Mark T. Kozlowski

4.6k total citations · 3 hit papers
26 papers, 3.9k citations indexed

About

Mark T. Kozlowski is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Mark T. Kozlowski has authored 26 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Surgery and 5 papers in Genetics. Recurrent topics in Mark T. Kozlowski's work include Protein Kinase Regulation and GTPase Signaling (6 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Pancreatic function and diabetes (4 papers). Mark T. Kozlowski is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (6 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Pancreatic function and diabetes (4 papers). Mark T. Kozlowski collaborates with scholars based in United States, Japan and Venezuela. Mark T. Kozlowski's co-authors include Joseph Avruch, Christopher Belham, Kazuyoshi Yonezawa, Kenta Hara, Khurshid Iqbal Andrabi, Nick Morrice, Dario R. Alessi, Hsun Teresa Ku, Christiana Crook and Tao Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Mark T. Kozlowski

25 papers receiving 3.8k citations

Hit Papers

Amino Acid Sufficiency and mTOR Regulate p70 S6 Kinase an... 1998 2026 2007 2016 1998 1998 2021 250 500 750 1000

Peers

Mark T. Kozlowski
Christo Christov United States
Gareth M. Watkins United Kingdom
Tae‐Jin Kim South Korea
Sandra E. Wiley United States
Yi Fan China
Mark T. Kozlowski
Citations per year, relative to Mark T. Kozlowski Mark T. Kozlowski (= 1×) peers Dante Neculai

Countries citing papers authored by Mark T. Kozlowski

Since Specialization
Citations

This map shows the geographic impact of Mark T. Kozlowski'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 Mark T. Kozlowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark T. Kozlowski more than expected).

Fields of papers citing papers by Mark T. Kozlowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark T. Kozlowski. 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 Mark T. Kozlowski. The network helps show where Mark T. Kozlowski may publish in the future.

Co-authorship network of co-authors of Mark T. Kozlowski

This figure shows the co-authorship network connecting the top 25 collaborators of Mark T. Kozlowski. A scholar is included among the top collaborators of Mark T. Kozlowski 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 Mark T. Kozlowski. Mark T. Kozlowski 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.
Subramanian, Venkataramanan, et al.. (2025). From the bench to the reactor: engineered filamentous fungi for biochemical and biomaterial production. Biotechnology for Biofuels and Bioproducts. 18(1). 113–113.
2.
Decker, Stephen R., Venkataramanan Subramanian, Michael Adler, et al.. (2025). Considerations for Domestication of Novel Strains of Filamentous Fungi. ACS Synthetic Biology. 14(2). 343–362. 3 indexed citations
3.
Tremblay, Jacob R., Wendong Li, Walter Tsark, et al.. (2024). Rare, Tightly-Bound, Multi-Cellular Clusters in the Pancreatic Ducts of Adult Mice Function Like Progenitor Cells and Survive and Proliferate After Acinar Cell Injury. Stem Cells. 42(4). 385–401. 1 indexed citations
4.
Kozlowski, Mark T., et al.. (2023). A matrigel-free method for culture of pancreatic endocrine-like cells in defined protein-based hydrogels. Frontiers in Bioengineering and Biotechnology. 11. 1144209–1144209. 12 indexed citations
5.
Kozlowski, Mark T., Christiana Crook, & Hsun Teresa Ku. (2021). Towards organoid culture without Matrigel. Communications Biology. 4(1). 1387–1387. 282 indexed citations breakdown →
6.
Wu, Xiaoxing, Stephanie Walker, Chia‐Lin Chen, et al.. (2018). Glucocorticoid Signaling Enhances Expression of Glucose-Sensing Molecules in Immature Pancreatic Beta-Like Cells Derived from Murine Embryonic Stem Cells In Vitro. Stem Cells and Development. 27(13). 898–909. 6 indexed citations
7.
Mahdavi, Alborz, Feng Tao, Liang Jin, et al.. (2015). Postnatal Pancreas of Mice Contains Tripotent Progenitors Capable of Giving Rise to Duct, Acinar, and Endocrine Cells In Vitro. Stem Cells and Development. 24(17). 1995–2008. 15 indexed citations
8.
Filho, Rubens Maciel, et al.. (2015). Pilot-scale synthesis and rheological assessment of poly(methyl methacrylate) polymers: Perspectives for medical application. Materials Science and Engineering C. 51. 107–116. 7 indexed citations
9.
Alessi, Dario R., et al.. (1998). 3-Phosphoinositide-dependent protein kinase 1 (PDK1) phosphorylates and activates the p70 S6 kinase in vivo and in vitro. Current Biology. 8(2). 69–81. 504 indexed citations breakdown →
10.
Kozlowski, Mark T., et al.. (1998). Regulation of the p70 S6 Kinase by Phosphorylation in Vivo. Journal of Biological Chemistry. 273(26). 16621–16629. 330 indexed citations
11.
Hara, Kenta, et al.. (1998). Amino Acid Sufficiency and mTOR Regulate p70 S6 Kinase and eIF-4E BP1 through a Common Effector Mechanism. Journal of Biological Chemistry. 273(23). 14484–14494. 1116 indexed citations breakdown →
12.
Hara, Kenta, et al.. (1998). Amino acid sufficiency and mTOR regulate p70 S6 kinase and eIF-4E BP1 through a common effector mechanism.. Journal of Biological Chemistry. 273(34). 22160–22160. 43 indexed citations
13.
Hara, Kenta, Kazuyoshi Yonezawa, Mark T. Kozlowski, et al.. (1997). Regulation of eIF-4E BP1 Phosphorylation by mTOR. Journal of Biological Chemistry. 272(42). 26457–26463. 405 indexed citations
14.
15.
Andrabi, Khurshid Iqbal, et al.. (1995). Multiple Independent Inputs Are Required for Activation of the p70 S6 Kinase. Molecular and Cellular Biology. 15(5). 2333–2340. 211 indexed citations
16.
Andrabi, Khurshid Iqbal, et al.. (1995). Phosphatidylinositol 3-kinase signals activation of p70 S6 kinase in situ through site-specific p70 phosphorylation.. Proceedings of the National Academy of Sciences. 92(12). 5744–5748. 191 indexed citations
17.
Singh, Ishwar, Zhijun Luo, Mark T. Kozlowski, & Jack Erlichman. (1994). Association of USF and c-Myc with a helix-loop-helix-consensus motif in the core promoter of the murine type II beta regulatory subunit gene of cyclic adenosine 3', 5'-monophosphate-dependent protein kinase.. Molecular Endocrinology. 8(9). 1163–1174. 11 indexed citations
18.
Venuti, Judith M., Lin Gan, Mark T. Kozlowski, & William H. Klein. (1993). Developmental potential of muscle cell progenitors and the myogenic factor SUM-1 in the sea urchin embryo. Mechanisms of Development. 41(1). 3–14. 24 indexed citations
19.
Sirito, Mario, Shirley A. Walker, Qun Lin, et al.. (1992). Members of the USF family of helix-loop-helix proteins bind DNA as homo- as well as heterodimers.. PubMed. 2(3). 231–40. 137 indexed citations
20.
Kozlowski, Mark T., et al.. (1991). Sea urchin USF: A helix-loop-helix protein active in embryonic ectoderm cells. Developmental Biology. 148(2). 625–630. 31 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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