Phanikanth Jogam

1.4k total citations
41 papers, 909 citations indexed

About

Phanikanth Jogam is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Phanikanth Jogam has authored 41 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 26 papers in Plant Science and 8 papers in Cell Biology. Recurrent topics in Phanikanth Jogam's work include Plant tissue culture and regeneration (30 papers), Plant Genetic and Mutation Studies (9 papers) and Plant Pathogens and Fungal Diseases (8 papers). Phanikanth Jogam is often cited by papers focused on Plant tissue culture and regeneration (30 papers), Plant Genetic and Mutation Studies (9 papers) and Plant Pathogens and Fungal Diseases (8 papers). Phanikanth Jogam collaborates with scholars based in India, United States and Pakistan. Phanikanth Jogam's co-authors include Sadanandam Abbagani, Venkateswar Rao Allini, Dulam Sandhya, Anshu Alok, Gulab Khan Rohela, M. Manokari, Monika K Shekhawat, Venkataiah Peddaboina, S. Priyadharshini and Pawan Shukla and has published in prestigious journals such as Frontiers in Plant Science, International Journal of Biological Macromolecules and BioMed Research International.

In The Last Decade

Phanikanth Jogam

41 papers receiving 886 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phanikanth Jogam India 19 747 570 103 100 89 41 909
Dongyan Zhao United States 18 743 1.0× 598 1.0× 37 0.4× 88 0.9× 85 1.0× 41 1.1k
Venkateswar Rao Allini India 13 447 0.6× 378 0.7× 42 0.4× 98 1.0× 46 0.5× 25 630
Jean‐Louis Magnard France 19 881 1.2× 563 1.0× 39 0.4× 122 1.2× 176 2.0× 25 1.1k
Chun Sui China 19 914 1.2× 388 0.7× 93 0.9× 124 1.2× 70 0.8× 65 1.4k
S. R. Bhat India 26 1.4k 1.8× 1.3k 2.3× 70 0.7× 70 0.7× 138 1.6× 96 1.8k
Jaindra Nath Tripathi Kenya 25 1.0k 1.4× 1.4k 2.5× 87 0.8× 89 0.9× 28 0.3× 59 1.7k
Manzhu Bao China 17 659 0.9× 595 1.0× 45 0.4× 36 0.4× 110 1.2× 48 842
Honghao Lv China 25 1.1k 1.5× 1.7k 2.9× 166 1.6× 52 0.5× 66 0.7× 131 2.1k
Elsa Góngora‐Castillo United States 16 521 0.7× 515 0.9× 67 0.7× 24 0.2× 36 0.4× 29 874
Mu Zhuang China 25 1.3k 1.8× 1.7k 3.0× 111 1.1× 66 0.7× 70 0.8× 153 2.2k

Countries citing papers authored by Phanikanth Jogam

Since Specialization
Citations

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

Fields of papers citing papers by Phanikanth Jogam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phanikanth Jogam

