Mark Katakowski

10.6k total citations · 6 hit papers
52 papers, 8.8k citations indexed

About

Mark Katakowski is a scholar working on Molecular Biology, Cancer Research and Developmental Neuroscience. According to data from OpenAlex, Mark Katakowski has authored 52 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 22 papers in Cancer Research and 15 papers in Developmental Neuroscience. Recurrent topics in Mark Katakowski's work include Neurogenesis and neuroplasticity mechanisms (15 papers), MicroRNA in disease regulation (14 papers) and Mesenchymal stem cell research (10 papers). Mark Katakowski is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (15 papers), MicroRNA in disease regulation (14 papers) and Mesenchymal stem cell research (10 papers). Mark Katakowski collaborates with scholars based in United States, Canada and China. Mark Katakowski's co-authors include Michael Chopp, Mei Lü, Jieli Chen, Zheng Gang Zhang, Hongqi Xin, Mikko Haataja, Martin Grant, K. R. Elder, Xuguang Zheng and Feng Jiang and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and NeuroImage.

In The Last Decade

Mark Katakowski

52 papers receiving 8.6k citations

Hit Papers

Modeling Elasticity in Crystal Growth 2002 2026 2010 2018 2002 2002 2012 2013 2015 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. Modeling Elasticity in Crystal Growth
    2002 764 citations K. R. Elder, Mark Katakowski et al. Physical Review Letters profile →
  2. Human marrow stromal cell therapy for stroke in rat
    2002 743 citations Y. Li, Mark Katakowski et al. profile →
  3. Exosome-Mediated Transfer of miR-133b from Multipotent Mesenchymal Stromal Cells to Neural Cells Contributes to Neurite Outgrowth
    2012 719 citations Hongqi Xin, Ben Buller et al. profile →
  4. Exosomes from marrow stromal cells expressing miR-146b inhibit glioma growth
    2013 611 citations Mark Katakowski, Ben Buller et al. Cancer Letters profile →
  5. Effect of exosomes derived from multipluripotent mesenchymal stromal cells on functional recovery and neurovascular plasticity in rats after traumatic brain injury
    2015 582 citations Michael Chopp, Mark Katakowski et al. profile →
  6. MicroRNA-17–92 Cluster in Exosomes Enhance Neuroplasticity and Functional Recovery After Stroke in Rats
    2017 450 citations Hongqi Xin, Mark Katakowski et al. Stroke profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Katakowski United States 35 4.4k 2.5k 2.5k 1.7k 1.2k 52 8.8k
Justin D. Lathia United States 67 8.5k 1.9× 5.0k 2.0× 4.1k 1.7× 969 0.6× 1.1k 0.9× 257 17.8k
Peter Canoll United States 59 6.2k 1.4× 2.7k 1.1× 3.2k 1.3× 741 0.4× 1.1k 1.0× 232 12.5k
Ali S. Arbab United States 57 3.7k 0.8× 1.3k 0.5× 2.0k 0.8× 468 0.3× 329 0.3× 209 10.5k
Scott R. VandenBerg United States 56 4.8k 1.1× 2.7k 1.1× 4.5k 1.8× 1.3k 0.8× 899 0.8× 152 11.9k
Samuel K. Ludwin Canada 35 7.0k 1.6× 3.9k 1.5× 11.0k 4.4× 1.3k 0.8× 1.2k 1.0× 78 20.4k
Jean‐Pierre Julien Canada 72 6.0k 1.3× 1.8k 0.7× 3.8k 1.5× 888 0.5× 4.2k 3.5× 254 17.9k
Keith L. Ligon United States 72 11.4k 2.6× 5.2k 2.1× 7.2k 2.9× 1.5k 0.9× 783 0.7× 248 21.3k
Ronald G. Blasberg United States 62 5.0k 1.1× 1.6k 0.6× 1.4k 0.5× 160 0.1× 1.8k 1.5× 207 16.7k
Liangfu Zhou China 43 2.0k 0.5× 1.3k 0.5× 1.7k 0.7× 327 0.2× 423 0.4× 233 6.8k
David Zagzag United States 67 7.8k 1.8× 5.3k 2.1× 5.9k 2.4× 289 0.2× 806 0.7× 258 19.3k

Countries citing papers authored by Mark Katakowski

Since Specialization
Citations

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

Fields of papers citing papers by Mark Katakowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Katakowski

