Malali Gowda

1.3k total citations
28 papers, 819 citations indexed

About

Malali Gowda is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Malali Gowda has authored 28 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 13 papers in Plant Science and 4 papers in Cell Biology. Recurrent topics in Malali Gowda's work include Genomics and Phylogenetic Studies (16 papers), Fungal and yeast genetics research (6 papers) and Plant Disease Resistance and Genetics (5 papers). Malali Gowda is often cited by papers focused on Genomics and Phylogenetic Studies (16 papers), Fungal and yeast genetics research (6 papers) and Plant Disease Resistance and Genetics (5 papers). Malali Gowda collaborates with scholars based in India, United States and China. Malali Gowda's co-authors include Guo‐Liang Wang, Rebecca M. Davidson, C. Robin Buell, Ning Jiang, Brieanne Vaillancourt, Haining Lin, Ralph A. Dean, Bharat B. Chattoo, Shin‐Han Shiu and H. B. Mahesh and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Malali Gowda

27 papers receiving 797 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malali Gowda India 16 560 507 182 77 41 28 819
Aiping Zheng China 17 518 0.9× 303 0.6× 109 0.6× 72 0.9× 30 0.7× 36 698
Runmao Lin China 18 752 1.3× 581 1.1× 77 0.4× 103 1.3× 38 0.9× 52 1.0k
Travis Banks Canada 14 1.3k 2.2× 779 1.5× 265 1.5× 55 0.7× 47 1.1× 19 1.5k
Qiming Deng China 21 1.3k 2.3× 773 1.5× 319 1.8× 103 1.3× 52 1.3× 64 1.6k
Jorge Gómez‐Ariza Italy 14 874 1.6× 388 0.8× 180 1.0× 40 0.5× 49 1.2× 15 1.0k
Patricia Manosalva United States 16 1.2k 2.2× 428 0.8× 64 0.4× 128 1.7× 48 1.2× 28 1.4k
Serry Koh United States 15 1.2k 2.2× 505 1.0× 87 0.5× 87 1.1× 26 0.6× 21 1.4k

Countries citing papers authored by Malali Gowda

Since Specialization
Citations

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

Fields of papers citing papers by Malali Gowda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malali Gowda

This figure shows the co-authorship network connecting the top 25 collaborators of Malali Gowda. A scholar is included among the top collaborators of Malali Gowda 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 Malali Gowda. Malali Gowda 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.
Arunkumar, Kallare P., et al.. (2023). Genomic and transcriptomic analysis of sacred fig (Ficus religiosa). BMC Genomics. 24(1). 197–197. 2 indexed citations
2.
Gowda, Malali, et al.. (2023). De novo genome assembly and annotation of the medicinal plant Tinospora cordifolia (Willd.) Miers ex Hook. f. & Thom’s. Functional & Integrative Genomics. 23(4). 330–330. 1 indexed citations
3.
4.
Shirke, Meghana Deepak, et al.. (2020). Comparative analysis of secondary metabolite gene clusters in different strains of Magnaporthe oryzae. FEMS Microbiology Letters. 368(1). 4 indexed citations
5.
Ambardar, Sheetal & Malali Gowda. (2018). High-Resolution Full-Length HLA Typing Method Using Third Generation (Pac-Bio SMRT) Sequencing Technology. Methods in molecular biology. 1802. 135–153. 16 indexed citations
6.
Rangiah, Kannan, et al.. (2016). UHPLC-MS/SRM method for quantification of neem metabolites from leaf extracts of Meliaceae family plants. Analytical Methods. 8(9). 2020–2031. 17 indexed citations
7.
Shirke, Meghana Deepak, H. B. Mahesh, & Malali Gowda. (2016). Genome-Wide Comparison of Magnaporthe Species Reveals a Host-Specific Pattern of Secretory Proteins and Transposable Elements. PLoS ONE. 11(9). e0162458–e0162458. 23 indexed citations
8.
Mahesh, H. B., Meghana Deepak Shirke, Siddarth Singh, et al.. (2016). Indica rice genome assembly, annotation and mining of blast disease resistance genes. BMC Genomics. 17(1). 242–242. 45 indexed citations
9.
Gowda, Malali & Sheetal Ambardar. (2016). Comparative Analyses of Low, Medium and High-Resolution HLA Typing Technologies for Human Populations. Journal of Clinical & Cellular Immunology. 7(2). 7 indexed citations
10.
Gowda, Malali, et al.. (2015). Genome analysis of rice-blast fungus Magnaporthe oryzae field isolates from southern India. Genomics Data. 5. 284–291. 20 indexed citations
11.
Davidson, Rebecca M., Malali Gowda, Gaurav D. Moghe, et al.. (2012). Comparative transcriptomics of three Poaceae species reveals patterns of gene expression evolution. The Plant Journal. 71(3). 492–502. 186 indexed citations
12.
Khedkar, Supriya, et al.. (2012). Draft Genome Sequence of Staphylococcus aureus ST672, an Emerging Disease Clone from India. Journal of Bacteriology. 194(24). 6946–6947. 11 indexed citations
13.
Gowda, Malali, Cristiano Caixeta Nunes, Joshua Sailsbery, et al.. (2010). Genome-wide characterization of methylguanosine-capped and polyadenylated small RNAs in the rice blast fungus Magnaporthe oryzae. Nucleic Acids Research. 38(21). 7558–7569. 16 indexed citations
14.
Gowda, Malali & Guo‐Liang Wang. (2008). Robust-LongSAGE (RL-SAGE). Methods in molecular biology. 387. 25–38. 1 indexed citations
15.
Gowda, Malali, Huameng Li, & Guo‐Liang Wang. (2007). Robust analysis of 5′-transcript ends: a high-throughput protocol for characterization of sequence diversity of transcription start sites. Nature Protocols. 2(7). 1622–1632. 7 indexed citations
16.
Gowda, Malali, R C Venu, Kan Nobuta, et al.. (2006). Deep and comparative analysis of the mycelium and appressorium transcriptomes of Magnaporthe grisea using MPSS, RL-SAGE, and oligoarray methods. BMC Genomics. 7(1). 310–310. 48 indexed citations
17.
Gowda, Malali, R C Venu, Yulin Jia, et al.. (2006). Use of Robust-Long Serial Analysis of Gene Expression to Identify Novel Fungal and Plant Genes Involved in Host-Pathogen Interactions. Humana Press eBooks. 354. 131–144. 9 indexed citations
18.
Gowda, Malali, et al.. (2006). Molecular mapping of a novel blast resistance gene Pi38 in rice using SSLP and AFLP markers. Plant Breeding. 125(6). 596–599. 35 indexed citations
19.
Gowda, Malali, et al.. (2006). Robust analysis of 5′-transcript ends (5′-RATE): a novel technique for transcriptome analysis and genome annotation. Nucleic Acids Research. 34(19). e126–e126. 30 indexed citations
20.
Gowda, Malali, Chatchawan Jantasuriyarat, Ralph A. Dean, & Guo‐Liang Wang. (2004). Robust-LongSAGE (RL-SAGE): A Substantially Improved LongSAGE Method for Gene Discovery and Transcriptome Analysis . PLANT PHYSIOLOGY. 134(3). 890–897. 77 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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