K. Sree Kumar

2.5k total citations
58 papers, 2.1k citations indexed

About

K. Sree Kumar is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Organic Chemistry. According to data from OpenAlex, K. Sree Kumar has authored 58 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Molecular Biology and 11 papers in Organic Chemistry. Recurrent topics in K. Sree Kumar's work include Effects of Radiation Exposure (27 papers), Free Radicals and Antioxidants (11 papers) and Vitamin C and Antioxidants Research (6 papers). K. Sree Kumar is often cited by papers focused on Effects of Radiation Exposure (27 papers), Free Radicals and Antioxidants (11 papers) and Vitamin C and Antioxidants Research (6 papers). K. Sree Kumar collaborates with scholars based in United States, India and Pakistan. K. Sree Kumar's co-authors include Martin Hauer‐Jensen, Joseph F. Weiss, Paul Hochstein, S. Kulkarni, Sanchita Ghosh, Michael R. Landauer, Qiang Fu, Maaike Berbée, Thomas M. Seed and A. Helen and has published in prestigious journals such as Brain Research, Biometrics and Biochemical and Biophysical Research Communications.

In The Last Decade

K. Sree Kumar

57 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Sree Kumar United States 30 879 673 408 293 257 58 2.1k
Pius Maliakal United States 17 350 0.4× 650 1.0× 91 0.2× 299 1.0× 736 2.9× 45 2.9k
Jie Shi China 25 164 0.2× 937 1.4× 165 0.4× 290 1.0× 511 2.0× 146 3.6k
Guy Chisolm United States 36 159 0.2× 1.4k 2.1× 846 2.1× 226 0.8× 1.5k 5.9× 56 4.8k
Makoto Ayaori Japan 26 103 0.1× 547 0.8× 181 0.4× 202 0.7× 392 1.5× 83 2.2k
Dylan P. Hartley United States 24 153 0.2× 708 1.1× 212 0.5× 62 0.2× 108 0.4× 41 2.2k
Cong Wei United States 14 160 0.2× 1.6k 2.4× 117 0.3× 184 0.6× 59 0.2× 45 2.2k
Michael Balazy United States 37 114 0.1× 1.1k 1.7× 241 0.6× 179 0.6× 65 0.3× 82 3.2k
Chendil Damodaran United States 34 118 0.1× 1.7k 2.6× 166 0.4× 318 1.1× 68 0.3× 88 3.4k
Michael A. Pereira United States 25 122 0.1× 759 1.1× 134 0.3× 73 0.2× 168 0.7× 66 2.0k
M.J. Silver United States 27 93 0.1× 784 1.2× 388 1.0× 252 0.9× 137 0.5× 56 3.4k

Countries citing papers authored by K. Sree Kumar

Since Specialization
Citations

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

Fields of papers citing papers by K. Sree Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Sree Kumar. 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 K. Sree Kumar. The network helps show where K. Sree Kumar may publish in the future.

Co-authorship network of co-authors of K. Sree Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of K. Sree Kumar. A scholar is included among the top collaborators of K. Sree Kumar 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 K. Sree Kumar. K. Sree Kumar 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.
Logeshwaran, J., et al.. (2024). Improving crop production using an agro-deep learning framework in precision agriculture. BMC Bioinformatics. 25(1). 341–341. 21 indexed citations
2.
Huang, Jianzi, Ye Jin, Xiaohuan Guo, et al.. (2018). Temporal transcriptome profiling of developing seeds reveals a concerted gene regulation in relation to oil accumulation in Pongamia (Millettia pinnata). BMC Plant Biology. 18(1). 140–140. 12 indexed citations
3.
Ghosh, Sanchita, Rajbir Singh, Kushal Chakraborty, et al.. (2013). Metabolomic changes in gastrointestinal tissues after whole body radiation in a murine model. Molecular BioSystems. 9(4). 723–731. 23 indexed citations
4.
Suman, Shubhankar, Kamal Datta, Kushal Chakraborty, et al.. (2013). Gamma tocotrienol, a potent radioprotector, preferentially upregulates expression of anti-apoptotic genes to promote intestinal cell survival. Food and Chemical Toxicology. 60. 488–496. 36 indexed citations
5.
6.
Ghosh, Sanchita, S. Kulkarni, Michael W. Perkins, et al.. (2012). Amelioration of radiation-induced hematopoietic and gastrointestinal damage by Ex-RAD(R) in mice. Journal of Radiation Research. 53(4). 526–536. 62 indexed citations
7.
8.
Berbée, Maaike, Qiang Fu, Marjan Boerma, et al.. (2011). Mechanisms underlying the radioprotective properties of γ-tocotrienol: comparative gene expression profiling in tocol-treated endothelial cells. Genes & Nutrition. 7(1). 75–81. 31 indexed citations
9.
10.
Berbée, Maaike, Qiang Fu, K. Sree Kumar, & Martin Hauer‐Jensen. (2010). Novel Strategies to Ameliorate Radiation Injury: A Possible Role for Tetrahydrobiopterin. Current Drug Targets. 11(11). 1366–1374. 19 indexed citations
11.
Berbée, Maaike, Qiang Fu, Sarita Garg, et al.. (2010). Pentoxifylline Enhances the Radioprotective Properties of γ-Tocotrienol: Differential Effects on the Hematopoietic, Gastrointestinal and Vascular Systems. Radiation Research. 175(3). 297–306. 38 indexed citations
12.
Kodell, Ralph L., Shelly Lensing, Reid D. Landes, K. Sree Kumar, & Martin Hauer‐Jensen. (2009). Determination of Sample Sizes for Demonstrating Efficacy of Radiation Countermeasures. Biometrics. 66(1). 239–248. 10 indexed citations
13.
Singh, Vijay K., et al.. (2004). Radioprotection by N-palmitoylated nonapeptide of human interleukin-1β. Peptides. 26(3). 413–418. 11 indexed citations
14.
Srinivasan, Venkataraman, et al.. (2002). Determination of WR-1065 and WR-33278 by Liquid Chromatography with Electrochemical Detection: PVM 1:2002. Journal of AOAC International. 85(3). 551–554. 1 indexed citations
15.
Srinivasan, V., et al.. (2002). Radioprotection, pharmacokinetic and behavioural studies in mouse implanted with biodegradable drug (amifostine) pellets. International Journal of Radiation Biology. 78(6). 535–543. 36 indexed citations
16.
Kandasamy, Sathasiva B., K. Sree Kumar, & Alan H. Harris. (1993). Involvement of superoxide dismutase and glutathione peroxidase in attenuation of radiation-induced hyperthermia by interleukin-1α in rats. Brain Research. 606(1). 106–110. 9 indexed citations
17.
Weiss, Joseph F., V. Srinivasan, K. Sree Kumar, & Michael R. Landauer. (1992). Radioprotection by metals: Selenium. Advances in Space Research. 12(2-3). 223–231. 48 indexed citations
18.
Weiss, Joseph F., K. Sree Kumar, Thomas L. Walden, et al.. (1990). Advances in Radioprotection through the Use of Combined Agent Regimens. International Journal of Radiation Biology. 57(4). 709–722. 106 indexed citations
19.
Kumar, K. Sree & Cyril Ponnamperuma. (1988). Role of Free Radical Species of Oxygen in Space Radiation Damage and the Use of Antioxidants for Radioprotection, A Possible Study for the Lunar Base. 652. 149. 1 indexed citations
20.
Kumar, K. Sree, Y. N. Vaishnav, & Joseph F. Weiss. (1988). Radioprotection by antioxidant enzymes and enzyme mimetics. Pharmacology & Therapeutics. 39(1-3). 301–309. 41 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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