Ranganath Gudimella

715 total citations
18 papers, 509 citations indexed

About

Ranganath Gudimella is a scholar working on Molecular Biology, Plant Science and Infectious Diseases. According to data from OpenAlex, Ranganath Gudimella has authored 18 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Plant Science and 4 papers in Infectious Diseases. Recurrent topics in Ranganath Gudimella's work include Plant Molecular Biology Research (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Plant Stress Responses and Tolerance (2 papers). Ranganath Gudimella is often cited by papers focused on Plant Molecular Biology Research (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Plant Stress Responses and Tolerance (2 papers). Ranganath Gudimella collaborates with scholars based in Malaysia, United States and Germany. Ranganath Gudimella's co-authors include Jennifer Ann Harikrishna, Norzulaani Khalid, J. Keulemans, Mark W. Davey, Rozaimi Razali, Rishya Manikam, Shamala Devi Sekaran, Arif Anwar, Cheng Foh Le and James A. Milton and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Ranganath Gudimella

17 papers receiving 498 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ranganath Gudimella 233 209 81 72 39 18 509
Katrin Janik 99 0.4× 202 1.0× 99 1.2× 74 1.0× 28 0.7× 37 462
Christine Chieh-Lin Lai 185 0.8× 61 0.3× 31 0.4× 68 0.9× 39 1.0× 19 379
Si Chen 161 0.7× 115 0.6× 69 0.9× 29 0.4× 20 0.5× 57 553
Marielle Odin 95 0.4× 117 0.6× 66 0.8× 38 0.5× 21 0.5× 13 452
Constanze Nossol 157 0.7× 245 1.2× 37 0.5× 41 0.6× 26 0.7× 18 499
Li Wan 361 1.5× 959 4.6× 228 2.8× 47 0.7× 34 0.9× 41 1.4k
Gleb Y. Fisunov 248 1.1× 78 0.4× 97 1.2× 219 3.0× 47 1.2× 38 466
Xiaojun Zhong 259 1.1× 123 0.6× 65 0.8× 38 0.5× 69 1.8× 33 541
Eric J. Haas-Stapleton 515 2.2× 101 0.5× 163 2.0× 32 0.4× 87 2.2× 22 834
Lydgia Jackson 154 0.7× 33 0.2× 52 0.6× 113 1.6× 70 1.8× 14 459

Countries citing papers authored by Ranganath Gudimella

Since Specialization
Citations

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

Fields of papers citing papers by Ranganath Gudimella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ranganath Gudimella

This figure shows the co-authorship network connecting the top 25 collaborators of Ranganath Gudimella. A scholar is included among the top collaborators of Ranganath Gudimella 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 Ranganath Gudimella. Ranganath Gudimella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Bukur, Thomas, Pablo Riesgo-Ferreiro, Patrick Sorn, et al.. (2023). CoVigator—A Knowledge Base for Navigating SARS-CoV-2 Genomic Variants. Viruses. 15(6). 1391–1391. 2 indexed citations
2.
Schrörs, Barbara, Pablo Riesgo-Ferreiro, Patrick Sorn, et al.. (2021). Large-scale analysis of SARS-CoV-2 spike-glycoprotein mutants demonstrates the need for continuous screening of virus isolates. PLoS ONE. 16(9). e0249254–e0249254. 26 indexed citations
3.
Gudimella, Ranganath, et al.. (2018). Genome-Wide Regulatory Network Mapping of miRNA and Transcription Factors in Banana Roots. Tropical Plant Biology. 11(3-4). 141–153. 6 indexed citations
4.
Jindal, Hassan Mahmood, Cheng Foh Le, Ranganath Gudimella, et al.. (2018). Comparative genomic analysis of ten clinical Streptococcus pneumoniae collected from a Malaysian hospital reveal 31 new unique drug-resistant SNPs using whole genome sequencing. Journal of Biomedical Science. 25(1). 15–15. 4 indexed citations
5.
Yong, Yean K., Mazen M. Jamil Al‐Obaidi, Chandramathi Samudi Raju, et al.. (2018). Identifying protein biomarkers in predicting disease severity of dengue virus infection using immune-related protein microarray. Medicine. 97(5). e9713–e9713. 23 indexed citations
6.
Vincent–Chong, Vui King, Iman Salahshourifar, Arif Anwar, et al.. (2017). Genome wide profiling in oral squamous cell carcinoma identifies a four genetic marker signature of prognostic significance. PLoS ONE. 12(4). e0174865–e0174865. 28 indexed citations
7.
Jindal, Hassan Mahmood, Cheng Foh Le, Ranganath Gudimella, et al.. (2017). Next generation sequencing reveals the antibiotic resistant variants in the genome of Pseudomonas aeruginosa. PLoS ONE. 12(8). e0182524–e0182524. 34 indexed citations
8.
Gudimella, Ranganath, et al.. (2017). Expression of microRNAs during female inflorescence development in African oil palm (Elaeis guineensis Jacq.). Tree Genetics & Genomes. 13(2). 8 indexed citations
9.
Tan, Ai Huey, Ranganath Gudimella, Arif Anwar, et al.. (2016). Augmentation of Autoantibodies by Helicobacter pylori in Parkinson’s Disease Patients May Be Linked to Greater Severity. PLoS ONE. 11(4). e0153725–e0153725. 35 indexed citations
10.
Lau, Yee Ling, et al.. (2016). Deciphering the Draft Genome of Toxoplasma gondii RH Strain. PLoS ONE. 11(6). e0157901–e0157901. 26 indexed citations
11.
Le, Cheng Foh, Ranganath Gudimella, Rozaimi Razali, Rishya Manikam, & Shamala Devi Sekaran. (2016). Transcriptome analysis of Streptococcus pneumoniae treated with the designed antimicrobial peptides, DM3. Scientific Reports. 6(1). 26828–26828. 34 indexed citations
12.
Gudimella, Ranganath, et al.. (2015). Expression patterns of inflorescence- and sex-specific transcripts in male and female inflorescences of African oil palm (Elaeis guineensis). Annals of Applied Biology. 168(2). 274–289. 7 indexed citations
13.
Gudimella, Ranganath, et al.. (2015). Transcripts and MicroRNAs Responding to Salt Stress in Musa acuminata Colla (AAA Group) cv. Berangan Roots. PLoS ONE. 10(5). e0127526–e0127526. 45 indexed citations
14.
Davey, Mark W., et al.. (2013). “A draft Musa balbisiana genome sequence for molecular genetics in polyploid, inter- and intra-specific Musa hybrids”. BMC Genomics. 14(1). 683–683. 144 indexed citations
15.
Law, Yee-Song, et al.. (2012). Molecular Characterization and Comparative Sequence Analysis of Defense-Related Gene, Oryza rufipogon Receptor-Like Protein Kinase 1. International Journal of Molecular Sciences. 13(7). 9343–9362. 5 indexed citations
16.
Arockiaraj, Jesu, Annie J. Gnanam, M. Dhanaraj, et al.. (2012). Crustin, a WAP domain containing antimicrobial peptide from freshwater prawn Macrobrachium rosenbergii: Immune characterization. Fish & Shellfish Immunology. 34(1). 109–118. 80 indexed citations
17.
Vadlapudi, Varahalarao, et al.. (2011). Fungal pathogenesis: strategic prospective: a review.. Electronic journal of environmental, agricultural and food chemistry. 10(4). 2148–2152.
18.
Gudimella, Ranganath, et al.. (2010). Fungome: Annotating proteins implicated in fungal pathogenesis. Bioinformation. 5(5). 202–207. 2 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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