Radhakrishna Pillai

1.1k total citations
31 papers, 823 citations indexed

About

Radhakrishna Pillai is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Radhakrishna Pillai has authored 31 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Oncology and 5 papers in Immunology. Recurrent topics in Radhakrishna Pillai's work include Cancer-related Molecular Pathways (3 papers), Forensic Toxicology and Drug Analysis (3 papers) and HIV Research and Treatment (3 papers). Radhakrishna Pillai is often cited by papers focused on Cancer-related Molecular Pathways (3 papers), Forensic Toxicology and Drug Analysis (3 papers) and HIV Research and Treatment (3 papers). Radhakrishna Pillai collaborates with scholars based in India, United States and France. Radhakrishna Pillai's co-authors include Prabha Balaram, Ronald R. Watson, Ani V. Das, Edmund R. Marinelli, T.R. Santhoshkumar, Divya M. Sivaraman, Jackson James, S. Asha Nair, S. S. Vinod Chandra and Achuthsankar S. Nair and has published in prestigious journals such as Journal of Biological Chemistry, Cancer and Scientific Reports.

In The Last Decade

Radhakrishna Pillai

31 papers receiving 779 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Radhakrishna Pillai India 15 348 148 136 134 104 31 823
Elizabeth A. Van Tubergen United States 7 318 0.9× 153 1.0× 90 0.7× 186 1.4× 39 0.4× 7 621
K. Yamasaki Japan 16 335 1.0× 59 0.4× 26 0.2× 82 0.6× 51 0.5× 50 1.1k
T Ikeuchi Japan 13 295 0.8× 134 0.9× 232 1.7× 145 1.1× 19 0.2× 31 883
Evelyn Neppelberg Norway 17 176 0.5× 51 0.3× 216 1.6× 92 0.7× 31 0.3× 30 627
William D. Ball United States 21 536 1.5× 53 0.4× 32 0.2× 82 0.6× 109 1.0× 36 1.1k
Jennifer Tran United States 14 655 1.9× 231 1.6× 25 0.2× 96 0.7× 56 0.5× 37 1.2k
Frederico O. Gleber‐Netto United States 20 303 0.9× 131 0.9× 197 1.4× 292 2.2× 27 0.3× 50 985
Teruyuki Saho Japan 13 199 0.6× 55 0.4× 188 1.4× 56 0.4× 32 0.3× 18 659
Shigeru Saijo Japan 15 225 0.6× 102 0.7× 90 0.7× 183 1.4× 21 0.2× 67 839
Luciana O. Almeida Brazil 21 667 1.9× 214 1.4× 89 0.7× 245 1.8× 12 0.1× 47 1.1k

Countries citing papers authored by Radhakrishna Pillai

Since Specialization
Citations

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

Fields of papers citing papers by Radhakrishna Pillai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Radhakrishna Pillai

This figure shows the co-authorship network connecting the top 25 collaborators of Radhakrishna Pillai. A scholar is included among the top collaborators of Radhakrishna Pillai 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 Radhakrishna Pillai. Radhakrishna Pillai 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.
Kumar, T. R. Santhosh, et al.. (2020). Transitional dynamics of cancer stem cells in invasion and metastasis. Translational Oncology. 14(1). 100909–100909. 23 indexed citations
2.
Jones, Sara R., Shijulal Nelson‐Sathi, Yejun Wang, et al.. (2019). Evolutionary, genetic, structural characterization and its functional implications for the influenza A (H1N1) infection outbreak in India from 2009 to 2017. Scientific Reports. 9(1). 14690–14690. 24 indexed citations
3.
Pillai, Radhakrishna & S. Asha Nair. (2016). Polymorphism of p53 in cancer prognosis. The Indian Journal of Medical Research. 144(3). 314–316. 2 indexed citations
4.
Das, Ani V. & Radhakrishna Pillai. (2015). Implications of miR cluster 143/145 as universal anti-oncomiRs and their dysregulation during tumorigenesis. Cancer Cell International. 15(1). 92–92. 54 indexed citations
5.
Thulaseedharan, Jissa Vinoda, et al.. (2011). Prognostic significance of STAT3 and phosphorylated STAT3 in human soft tissue tumors - a clinicopathological analysis. Journal of Experimental & Clinical Cancer Research. 30(1). 56–56. 11 indexed citations
6.
Chandra, S. S. Vinod, et al.. (2010). MTar: a computational microRNA target prediction architecture for human transcriptome. BMC Bioinformatics. 11(S1). S2–S2. 54 indexed citations
7.
Pillai, Radhakrishna, Edmund R. Marinelli, & Rolf E. Swenson. (2006). A flexible method for preparation of peptide homo‐ and heterodimers functionalized with affinity probes, chelating ligands, and latent conjugating groups. Biopolymers. 84(6). 576–585. 20 indexed citations
8.
Wronski, Mathew A. von, Natarajan Raju, Radhakrishna Pillai, et al.. (2005). Tuftsin Binds Neuropilin-1 through a Sequence Similar to That Encoded by Exon 8 of Vascular Endothelial Growth Factor. Journal of Biological Chemistry. 281(9). 5702–5710. 105 indexed citations
9.
Madhavan, Jayaprakash, et al.. (1997). Expression of the Antiapoptotic Protein bcl-2 Is Not Dependent on the Tumor Suppressor p53 Protein in Indian Breast Carcinoma. Pathobiology. 65(2). 108–112. 8 indexed citations
10.
Lakshmi, S., et al.. (1997). c-erbB-2 Oncoprotein and Epidermal Growth Factor Receptor in Cervical Lesions. Pathobiology. 65(3). 163–168. 10 indexed citations
11.
Nair, S. Asha, et al.. (1996). Involucrin and Tumor Progression in the Uterine Cervix. Pathobiology. 64(6). 333–338. 9 indexed citations
12.
Kannan, S., Prabha Balaram, Radhakrishna Pillai, et al.. (1994). Alterations in Expression of Terminal Differentiation Markers of Keratinocytes during Oral Carcinogenesis. Pathobiology. 62(3). 127–133. 18 indexed citations
13.
Martínez, Francisca, et al.. (1993). Cocaine Metabolite (Benzoylecgonine) in Hair and Urine of Drug Users. Journal of Analytical Toxicology. 17(3). 138–142. 22 indexed citations
14.
Pillai, Radhakrishna, et al.. (1992). Oncogenesis of Squamous Carcinoma of the Uterine Cervix. International Journal of Gynecological Pathology. 11(1). 47–57. 11 indexed citations
15.
Pillai, Radhakrishna, et al.. (1992). Pathogenesis of oral submucous fibrosis. Relationship to risk factors associated with oral cancer. Cancer. 69(8). 2011–2020. 138 indexed citations
16.
Pillai, Radhakrishna, et al.. (1991). Oncogene expression and oral cancer. Journal of Surgical Oncology. 47(2). 102–108. 8 indexed citations
17.
Poet, Torka S., Radhakrishna Pillai, Steven Wood, & Ronald R. Watson. (1991). Stimulation of natural killer cell activity by murine retroviral infection and cocaine. Toxicology Letters. 59(1-3). 147–152. 11 indexed citations
19.
Pillai, Radhakrishna, et al.. (1991). Aids, drugs of abuse and the immune system: A complex immunotoxicological network. Archives of Toxicology. 65(8). 609–617. 59 indexed citations
20.
Pillai, Radhakrishna & Ronald R. Watson. (1990). In vitro immunotoxicology and immunopharmacology: studies on drugs of abuse. Toxicology Letters. 53(3). 269–283. 19 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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