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Katakowski. A scholar is included among the top collaborators of Mark Katakowski 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 Katakowski. Mark Katakowski 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.
Xin, Hongqi, Mark Katakowski, Fengjie Wang, et al.. (2017). MicroRNA-17–92 Cluster in Exosomes Enhance Neuroplasticity and Functional Recovery After Stroke in Rats. Stroke. 48(3). 747–753. 450 indexed citations breakdown →
2.
Lü, Yong, Michael Chopp, Xuguang Zheng, et al.. (2014). Overexpression of miR-145 in U87 cells reduces glioma cell malignant phenotype and promotes survival after in vivo implantation. International Journal of Oncology. 46(3). 1031–1038. 12 indexed citations
3.
Katakowski, Mark, Ben Buller, Xuguang Zheng, et al.. (2013). Exosomes from marrow stromal cells expressing miR-146b inhibit glioma growth. Cancer Letters. 335(1). 201–204. 611 indexed citations breakdown →
4.
Lü, Yong, Michael Chopp, Xuguang Zheng, et al.. (2012). MiR-145 reduces ADAM17 expression and inhibits in vitro migration and invasion of glioma cells. Oncology Reports. 29(1). 67–72. 54 indexed citations
5.
Khain, Evgeniy, Mark Katakowski, Alexandra Szalad, et al.. (2011). Collective behavior of brain tumor cells: The role of hypoxia. Physical Review E. 83(3). 31920–31920. 56 indexed citations
6.
Katakowski, Mark, Xuguang Zheng, Feng Jiang, et al.. (2010). MiR-146b-5p Suppresses EGFR Expression and ReducesIn VitroMigration and Invasion of Glioma. Cancer Investigation. 28(10). 1024–1030. 139 indexed citations
7.
Katakowski, Mark, Feng Jiang, Xuguang Zheng, et al.. (2009). Tumorigenicity of cortical astrocyte cell line induced by the protease ADAM17. Cancer Science. 100(9). 1597–1604. 21 indexed citations
8.
Zheng, Xuguang, et al.. (2009). ADAM17 promotes breast cancer cell malignant phenotype through EGFR-PI3K-AKT activation. Cancer Biology & Therapy. 8(11). 1045–1054. 86 indexed citations
9.
Jiang, Feng, Xuepeng Zhang, Steven N. Kalkanis, et al.. (2007). Combination Therapy with Antiangiogenic Treatment and Photodynamic Therapy for the Nude Mouse Bearing U87 Glioblastoma. Photochemistry and Photobiology. 84(1). 128–137. 44 indexed citations
10.
Zheng, Xuguang, Feng Jiang, Mark Katakowski, et al.. (2007). Inhibition of ADAM17 reduces hypoxia‐induced brain tumor cell invasiveness. Cancer Science. 98(5). 674–684. 76 indexed citations
11.
Chen, Jun, Alex Zacharek, Y. Li, et al.. (2006). N-cadherin mediates nitric oxide-induced neurogenesis in young and retired breeder neurospheres. Neuroscience. 140(2). 377–388. 37 indexed citations
12.
Katakowski, Mark, Zhenggang Zhang, Ana C. deCarvalho, & Michael Chopp. (2005). EphB2 induces proliferation and promotes a neuronal fate in adult subventricular neural precursor cells. Neuroscience Letters. 385(3). 204–209. 40 indexed citations
13.
Gao, Qi, Mark Katakowski, Xiaoguang Chen, Yi Li, & Michael Chopp. (2005). Human Marrow Stromal Cells Enhance Connexin43 Gap Junction Intercellular Communication in Cultured Astrocytes. Cell Transplantation. 14(2-3). 109–117. 32 indexed citations
14.
Chen, Jieli, Yi Li, Ruilan Zhang, et al.. (2004). Combination therapy of stroke in rats with a nitric oxide donor and human bone marrow stromal cells enhances angiogenesis and neurogenesis. Brain Research. 1005(1-2). 21–28. 108 indexed citations
15.
Zhang, Zhenggang, Quan Jiang, Feng Jiang, et al.. (2004). In vivo magnetic resonance imaging tracks adult neural progenitor cell targeting of brain tumor. NeuroImage. 23(1). 281–287. 86 indexed citations
16.
Chen, Jieli, Yi Li, Mark Katakowski, et al.. (2003). Intravenous bone marrow stromal cell therapy reduces apoptosis and promotes endogenous cell proliferation after stroke in female rat. Journal of Neuroscience Research. 73(6). 778–786. 472 indexed citations
17.
Jiang, Feng, Adam Robin, Mark Katakowski, et al.. (2003). Photodynamic therapy with photofrin in combination with Buthionine Sulfoximine (BSO) of human glioma in the nude rat. Lasers in Medical Science. 18(3). 128–133. 63 indexed citations
18.
Li, Yi, Xiaoyi Yang, Jieli Chen, et al.. (2002). Transplantation of a new composite of neural cells and marrow stromal cells into rat brain after stroke. Neuroscience Research Communications. 31(3). 155–163. 2 indexed citations
19.
Chen, Xiaoguang, Yi Li, Lei Wang, et al.. (2002). Ischemic rat brain extracts induce human marrow stromal cell growth factor production. Neuropathology. 22(4). 275–279. 328 indexed citations
20.
Elder, K. R., Mark Katakowski, Mikko Haataja, & Martin Grant. (2002). Modeling Elasticity in Crystal Growth. Physical Review Letters. 88(24). 245701–245701. 764 indexed citations breakdown →

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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