Gopi K. Podila

4.7k total citations
71 papers, 2.3k citations indexed

About

Gopi K. Podila is a scholar working on Plant Science, Molecular Biology and Pharmacology. According to data from OpenAlex, Gopi K. Podila has authored 71 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Plant Science, 29 papers in Molecular Biology and 15 papers in Pharmacology. Recurrent topics in Gopi K. Podila's work include Mycorrhizal Fungi and Plant Interactions (23 papers), Fungal Biology and Applications (15 papers) and Plant responses to elevated CO2 (11 papers). Gopi K. Podila is often cited by papers focused on Mycorrhizal Fungi and Plant Interactions (23 papers), Fungal Biology and Applications (15 papers) and Plant responses to elevated CO2 (11 papers). Gopi K. Podila collaborates with scholars based in United States, France and India. Gopi K. Podila's co-authors include David F. Karnosky, Leland J. Cseke, L M Rogers, P. E. Kolattukudy, Vincent L. Chiang, Martin B. Dickman, Shiv Hiremath, J. G. Isebrands, P.E. Kolattukudy and Asko Noormets and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Gopi K. Podila

67 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gopi K. Podila United States 27 1.8k 898 318 309 284 71 2.3k
Steven Ralph Canada 31 1.3k 0.7× 1.7k 1.9× 184 0.6× 143 0.5× 47 0.2× 40 3.1k
Fred O. Asiegbu Finland 31 2.2k 1.2× 620 0.7× 1.1k 3.4× 141 0.5× 54 0.2× 139 3.1k
Charles A. Leslie United States 35 2.4k 1.3× 1.4k 1.6× 181 0.6× 169 0.5× 44 0.2× 98 3.4k
Walter Chitarra Italy 31 2.3k 1.3× 584 0.7× 250 0.8× 180 0.6× 32 0.1× 90 2.6k
Irene Perrone Italy 20 2.6k 1.4× 1.4k 1.5× 112 0.4× 434 1.4× 57 0.2× 37 2.9k
Pierre Coutos‐Thévenot France 25 2.4k 1.3× 1.1k 1.2× 226 0.7× 93 0.3× 29 0.1× 39 2.8k
R.B. Pearce United Kingdom 22 813 0.5× 250 0.3× 522 1.6× 84 0.3× 60 0.2× 41 1.4k
Lingan Kong China 32 2.8k 1.5× 990 1.1× 282 0.9× 101 0.3× 19 0.1× 110 3.3k
Pierluigi Bonello United States 35 1.8k 1.0× 727 0.8× 906 2.8× 265 0.9× 61 0.2× 119 3.6k
H. Lyr Germany 20 1.2k 0.7× 363 0.4× 529 1.7× 65 0.2× 24 0.1× 165 1.8k

Countries citing papers authored by Gopi K. Podila

Since Specialization
Citations

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

Fields of papers citing papers by Gopi K. Podila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gopi K. Podila

