Yaroslav Teper

1.1k total citations
16 papers, 762 citations indexed

About

Yaroslav Teper is a scholar working on Oncology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Yaroslav Teper has authored 16 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Yaroslav Teper's work include Pancreatic and Hepatic Oncology Research (4 papers), Cancer, Lipids, and Metabolism (3 papers) and Cancer Cells and Metastasis (3 papers). Yaroslav Teper is often cited by papers focused on Pancreatic and Hepatic Oncology Research (4 papers), Cancer, Lipids, and Metabolism (3 papers) and Cancer Cells and Metastasis (3 papers). Yaroslav Teper collaborates with scholars based in United States, Australia and Ireland. Yaroslav Teper's co-authors include Manickam Aravagiri, Stephen R. Marder, Çağatay Karaaslan, Tan A. Ince, Elisa Ghelfi, Joyce Bischoff, Harun Elmasri, Sule Çataltepe, Harry P. Kozakewich and Udo Rudloff and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yaroslav Teper

16 papers receiving 755 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yaroslav Teper United States	10	346	206	123	104	99	16	762
Victoria Shaw United Kingdom	18	224 0.6×	280 1.4×	197 1.6×	156 1.5×	76 0.8×	32	865
Stephen MacLennan Italy	15	462 1.3×	110 0.5×	125 1.0×	138 1.3×	90 0.9×	19	1.1k
Yongsheng Jiang China	17	325 0.9×	135 0.7×	86 0.7×	69 0.7×	108 1.1×	53	828
Xiaoyan Zhu China	17	521 1.5×	204 1.0×	151 1.2×	119 1.1×	193 1.9×	50	1.1k
David Bargiela United Kingdom	17	412 1.2×	180 0.9×	150 1.2×	163 1.6×	94 0.9×	30	855
Yiran Chen China	15	217 0.6×	132 0.6×	78 0.6×	75 0.7×	103 1.0×	48	658
Masayuki Sasaki Japan	11	388 1.1×	358 1.7×	89 0.7×	163 1.6×	133 1.3×	15	1.0k
Eric Seidlitz Canada	21	545 1.6×	189 0.9×	133 1.1×	57 0.5×	269 2.7×	34	1.1k
Masahide Fujita Japan	18	347 1.0×	222 1.1×	101 0.8×	123 1.2×	272 2.7×	63	949
Célia A. Kanashiro United States	18	410 1.2×	178 0.9×	104 0.8×	80 0.8×	170 1.7×	31	903

Countries citing papers authored by Yaroslav Teper

Since Specialization

Citations

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

Fields of papers citing papers by Yaroslav Teper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaroslav Teper

This figure shows the co-authorship network connecting the top 25 collaborators of Yaroslav Teper. A scholar is included among the top collaborators of Yaroslav Teper 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 Yaroslav Teper. Yaroslav Teper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

1.

Sun, Xiaoying, Yaroslav Teper, James Sinnett‐Smith, et al.. (2024). Stress and Obesity Signaling Converge on CREB Phosphorylation to Promote Pancreatic Cancer. Molecular Cancer Research. 23(3). 236–249. 4 indexed citations

2.

Teper, Yaroslav, Linda Ye, Richard T. Waldron, et al.. (2023). Low dosage combination treatment with metformin and simvastatin inhibits obesity-promoted pancreatic cancer development in male KrasG12D mice. Scientific Reports. 13(1). 16144–16144. 6 indexed citations

3.

Sinnett‐Smith, James, et al.. (2022). Opposite Effects of Src Family Kinases on YAP and ERK Activation in Pancreatic Cancer Cells: Implications for Targeted Therapy. Molecular Cancer Therapeutics. 21(11). 1652–1662. 10 indexed citations

4.

Teper, Yaroslav, Linda Ye, James Sinnett‐Smith, et al.. (2022). Statins Inhibit Inflammatory Cytokine Production by Macrophages and Acinar-to-Ductal Metaplasia of Pancreatic Cells. SHILAP Revista de lepidopterología. 1(4). 640–651. 1 indexed citations

5.

Teper, Yaroslav, et al.. (2021). Direct Effects of Lipopolysaccharide on Human Pancreatic Cancer Cells. Pancreas. 50(4). 524–528. 13 indexed citations

6.

Teper, Yaroslav & Guido Eibl. (2020). Pancreatic Macrophages: Critical Players in Obesity-Promoted Pancreatic Cancer. Cancers. 12(7). 1946–1946. 9 indexed citations

7.

Bian, Yansong, Yaroslav Teper, Lesley A. Mathews Griner, et al.. (2019). Target Deconvolution of a Multikinase Inhibitor with Antimetastatic Properties Identifies TAOK3 as a Key Contributor to a Cancer Stem Cell–Like Phenotype. Molecular Cancer Therapeutics. 18(11). 2097–2110. 19 indexed citations

8.

Sorber, Rebecca, Yaroslav Teper, Abisola Abisoye-Ogunniyan, et al.. (2016). Whole Genome Sequencing of Newly Established Pancreatic Cancer Lines Identifies Novel Somatic Mutation (c.2587G>A) in Axon Guidance Receptor Plexin A1 as Enhancer of Proliferation and Invasion. PLoS ONE. 11(3). e0149833–e0149833. 22 indexed citations

9.

Abate‐Daga, Daniel, Kiran H. Lagisetty, Eric Tran, et al.. (2014). A Novel Chimeric Antigen Receptor Against Prostate Stem Cell Antigen Mediates Tumor Destruction in a Humanized Mouse Model of Pancreatic Cancer. Human Gene Therapy. 25(12). 1003–1012. 153 indexed citations

10.

Finkelstein, David I., et al.. (2009). Altered fast- and slow-twitch muscle fibre characteristics in female mice with a (S248F) knock-in mutation of the brain neuronal nicotinic acetylcholine receptor. Journal of Muscle Research and Cell Motility. 30(1-2). 73–83. 2 indexed citations

11.

Elmasri, Harun, Çağatay Karaaslan, Yaroslav Teper, et al.. (2009). Fatty acid binding protein 4 is a target of VEGF and a regulator of cell proliferation in endothelial cells. The FASEB Journal. 23(11). 3865–3873. 262 indexed citations

12.

Moses, David, John Drago, Yaroslav Teper, et al.. (2008). Fetal striatum- and ventral mesencephalon–derived expanded neurospheres rescue dopaminergic neurons in vitro and the nigro-striatal system in vivo. Neuroscience. 154(2). 606–620. 16 indexed citations

13.

Gantois, Ilse, Ke Fang, Daniela Babovic, et al.. (2007). Ablation of D1 dopamine receptor-expressing cells generates mice with seizures, dystonia, hyperactivity, and impaired oral behavior. Proceedings of the National Academy of Sciences. 104(10). 4182–4187. 54 indexed citations

14.

Moses, David, Yaroslav Teper, Ilse Gantois, et al.. (2006). Murine embryonic EGF-responsive ventral mesencephalic neurospheres display distinct regional specification and promote survival of dopaminergic neurons. Experimental Neurology. 199(1). 209–221. 20 indexed citations

15.

Aravagiri, Manickam, Yaroslav Teper, & Stephen R. Marder. (1999). Pharmacokinetics and tissue distribution of olanzapine in rats. Biopharmaceutics & Drug Disposition. 20(8). 369–377. 170 indexed citations

16.

Aravagiri, Manickam, Yaroslav Teper, & Stephen R. Marder. (1999). Pharmacokinetics and tissue distribution of olanzapine in rats. Biopharmaceutics & Drug Disposition. 20(8). 369–377. 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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