Vikranth Kumar

521 total citations
20 papers, 372 citations indexed

About

Vikranth Kumar is a scholar working on Plant Science, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Vikranth Kumar has authored 20 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 5 papers in Molecular Biology and 4 papers in Computer Networks and Communications. Recurrent topics in Vikranth Kumar's work include Plant nutrient uptake and metabolism (13 papers), Plant Molecular Biology Research (8 papers) and Plant Stress Responses and Tolerance (6 papers). Vikranth Kumar is often cited by papers focused on Plant nutrient uptake and metabolism (13 papers), Plant Molecular Biology Research (8 papers) and Plant Stress Responses and Tolerance (6 papers). Vikranth Kumar collaborates with scholars based in South Korea, China and United States. Vikranth Kumar's co-authors include Yuan Hu Xuan, De Peng Yuan, Chang‐deok Han, Ryza A. Priatama, Byoung Il Je, Baolei Jia, Chul Min Kim, Yue Gao, Sung Hoon Kim and Ki‐Hong Jung and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLANT PHYSIOLOGY and Biochemical and Biophysical Research Communications.

In The Last Decade

Vikranth Kumar

20 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vikranth Kumar South Korea 11 348 111 24 11 10 20 372
De Peng Yuan China 11 401 1.2× 98 0.9× 11 0.5× 7 0.6× 6 0.6× 15 427
Shaogan Wang China 5 398 1.1× 214 1.9× 49 2.0× 6 0.5× 9 0.9× 7 455
Jiajian Cao China 11 373 1.1× 202 1.8× 20 0.8× 5 0.5× 2 0.2× 19 427
Ibrahim Eid Elesawi Egypt 10 175 0.5× 96 0.9× 42 1.8× 9 0.8× 1 0.1× 13 229
Ramakrishna Chopperla India 7 234 0.7× 93 0.8× 19 0.8× 4 0.4× 10 257
Zhuang Xu China 6 374 1.1× 127 1.1× 73 3.0× 3 0.3× 2 0.2× 10 418
Zi Yuan Wang China 8 254 0.7× 62 0.6× 18 0.8× 4 0.4× 11 275
Juthamas Chaiwanon Thailand 6 439 1.3× 230 2.1× 9 0.4× 7 0.6× 1 0.1× 8 470
Xianjun Wu China 8 217 0.6× 84 0.8× 22 0.9× 4 0.4× 12 246

Countries citing papers authored by Vikranth Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Vikranth Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikranth Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Vikranth Kumar. A scholar is included among the top collaborators of Vikranth 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 Vikranth Kumar. Vikranth 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
2.
Yoon, Young-Eun, et al.. (2024). Regulatory Response of Rice Seedlings to Exogenously Applied Kinetin During Oxidative Stress. Journal of Plant Growth Regulation. 43(12). 4680–4690. 3 indexed citations
3.
Li, Xinrui, Huan Chen, Shuo Yang, Vikranth Kumar, & Yuan Hu Xuan. (2024). Phytochrome B promotes blast disease resistance and enhances yield in rice. PLANT PHYSIOLOGY. 196(4). 3023–3032. 1 indexed citations
4.
Yang, Shuo, et al.. (2024). Mutation at Grassy tiller 1 increases rice yield production and resistance to sheath blight. PubMed. 2(1). 4–4. 3 indexed citations
5.
6.
Jung, Jin Hee, Huan Chen, Shuo Yang, et al.. (2022). Mutation of phytochrome B promotes resistance to sheath blight and saline–alkaline stress via increasing ammonium uptake in rice. The Plant Journal. 113(2). 277–290. 15 indexed citations
7.
Yuan, De Peng, et al.. (2022). Ammonium transporter 1 increases rice resistance to sheath blight by promoting nitrogen assimilation and ethylene signalling. Plant Biotechnology Journal. 20(6). 1085–1097. 33 indexed citations
8.
Yang, Shuo, et al.. (2022). Rhizoctonia solani transcriptional activator interacts with rice WRKY53 and grassy tiller 1 to activate SWEET transporters for nutrition. Journal of Advanced Research. 50. 1–12. 38 indexed citations
9.
Kumar, Vikranth, et al.. (2021). CBL-interacting protein kinase 31 regulates rice resistance to blast disease by modulating cellular potassium levels. Biochemical and Biophysical Research Communications. 563. 23–30. 10 indexed citations
10.
Chu, Jin, et al.. (2021). Protein Phosphatase 2A Catalytic Subunit PP2A-1 Enhances Rice Resistance to Sheath Blight Disease. SHILAP Revista de lepidopterología. 3. 632136–632136. 13 indexed citations
11.
Kumar, Vikranth, Sung Hoon Kim, Jung Heo, et al.. (2021). Tiller Outgrowth in Rice (Oryza sativa L.) is Controlled by OsGT1, Which Acts Downstream of FC1 in a PhyB-Independent Manner. Journal of Plant Biology. 64(5). 417–430. 14 indexed citations
12.
Kumar, Vikranth, Sung Hoon Kim, Ryza A. Priatama, et al.. (2020). NH4+ Suppresses NO3–-Dependent Lateral Root Growth and Alters Gene Expression and Gravity Response in OsAMT1 RNAi Mutants of Rice (Oryza sativa). Journal of Plant Biology. 63(5). 391–407. 9 indexed citations
13.
Xuan, Yuan Hu, Vikranth Kumar, Xiao Han, et al.. (2019). CBL-INTERACTING PROTEIN KINASE 9 regulates ammonium-dependent root growth downstream of IDD10 in rice (Oryza sativa). Annals of Botany. 124(6). 947–960. 25 indexed citations
14.
Xuan, Yuan Hu, Vikranth Kumar, Xiao Feng Zhu, et al.. (2018). IDD10 is Involved in the Interaction between NH4+ and Auxin Signaling in Rice Roots. Journal of Plant Biology. 61(2). 72–79. 10 indexed citations
15.
Wang, Zi Yuan, Yue Gao, Jingmiao Liu, et al.. (2017). Basic helix-loop-helix (bHLH) transcriptional activator regulates ammonium uptake in rice. Plant Gene. 12. 57–65. 3 indexed citations
16.
Gao, Yue, Zi Yuan Wang, Vikranth Kumar, et al.. (2017). Genome-wide identification of the SWEET gene family in wheat. Gene. 642. 284–292. 58 indexed citations
17.
Chandran, Anil Kumar Nalini, Ryza A. Priatama, Vikranth Kumar, et al.. (2016). Genome-wide transcriptome analysis of expression in rice seedling roots in response to supplemental nitrogen. Journal of Plant Physiology. 200. 62–75. 37 indexed citations
18.
Park, Soon Ju, Jin Huang, Eun‐Jin Lee, et al.. (2016). Loose Plant Architecture1(LPA1) determines lamina joint bending by suppressing auxin signalling that interacts with C-22-hydroxylated and 6-deoxo brassinosteroids in rice. Journal of Experimental Botany. 67(6). 1883–1895. 57 indexed citations
19.
Lee, Jeung Joo, Yun‐Hee Kim, Youn‐Sig Kwak, et al.. (2014). A comparative study of proteomic differences between pencil and storage roots of sweetpotato (Ipomoea batatas (L.) Lam.). Plant Physiology and Biochemistry. 87. 92–101. 19 indexed citations
20.
Xuan, Yuan Hu, Ryza A. Priatama, Vikranth Kumar, & Chang‐deok Han. (2013). Regulatory role of indeterminate domain 10 (IDD10) in ammonium-dependent gene expression in rice roots. Plant Signaling & Behavior. 8(5). e24139–e24139. 9 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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