Prashanth Suravajhala

3.0k total citations
113 papers, 1.6k citations indexed

About

Prashanth Suravajhala is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Prashanth Suravajhala has authored 113 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 26 papers in Plant Science and 19 papers in Cancer Research. Recurrent topics in Prashanth Suravajhala's work include Cancer-related molecular mechanisms research (14 papers), Genomics and Phylogenetic Studies (13 papers) and Machine Learning in Bioinformatics (12 papers). Prashanth Suravajhala is often cited by papers focused on Cancer-related molecular mechanisms research (14 papers), Genomics and Phylogenetic Studies (13 papers) and Machine Learning in Bioinformatics (12 papers). Prashanth Suravajhala collaborates with scholars based in India, United States and Denmark. Prashanth Suravajhala's co-authors include Gyaneshwer Chaubey, Jake Y. Chen, Keshav K. Singh, P. B. Kavi Kishor, Haja N. Kadarmideen, Lisette J. A. Kogelman, Mohammad Ali Balafar, Balaji Meriga, Ramesh Katam and Nese Sreenivasulu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Prashanth Suravajhala

101 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prashanth Suravajhala India 21 712 580 172 145 136 113 1.6k
David Allaway United Kingdom 28 803 1.1× 726 1.3× 69 0.4× 91 0.6× 168 1.2× 63 2.2k
Ling Guo China 31 957 1.3× 249 0.4× 177 1.0× 40 0.3× 195 1.4× 80 2.5k
Jing Sun China 30 1.3k 1.8× 785 1.4× 108 0.6× 191 1.3× 226 1.7× 127 2.5k
Grigoris D. Amoutzias Greece 28 1.2k 1.8× 419 0.7× 226 1.3× 84 0.6× 191 1.4× 79 2.3k
Wenyi Wang China 27 1.4k 2.0× 484 0.8× 214 1.2× 82 0.6× 118 0.9× 83 2.7k
Yuting Chen Taiwan 27 1.4k 1.9× 840 1.4× 110 0.6× 127 0.9× 258 1.9× 128 2.5k
Sarah Albogami Saudi Arabia 23 520 0.7× 203 0.3× 181 1.1× 63 0.4× 80 0.6× 97 1.5k
Qianwen Wang China 18 620 0.9× 437 0.8× 61 0.4× 98 0.7× 85 0.6× 64 1.5k
Tingting Li China 25 778 1.1× 700 1.2× 40 0.2× 115 0.8× 108 0.8× 82 1.6k

Countries citing papers authored by Prashanth Suravajhala

Since Specialization
Citations

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

Fields of papers citing papers by Prashanth Suravajhala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashanth Suravajhala

This figure shows the co-authorship network connecting the top 25 collaborators of Prashanth Suravajhala. A scholar is included among the top collaborators of Prashanth Suravajhala 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 Prashanth Suravajhala. Prashanth Suravajhala 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.
Shukla, Nidhi, Sugunakar Vuree, Abdul S. Ansari, et al.. (2025). Characterization of lncRNA-protein interactions associated with Prostate cancer and Androgen receptors by molecular docking simulations. Biochemistry and Biophysics Reports. 42. 101959–101959.
2.
Rao, R. Shyama Prasad, et al.. (2025). Azole resistance: patterns of amino acid substitutions in Candida sterol 14α-demethylase. Antonie van Leeuwenhoek. 118(5). 68–68.
4.
Suravajhala, Prashanth, et al.. (2024). Annotation-Based Study on Hypothetical Proteins in Bacteria Using Classification Features. Current Proteomics. 21(3). 174–186. 1 indexed citations
5.
Venugopal, Parvathy, et al.. (2024). Matrix metalloproteinases: Master regulators of tissue morphogenesis. Gene. 933. 148990–148990. 9 indexed citations
6.
Srivastava, Anshika, Rahul Mishra, Niraj Rai, et al.. (2023). Genetic Diversity and Spatiotemporal Distribution of SARS-CoV-2 Alpha Variant in India. SHILAP Revista de lepidopterología. 3(4). 472–479.
7.
Rao, R. Shyama Prasad, Sudeep D. Ghate, Rajesh P. Shastry, et al.. (2022). Prevalence and heterogeneity of antibiotic resistance genes in Orientia tsutsugamushi and other rickettsial genomes. Microbial Pathogenesis. 174. 105953–105953. 6 indexed citations
8.
Sharma, Akanksha, Praveen Mathur, Sudhir Mehta, et al.. (2022). Inferring bona fide Differentially Expressed Genes and Their Variants Associated with Vitamin K Deficiency Using a Systems Genetics Approach. Genes. 13(11). 2078–2078. 2 indexed citations
10.
Ganie, Showkat Ahmad, Shabir Hussain Wani, G. Rajasheker, et al.. (2022). Nuclear Factor-Y (NF-Y): Developmental and Stress-Responsive Roles in the Plant Lineage. Journal of Plant Growth Regulation. 42(5). 2711–2735. 21 indexed citations
11.
Shukla, Nidhi, Jalaja Naravula, Praveen Mathur, et al.. (2021). Vitamin K in human health and metabolism: A nutri-genomics review. Trends in Food Science & Technology. 119. 412–427. 10 indexed citations
12.
Suravajhala, Prashanth, Chandana Basu Mallick, Rakesh Tamang, et al.. (2021). COVID-19: Impact on linguistic and genetic isolates of India. Genes and Immunity. 23(1). 47–50. 2 indexed citations
13.
Bernardino, Rui, Ricardo Leão, Rui Henrique, et al.. (2021). Extracellular Vesicle Proteome in Prostate Cancer: A Comparative Analysis of Mass Spectrometry Studies. International Journal of Molecular Sciences. 22(24). 13605–13605. 10 indexed citations
14.
Suravajhala, Renuka, et al.. (2020). Deciphering LncRNA–protein interactions using docking complexes. Journal of Biomolecular Structure and Dynamics. 40(8). 3769–3776. 7 indexed citations
15.
Kumar, Anuj, et al.. (2019). A model to predict the function of hypothetical proteins through a nine-point classification scoring schema. BMC Bioinformatics. 20(1). 14–14. 32 indexed citations
16.
Mathur, Praveen, et al.. (2018). Whole exome sequencing reveals rare variants linked to congenital pouch colon. Scientific Reports. 8(1). 6646–6646. 12 indexed citations
17.
Poondla, Naresh, et al.. (2018). Systems Challenges of Hepatic Carcinomas: A Review. Journal of Clinical and Experimental Hepatology. 9(2). 233–244. 7 indexed citations
18.
Gupta, Sonal, et al.. (2018). Lnc-EPB41-Protein Interactions Associated with Congenital Pouch Colon. Biomolecules. 8(3). 95–95. 5 indexed citations
19.
Suravajhala, Prashanth & Alfredo Benso. (2017). Prioritizing single-nucleotide polymorphisms and variants associated with clinical mastitis. SHILAP Revista de lepidopterología. Volume 10. 57–64. 7 indexed citations
20.
Katam, Ramesh, Katsumi Sakata, Prashanth Suravajhala, et al.. (2016). Comparative leaf proteomics of drought-tolerant and -susceptible peanut in response to water stress. Journal of Proteomics. 143. 209–226. 41 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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