Prabakaran Kesavan

1.2k total citations
15 papers, 969 citations indexed

About

Prabakaran Kesavan is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Prabakaran Kesavan has authored 15 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Surgery. Recurrent topics in Prabakaran Kesavan's work include Pancreatic function and diabetes (4 papers), Microtubule and mitosis dynamics (2 papers) and Chemokine receptors and signaling (2 papers). Prabakaran Kesavan is often cited by papers focused on Pancreatic function and diabetes (4 papers), Microtubule and mitosis dynamics (2 papers) and Chemokine receptors and signaling (2 papers). Prabakaran Kesavan collaborates with scholars based in United States, India and France. Prabakaran Kesavan's co-authors include Marian T. Nakada, Yan Li, Yi Tang, Hillary J. Millar, Francis L. McCabe, Yi Tang, Patricia Rafferty, Yan Li, Franz M. Matschinsky and Peter J. Bugelski and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Cancer Research.

In The Last Decade

Prabakaran Kesavan

15 papers receiving 952 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prabakaran Kesavan United States 10 680 328 275 227 180 15 969
Sidhartha Tulachan United States 17 686 1.0× 473 1.4× 354 1.3× 114 0.5× 178 1.0× 27 1.2k
L. Jorge Góñez Australia 15 578 0.8× 247 0.8× 135 0.5× 253 1.1× 71 0.4× 21 1.0k
Barbara E. Crute United States 13 1.0k 1.5× 197 0.6× 180 0.7× 200 0.9× 121 0.7× 15 1.4k
Kerstin Dehne Germany 11 471 0.7× 121 0.4× 295 1.1× 147 0.6× 170 0.9× 16 890
Maureen Spit Netherlands 11 878 1.3× 177 0.5× 487 1.8× 136 0.6× 162 0.9× 13 1.3k
Li-Jyun Syu United States 16 629 0.9× 192 0.6× 281 1.0× 167 0.7× 99 0.6× 22 1.0k
Mary Barbara United States 15 768 1.1× 86 0.3× 301 1.1× 235 1.0× 162 0.9× 22 1.3k
Hannah R. Foster United States 7 351 0.5× 139 0.4× 333 1.2× 99 0.4× 142 0.8× 10 677
Kenzo Kaneko Japan 14 441 0.6× 178 0.5× 288 1.0× 127 0.6× 90 0.5× 37 838
Frank Wempe Germany 17 556 0.8× 86 0.3× 187 0.7× 126 0.6× 123 0.7× 28 978

Countries citing papers authored by Prabakaran Kesavan

Since Specialization
Citations

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

Fields of papers citing papers by Prabakaran Kesavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prabakaran Kesavan

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

All Works

15 of 15 papers shown
1.
Penugurti, Vasudevarao, Suresh Bugide, Anita Kumari, et al.. (2023). HPIP and RUFY3 are noncanonical guanine nucleotide exchange factors of Rab5 to regulate endocytosis-coupled focal adhesion turnover. Journal of Biological Chemistry. 299(11). 105311–105311. 1 indexed citations
2.
Kesavan, Prabakaran, et al.. (2020). Monitoring global changes in chromatin compaction states upon localized DNA damage with tools of fluorescence anisotropy. Molecular Biology of the Cell. 31(13). 1403–1410. 4 indexed citations
3.
Penugurti, Vasudevarao, Anita Kumari, Prabakaran Kesavan, et al.. (2019). Hematopoietic PBX-interacting protein is a substrate and an inhibitor of the APC/C–Cdc20 complex and regulates mitosis by stabilizing cyclin B1. Journal of Biological Chemistry. 294(26). 10236–10252. 17 indexed citations
4.
Tsui, Ping, Anuk Das, Brian Whitaker, et al.. (2008). Generation, characterization and biological activity of CCL2 (MCP-1/JE) and CCL12 (MCP-5) specific antibodies. Human Antibodies. 16(3-4). 117–125. 24 indexed citations
5.
Snyder, Linda A., Prabakaran Kesavan, Frank McCabe, et al.. (2007). Neutralization of CCL2 inhibits tumor angiogenesis and pancreatic tumor growth. Molecular Cancer Therapeutics. 6. 4 indexed citations
6.
Tang, Yi, Marian T. Nakada, Prabakaran Kesavan, et al.. (2005). Extracellular Matrix Metalloproteinase Inducer Stimulates Tumor Angiogenesis by Elevating Vascular Endothelial Cell Growth Factor and Matrix Metalloproteinases. Cancer Research. 65(8). 3193–3199. 297 indexed citations
7.
Kesavan, Prabakaran, Francis L. McCabe, Hillary J. Millar, et al.. (2005). Anti-CCL-2 / MCP-1 (monocyte chemoattractant protein-1) monoclonal antibodies effectively inhibit tumor angiogenesis and growth of human breast carcinoma. Cancer Research. 65. 254–254. 3 indexed citations
8.
Tang, Yi, Prabakaran Kesavan, Marian T. Nakada, & Yan Li. (2004). Tumor-Stroma Interaction: Positive Feedback Regulation of Extracellular Matrix Metalloproteinase Inducer (EMMPRIN) Expression and Matrix Metalloproteinase-Dependent Generation of Soluble EMMPRIN. Molecular Cancer Research. 2(2). 73–80. 227 indexed citations
9.
Sáinz, Bruno, Mary E. Marquart, Xiaodong Zheng, et al.. (2001). Effect of Famciclovir on Herpes Simplex Virus Type 1 Corneal Disease and Establishment of Latency in Rabbits. Antimicrobial Agents and Chemotherapy. 45(7). 2044–2053. 21 indexed citations
10.
Kesavan, Prabakaran, Liqun Wang, Elizabeth A. Davis, et al.. (1997). Structural instability of mutant β-cell glucokinase: implications for the molecular pathogenesis of maturity-onset diabetes of the young (type-2). Biochemical Journal. 322(1). 57–63. 39 indexed citations
11.
Dhir, Ravindra, et al.. (1995). Mouse embryonic stem cells express receptors of the insulin family of growth factors. Molecular Reproduction and Development. 42(2). 173–179. 5 indexed citations
12.
Liang, Yin, Prabakaran Kesavan, Kevin D. Niswender, et al.. (1995). Variable effects of maturity-onset-diabetes-of-youth (MODY)-associated glucokinase mutations on substrate interactions and stability of the enzyme. Biochemical Journal. 309(1). 167–173. 62 indexed citations
13.
Matschinsky, Franz M., Yin Liang, Prabakaran Kesavan, et al.. (1993). Glucokinase as pancreatic beta cell glucose sensor and diabetes gene.. Journal of Clinical Investigation. 92(5). 2092–2098. 231 indexed citations
14.
Kesavan, Prabakaran, et al.. (1991). Thyroid hormone decreases the expression of epidermal growth factor receptor. Journal of Biological Chemistry. 266(16). 10282–10286. 17 indexed citations
15.
Kesavan, Prabakaran, Priya Das, Jeffrey A. Kern, & Manjusri Das. (1990). Regulation of stability and synthesis of EGF-receptor mRNAs encoding for intact and truncated receptor forms.. PubMed. 5(4). 483–8. 17 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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