Sateesh Kunigal

882 total citations
19 papers, 567 citations indexed

About

Sateesh Kunigal is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Sateesh Kunigal has authored 19 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Sateesh Kunigal's work include Acute Myeloid Leukemia Research (3 papers), Protease and Inhibitor Mechanisms (3 papers) and Cancer Genomics and Diagnostics (3 papers). Sateesh Kunigal is often cited by papers focused on Acute Myeloid Leukemia Research (3 papers), Protease and Inhibitor Mechanisms (3 papers) and Cancer Genomics and Diagnostics (3 papers). Sateesh Kunigal collaborates with scholars based in United States, India and Germany. Sateesh Kunigal's co-authors include Srikumar Chellappan, Jasti S. Rao, Sajani S. Lakka, Surinder K. Batra, Wasia Rizwani, Navneet Momi, Moorthy P. Ponnusamy, Michel M. Ouellette, Sharnjeet Kaur and S. Rastogi and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Sateesh Kunigal

17 papers receiving 562 citations

Peers

Sateesh Kunigal

ONCOL

HEMAT

GENET

Mira C.P. Liu Australia

Timothy P. Craft United States

Mariella Patti Italy

Gary McIntosh United Kingdom

Catharina Conrad Germany

Monika Haemmerle Germany

Ae Kyung Park South Korea

Kirsty Allen United Kingdom

Norma Alejandra Chasseing Argentina

Dan Link United States

Mira C.P. Liu Australia

Sateesh Kunigal

316 ×1.1

204 ×1.3

ONCOL

137 ×1.1

84 ×0.8

HEMAT

58 ×0.6

GENET

Citations per year, relative to Sateesh Kunigal Sateesh Kunigal (= 1×) peers Mira C.P. Liu

Countries citing papers authored by Sateesh Kunigal

Since Specialization

Citations

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

Fields of papers citing papers by Sateesh Kunigal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sateesh Kunigal

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

All Works

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19 of 19 papers shown

Kunigal, Sateesh, et al.. (2022). Multigene Profiling to Identify Clinically Relevant Actionable Mutations in Head And Neck Cancers. 2(1). 25–32.

Rao, Vishal, et al.. (2021). Live-attenuated oral polio vaccine as a potential source of protection against COVID-19 – Review of literature. Indian Journal of Medical Sciences. 73. 41–47. 1 indexed citations

Kunigal, Sateesh, et al.. (2020). Multigene profiling to identify clinically relevant actionable mutations in head and neck cancers: An Indian study.. Journal of Clinical Oncology. 38(15_suppl). e18529–e18529.

Mannan, Ashraf U., et al.. (2016). Genotype-Phenotype Analysis in an Indian Family Affected with Li-Fraumeni Syndrome-Role of Genetic Counselling. International Journal of Human Genetics. 16(3-4). 98–106. 2 indexed citations

Kuenzi, Brent M., Lily L. Remsing Rix, Sateesh Kunigal, et al.. (2015). Abstract 675: Off-target based drug repurposing opportunities for tivantinib in acute myeloid leukemia. Cancer Research. 75(15_Supplement). 675–675. 1 indexed citations

Balasis, Maria E., Sateesh Kunigal, Yan Ma, et al.. (2015). Molecular Characterization of SRSF2 Mutation Identifies a Clinically Relevant Lncrna (MALAT1) in Chronic Myelomonocytic Leukemia (CMML). Blood. 126(23). 1641–1641. 1 indexed citations

Rizwani, Wasia, Courtney Schaal, Sateesh Kunigal, Domenico Coppola, & Srikumar Chellappan. (2014). Mammalian Lysine Histone Demethylase KDM2A Regulates E2F1-Mediated Gene Transcription in Breast Cancer Cells. PLoS ONE. 9(7). e100888–e100888. 35 indexed citations

Padron, Eric, Jeffrey S. Painter, Sateesh Kunigal, et al.. (2013). GM-CSF–dependent pSTAT5 sensitivity is a feature with therapeutic potential in chronic myelomonocytic leukemia. Blood. 121(25). 5068–5077. 108 indexed citations

Kunigal, Sateesh, Jamie K. Teer, Sean Yoder, et al.. (2013). JAK2 Dependent GM-CSF Signaling Triggers SRSF2 Phosphorylation: A Potential Cause Of Mutation-Independent RNA Splicing Aberrancy In CMML. Blood. 122(21). 2772–2772. 1 indexed citations

10.

Padron, Eric, Jeffrey S. Painter, Omar Abdel‐Wahab, et al.. (2013). P-229 GM-CSF-dependent pSTAT5 Sensitivity is a Feature of chronic myelomonocytic leukemia and a therapeutic target. Leukemia Research. 37. S126–S126. 1 indexed citations

11.

Treviño, José G., Smitha Pillai, Sateesh Kunigal, et al.. (2012). Nicotine Induces Inhibitor of Differentiation-1 in a Src-dependent Pathway Promoting Metastasis and Chemoresistance in Pancreatic Adenocarcinoma. Neoplasia. 14(12). 1102–1114. 59 indexed citations

12.

Kunigal, Sateesh, Moorthy P. Ponnusamy, Navneet Momi, Surinder K. Batra, & Srikumar Chellappan. (2012). Nicotine, IFN-γ and retinoic acid mediated induction of MUC4 in pancreatic cancer requires E2F1 and STAT-1 transcription factors and utilize different signaling cascades. Molecular Cancer. 11(1). 24–24. 26 indexed citations

13.

Momi, Navneet, Moorthy P. Ponnusamy, Sharnjeet Kaur, et al.. (2012). Nicotine/cigarette smoke promotes metastasis of pancreatic cancer through α7nAChR-mediated MUC4 upregulation. Oncogene. 32(11). 1384–1395. 111 indexed citations

14.

Rastogi, S., Wasia Rizwani, Bharat Joshi, Sateesh Kunigal, & Srikumar Chellappan. (2011). TNF-α response of vascular endothelial and vascular smooth muscle cells involve differential utilization of ASK1 kinase and p73. Cell Death and Differentiation. 19(2). 274–283. 62 indexed citations

15.

Treviño, José G., Smitha Pillai, Sateesh Kunigal, & Srikumar Chellappan. (2011). Abstract 1972: Nicotine regulates DNA-binding protein inhibitor (Id1) through a Src-dependent pathway promoting tumorigenic properties and chemoresistance in pancreatic adenocarcinoma. Cancer Research. 71(8_Supplement). 1972–1972. 1 indexed citations

16.

Chetty, Chandramu, et al.. (2008). Tissue Inhibitor of Metalloproteinase 3 Suppresses Tumor Angiogenesis in Matrix Metalloproteinase 2–Down-regulated Lung Cancer. Cancer Research. 68(12). 4736–4745. 47 indexed citations

17.

Kunigal, Sateesh, et al.. (2008). Matrix metalloproteinase-9 Inhibition Down-Regulates Radiation-Induced Nuclear Factor-κB Activity Leading to Apoptosis in Breast Tumors. Clinical Cancer Research. 14(11). 3617–3626. 25 indexed citations

18.

Kunigal, Sateesh, Christopher S. Gondi, Meena Gujrati, et al.. (2006). SPARC-induced migration of glioblastoma cell lines via uPA-uPAR signaling and activation of small GTPase RhoA. International Journal of Oncology. 29(6). 1349–57. 54 indexed citations

19.

Kunigal, Sateesh, Angelika Kusch, Sergey Tkachuk, et al.. (2003). Monocyte-expressed urokinase inhibits vascular smooth muscle cell growth by activating Stat1. Blood. 102(13). 4377–4383. 32 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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