Sravan Kumar Miryala

710 total citations
18 papers, 537 citations indexed

About

Sravan Kumar Miryala is a scholar working on Molecular Biology, Infectious Diseases and Computational Theory and Mathematics. According to data from OpenAlex, Sravan Kumar Miryala has authored 18 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Infectious Diseases and 7 papers in Computational Theory and Mathematics. Recurrent topics in Sravan Kumar Miryala's work include Computational Drug Discovery Methods (7 papers), Tuberculosis Research and Epidemiology (6 papers) and Microbial Natural Products and Biosynthesis (3 papers). Sravan Kumar Miryala is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Tuberculosis Research and Epidemiology (6 papers) and Microbial Natural Products and Biosynthesis (3 papers). Sravan Kumar Miryala collaborates with scholars based in India and United States. Sravan Kumar Miryala's co-authors include Sudha Ramaiah, Anand Anbarasu, Reetika Debroy, Aniket Naha, Saravanan Natarajan, Soumya Basu, Sreenivasulu Kurukuti, Yusuf Akhter, Sailu Yellaboina and Rachel A. Katzenellenbogen and has published in prestigious journals such as Scientific Reports, Gene and Journal of Cellular Physiology.

In The Last Decade

Sravan Kumar Miryala

18 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sravan Kumar Miryala India 14 348 118 95 91 56 18 537
Lucie Gibold France 11 637 1.8× 82 0.7× 177 1.9× 135 1.5× 114 2.0× 16 920
Sharmila Anishetty India 13 465 1.3× 39 0.3× 18 0.2× 109 1.2× 65 1.2× 33 635
Gareth A. Prosser United Kingdom 13 347 1.0× 34 0.3× 65 0.7× 257 2.8× 63 1.1× 17 578
Amer H. Asseri Saudi Arabia 12 193 0.6× 45 0.4× 24 0.3× 94 1.0× 14 0.3× 34 441
Daniel Andrew Aiello United States 10 253 0.7× 18 0.2× 106 1.1× 52 0.6× 90 1.6× 13 499
Lalitha Guruprasad India 14 263 0.8× 116 1.0× 18 0.2× 233 2.6× 29 0.5× 43 624
Ningyu Zhu China 15 237 0.7× 21 0.2× 31 0.3× 74 0.8× 57 1.0× 39 554
Sundeep Chaitanya Vedithi United Kingdom 12 215 0.6× 68 0.6× 20 0.2× 206 2.3× 27 0.5× 29 460
Magali Jaillard France 10 292 0.8× 17 0.1× 78 0.8× 59 0.6× 57 1.0× 14 456

Countries citing papers authored by Sravan Kumar Miryala

Since Specialization
Citations

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

Fields of papers citing papers by Sravan Kumar Miryala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sravan Kumar Miryala

This figure shows the co-authorship network connecting the top 25 collaborators of Sravan Kumar Miryala. A scholar is included among the top collaborators of Sravan Kumar Miryala 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 Sravan Kumar Miryala. Sravan Kumar Miryala 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.
Miryala, Sravan Kumar, et al.. (2023). Systems biology approach to understand the interplay between Bacillus anthracis and human host genes that leads to CVDs. Microbial Pathogenesis. 176. 106019–106019. 2 indexed citations
2.
Chintala, Sreenivasulu, et al.. (2023). NFX1‐123: A potential therapeutic target in cervical cancer. Journal of Medical Virology. 95(6). e28856–e28856. 3 indexed citations
3.
Miryala, Sravan Kumar, et al.. (2022). FN1 encoding fibronectin as a pivotal signaling gene for therapeutic intervention against pancreatic cancer. Molecular Genetics and Genomics. 297(6). 1565–1580. 22 indexed citations
4.
Miryala, Sravan Kumar, Anand Anbarasu, & Sudha Ramaiah. (2022). Organ-specific host differential gene expression analysis in systemic candidiasis: A systems biology approach. Microbial Pathogenesis. 169. 105677–105677. 6 indexed citations
5.
6.
Miryala, Sravan Kumar, Anand Anbarasu, & Sudha Ramaiah. (2021). Gene interaction network to unravel the role of gut bacterial species in cardiovascular diseases: E. coli O157:H7 host-bacterial interaction study. Computers in Biology and Medicine. 133. 104417–104417. 16 indexed citations
7.
Miryala, Sravan Kumar & Sudha Ramaiah. (2021). Cellular and molecular level host-pathogen interactions in Francisella tularensis: A microbial gene network study. Computational Biology and Chemistry. 96. 107601–107601. 10 indexed citations
8.
9.
Miryala, Sravan Kumar, Soumya Basu, Aniket Naha, et al.. (2021). Identification of bioactive natural compounds as efficient inhibitors against Mycobacterium tuberculosis protein-targets: A molecular docking and molecular dynamics simulation study. Journal of Molecular Liquids. 341. 117340–117340. 45 indexed citations
10.
Miryala, Sravan Kumar, Anand Anbarasu, & Sudha Ramaiah. (2020). Role of SHV-11, a Class A β-Lactamase, Gene in Multidrug Resistance Among Klebsiella pneumoniae Strains and Understanding Its Mechanism by Gene Network Analysis. Microbial Drug Resistance. 26(8). 900–908. 29 indexed citations
11.
Naha, Aniket, Sravan Kumar Miryala, Reetika Debroy, Sudha Ramaiah, & Anand Anbarasu. (2020). Elucidating the multi-drug resistance mechanism of Enterococcus faecalis V583: A gene interaction network analysis. Gene. 748. 144704–144704. 39 indexed citations
12.
Miryala, Sravan Kumar, Anand Anbarasu, & Sudha Ramaiah. (2020). Gene interaction network approach to elucidate the multidrug resistance mechanisms in the pathogenic bacterial strain Proteus mirabilis. Journal of Cellular Physiology. 236(1). 468–479. 31 indexed citations
13.
Debroy, Reetika, Sravan Kumar Miryala, Aniket Naha, Anand Anbarasu, & Sudha Ramaiah. (2020). Gene interaction network studies to decipher the multi-drug resistance mechanism in Salmonella enterica serovar Typhi CT18 reveal potential drug targets. Microbial Pathogenesis. 142. 104096–104096. 49 indexed citations
14.
Miryala, Sravan Kumar, Anand Anbarasu, & Sudha Ramaiah. (2019). Impact of bedaquiline and capreomycin on the gene expression patterns of multidrug‐resistant Mycobacterium tuberculosis H37Rv strain and understanding the molecular mechanism of antibiotic resistance. Journal of Cellular Biochemistry. 120(9). 14499–14509. 32 indexed citations
15.
Miryala, Sravan Kumar, Anand Anbarasu, & Sudha Ramaiah. (2019). Systems biology studies in Pseudomonas aeruginosa PA01 to understand their role in biofilm formation and multidrug efflux pumps. Microbial Pathogenesis. 136. 103668–103668. 38 indexed citations
16.
Miryala, Sravan Kumar, et al.. (2018). System-wide coordinates of higher order functions in host-pathogen environment upon Mycobacterium tuberculosis infection. Scientific Reports. 8(1). 5079–5079. 14 indexed citations
17.
Miryala, Sravan Kumar & Sudha Ramaiah. (2018). Exploring the multi-drug resistance in Escherichia coli O157:H7 by gene interaction network: A systems biology approach. Genomics. 111(4). 958–965. 53 indexed citations
18.
Miryala, Sravan Kumar, Anand Anbarasu, & Sudha Ramaiah. (2017). Discerning molecular interactions: A comprehensive review on biomolecular interaction databases and network analysis tools. Gene. 642. 84–94. 109 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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