This figure shows the co-authorship network connecting the top 25 collaborators of Gopi K. Podila. A scholar is included among the top collaborators of Gopi K. Podila 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 Gopi K. Podila. Gopi K. Podila 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.
Hiremath, Shiv, et al.. (2013). MOLECULAR MARKER GENES FOR ECTOMYCORRHIZAL SYMBIOSIS. International Journal of Pharma and Bio Sciences. 4(1). 1075–1088. 3 indexed citations
2.
Podila, Gopi K., Avinash Sreedasyam, & Michael Muratet. (2009). PopulusRhizosphere and the Ectomycorrhizal Interactome. Critical Reviews in Plant Sciences. 28(5). 359–367. 24 indexed citations
3.
Miller, R. M. & Gopi K. Podila. (2008). Plant Signals Disrupt (regulate?) Arbuscular Mycorrhizal Fungal Growth Under Enhanced Ozone and CO2 Growing Conditions for Populus tremuloides. AGU Fall Meeting Abstracts. 2008.
4.
Pandey, Ajay Kumar, et al.. (2008). Cold induced Botrytis cinerea enolase (BcEnol-1) functions as a transcriptional regulator and is controlled by cAMP. Molecular Genetics and Genomics. 281(2). 135–146. 14 indexed citations
5.
Jain, Preti, et al.. (2008). Comparative analysis of non-classically secreted proteins in Botrytis cinerea and symbiotic fungus Laccaria bicolor. BMC Bioinformatics. 9(S10). 10 indexed citations
6.
Cseke, Leland J., et al.. (2007). High efficiency poplar transformation. Plant Cell Reports. 26(9). 1529–1538. 45 indexed citations
7.
Duplessis, Sébastien, et al.. (2005). Gene expression patterns of trembling aspen trees following long‐term exposure to interacting elevated CO2 and tropospheric O3. New Phytologist. 167(1). 129–142. 90 indexed citations
8.
Duplessis, Sébastien, et al.. (2005). Gene expression patterns of trembling aspen trees following long-term exposure to interacting elevated CO2 and tropospheric O3. HAL (Le Centre pour la Communication Scientifique Directe). 5 indexed citations
9.
10.
Balasubramanian, Sujata, et al.. (2002). Differential expression of a malate synthase gene during the preinfection stage of symbiosis in the ectomycorrhizal fungus Laccaria bicolor. New Phytologist. 154(2). 517–527. 15 indexed citations
11.
Noormets, Asko, Anu Sõber, Eva J. Pell, et al.. (2001). Stomatal and non‐stomatal limitation to photosynthesis in two trembling aspen (Populus tremuloides Michx.) clones exposed to elevated CO2 and/or O3. Plant Cell & Environment. 24(3). 327–336. 147 indexed citations
12.
Wustman, Brandon A., Elina Oksanen, David F. Karnosky, et al.. (2001). Effects of elevated CO2 and O3 on aspen clones varying in O3 sensitivity: can CO2 ameliorate the harmful effects of O3?. Environmental Pollution. 115(3). 473–481. 74 indexed citations
13.
Noormets, Asko, Gopi K. Podila, & David F. Karnosky. (2000). Rapid response of antioxidant enzymes to O3-induced oxidative stress in Populus tremuloides clones varying in O3 tolerance. Digital Commons - USU (Utah State University). 7(4). 335–338. 4 indexed citations
14.
Tsai, Chung‐Jui, et al.. (1999). Altered lignin composition in quaking aspen [Populus tremuloides] through manipulation of caffeic acid/5-hydroxy ferulic acid O-methyltransferase gene expression. Digital Commons - USU (Utah State University).
15.
Podila, Gopi K., et al.. (1999). Genetic engineering of an ectomycorrhizal fungusLaccaria bicolorfor use as a biological control agent. Mycologia. 91(2). 237–242. 17 indexed citations
16.
Kim, Sungjae, Jun Zheng, Shivanand Hiremath, & Gopi K. Podila. (1998). Cloning and characterization of a symbiosis-related gene from an ectomycorrhizal fungus Laccaria bicolor. Gene. 222(2). 203–212. 23 indexed citations
17.
Podila, Gopi K., et al.. (1997). Differences in O3-induced superoxide dismutase and glutathione antioxidant expression in O3 tolerant and sensitive trembling aspen (Populus tremuloides Michx.) clones. 4(1). 25. 11 indexed citations
18.
Dwivedi, Upendra N., Wilbur Campbell, Raju Datla, et al.. (1994). Modification of lignin biosynthesis in transgenic Nicotiana through expression of an antisense O-methyltransferase gene from Populus. Plant Molecular Biology. 26(1). 61–71. 94 indexed citations
19.
Podila, Gopi K., et al.. (1993). Cloning of Protocatechuate 3,4-Dioxygenase Genes from Bradyrhizobium japonicum USDA110. Applied and Environmental Microbiology. 59(8). 2717–2719. 6 indexed citations
20.

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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