This figure shows the co-authorship network connecting the top 25 collaborators of Phanikanth Jogam. A scholar is included among the top collaborators of Phanikanth Jogam 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 Phanikanth Jogam. Phanikanth Jogam 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.
Sheri, Vijay, Harikrishnan Mohan, Phanikanth Jogam, et al.. (2025). CRISPR/Cas genome editing for cotton precision breeding: mechanisms, advances, and prospects. Journal of Cotton Research. 8(1). 2 indexed citations
2.
Rohela, Gulab Khan, et al.. (2024). Nanoparticles as elicitors and stimulators for plant tissue culture, transgenics, and genome editing: A comprehensive review. Industrial Crops and Products. 222. 120097–120097. 4 indexed citations
3.
Jogam, Phanikanth, et al.. (2024). Tapetum-specific expression of cysteine protease induces male sterility in tomato. Plant Gene. 38. 100454–100454. 2 indexed citations
4.
Jogam, Phanikanth, Dulam Sandhya, M. Manokari, et al.. (2024). Monitoring genetic transformation with RUBY visible reporter in Nicotiana tabaccum L.. Plant Cell Tissue and Organ Culture (PCTOC). 157(1). 5 indexed citations
5.
Manokari, M., Phanikanth Jogam, Abhijit Dey, et al.. (2023). Meta-Topolin enhanced direct shoot organogenesis and regeneration from leaf explants of Coleus forskohlii (Willd.) Briq. Industrial Crops and Products. 197. 116584–116584. 13 indexed citations
6.
Jogam, Phanikanth, Dulam Sandhya, Anshu Alok, et al.. (2023). Editing of TOM1 gene in tobacco using CRISPR/Cas9 confers resistance to Tobacco mosaic virus. Molecular Biology Reports. 50(6). 5165–5176. 10 indexed citations
7.
Rohela, Gulab Khan, et al.. (2022). Biotechnological Perspectives to Combat the COVID-19 Pandemic: Precise Diagnostics and Inevitable Vaccine Paradigms. Cells. 11(7). 1182–1182. 12 indexed citations
8.
Jogam, Phanikanth, et al.. (2022). Expression of radish defensin (RsAFP2) gene in chickpea (Cicer arietinum L.) confers resistance to Fusarium wilt disease. Molecular Biology Reports. 50(1). 11–18. 4 indexed citations
9.
Jogam, Phanikanth, Dulam Sandhya, Anshu Alok, et al.. (2022). Agrobacterium-mediated genetic transformation and cloning of candidate reference genes in suspension cells of Artemisia pallens Wall. ex DC. 3 Biotech. 12(9). 194–194. 2 indexed citations
10.
Sandhya, Dulam, et al.. (2022). Highly efficient Agrobacterium-mediated transformation and plant regeneration system for genome engineering in tomato. Saudi Journal of Biological Sciences. 29(6). 103292–103292. 16 indexed citations
11.
Jogam, Phanikanth, Dulam Sandhya, Anshu Alok, et al.. (2022). A review on CRISPR/Cas-based epigenetic regulation in plants. International Journal of Biological Macromolecules. 219. 1261–1271. 49 indexed citations
12.
Shekhawat, Monika K, S. Priyadharshini, Phanikanth Jogam, Vijay Kumar, & M. Manokari. (2021). Meta-topolin and liquid medium enhanced in vitro regeneration in Scaevola taccada (Gaertn.) Roxb. In Vitro Cellular & Developmental Biology - Plant. 57(2). 296–306. 34 indexed citations
13.
Sandhya, Dulam, Phanikanth Jogam, M. Manokari, et al.. (2021). High-frequency in vitro propagation and assessment of genetic uniformity and micro-morphological characterization of Origanum majorana L. –A highly traded aromatic herb. Biocatalysis and Agricultural Biotechnology. 34. 102024–102024. 21 indexed citations
14.
Alok, Anshu, Dulam Sandhya, Phanikanth Jogam, et al.. (2020). The Rise of the CRISPR/Cpf1 System for Efficient Genome Editing in Plants. Frontiers in Plant Science. 11. 264–264. 63 indexed citations
15.
Rohela, Gulab Khan, Phanikanth Jogam, Mohammad Yaseen Mir, et al.. (2020). Indirect regeneration and genetic fidelity analysis of acclimated plantlets through SCoT and ISSR markers in Morus alba L. cv. Chinese white. Biotechnology Reports. 25. e00417–e00417. 53 indexed citations
16.
Sandhya, Dulam, Phanikanth Jogam, Venkateswar Rao Allini, Sadanandam Abbagani, & Anshu Alok. (2020). The present and potential future methods for delivering CRISPR/Cas9 components in plants. Journal of Genetic Engineering and Biotechnology. 18(1). 25–25. 87 indexed citations
18.
Jogam, Phanikanth, et al.. (2020). Intraspecific genetic variation inCorynandra chelidonii(Angiosperms: Cleomaceae) as revealed by SCoT, ISSR and RAPD analyses. Journal of Plant Biotechnology. 47(4). 289–297. 6 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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