematopoietic cells. Cancer Research. 65. 1084–1084. 1 indexed citations
18.
Milovanović, Tatjana, Kestutis Planutis, Anthony V. Nguyen, et al.. (2004). Expression of Wnt genes and frizzled 1 and 2 receptors in normal breast epithelium and infiltrating breast carcinoma. International Journal of Oncology. 25(5). 1337–42. 91 indexed citations
19.
Planutis, Kestutis, et al.. (1988). Determination of cholesterol esterase activity in human duodenal contents. Bulletin of Experimental Biology and Medicine. 106(4). 1366–1367. 1 indexed citations
20.
Planutis, Kestutis, et al.. (1982). Polyglucose content in the cell and the rate of glucose consumption during synchronous growth of Escherichia coli. Biochemical and Biophysical Research Communications. 109(2). 583–587. 4 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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