Lokesh P. Tripathi

1.1k total citations
23 papers, 625 citations indexed

About

Lokesh P. Tripathi is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Lokesh P. Tripathi has authored 23 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Oncology. Recurrent topics in Lokesh P. Tripathi's work include Bioinformatics and Genomic Networks (9 papers), Computational Drug Discovery Methods (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Lokesh P. Tripathi is often cited by papers focused on Bioinformatics and Genomic Networks (9 papers), Computational Drug Discovery Methods (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Lokesh P. Tripathi collaborates with scholars based in Japan, India and United States. Lokesh P. Tripathi's co-authors include Ramanathan Sowdhamini, Kenji Mizuguchi, Y. Ann Chen, Yoichi Murakami, Philip Prathipati, Attayeb Mohsen, Yoshiharu Matsuura, Yoshio Mori, Kohji Moriishi and Shandar Ahmad and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Lokesh P. Tripathi

23 papers receiving 618 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lokesh P. Tripathi Japan 15 437 98 78 57 47 23 625
Yu‐Ching Lee Taiwan 18 387 0.9× 40 0.4× 64 0.8× 98 1.7× 57 1.2× 43 805
Macha Nikolski France 17 617 1.4× 125 1.3× 21 0.3× 53 0.9× 109 2.3× 54 913
Yen‐Hua Huang Taiwan 13 285 0.7× 51 0.5× 16 0.2× 24 0.4× 35 0.7× 27 608
Jean-Baptiste Mazarati Rwanda 6 240 0.5× 30 0.3× 168 2.2× 54 0.9× 16 0.3× 10 774
Sheng‐Wei Lin Taiwan 14 426 1.0× 27 0.3× 48 0.6× 129 2.3× 62 1.3× 39 674
Yue‐Dong Gao China 11 223 0.5× 47 0.5× 46 0.6× 59 1.0× 49 1.0× 22 470
Jasna Ćurak Canada 10 484 1.1× 65 0.7× 42 0.5× 52 0.9× 81 1.7× 10 789
G. Renuka Kumar United States 16 394 0.9× 106 1.1× 13 0.2× 67 1.2× 48 1.0× 22 771
C.C. Huang United States 8 593 1.4× 43 0.4× 89 1.1× 44 0.8× 89 1.9× 13 832
Aamir Mehmood China 14 298 0.7× 18 0.2× 108 1.4× 63 1.1× 28 0.6× 40 479

Countries citing papers authored by Lokesh P. Tripathi

Since Specialization
Citations

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

Fields of papers citing papers by Lokesh P. Tripathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lokesh P. Tripathi. 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 Lokesh P. Tripathi. The network helps show where Lokesh P. Tripathi may publish in the future.

Co-authorship network of co-authors of Lokesh P. Tripathi

This figure shows the co-authorship network connecting the top 25 collaborators of Lokesh P. Tripathi. A scholar is included among the top collaborators of Lokesh P. Tripathi 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 Lokesh P. Tripathi. Lokesh P. Tripathi 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.
Tiwari, Prabha & Lokesh P. Tripathi. (2024). Long Non-Coding RNAs, Nuclear Receptors and Their Cross-Talks in Cancer—Implications and Perspectives. Cancers. 16(16). 2920–2920. 1 indexed citations
2.
Tripathi, Lokesh P., et al.. (2022). Host-pathogen protein-nucleic acid interactions: A comprehensive review. Computational and Structural Biotechnology Journal. 20. 4415–4436. 14 indexed citations
3.
Arakawa, Masashi, Keisuke Tabata, Makiko Kobayashi, et al.. (2022). Flavivirus recruits the valosin-containing protein–NPL4 complex to induce stress granule disassembly for efficient viral genome replication. Journal of Biological Chemistry. 298(3). 101597–101597. 16 indexed citations
4.
Tripathi, Lokesh P., et al.. (2021). Network modeling and inference of peroxisome proliferator-activated receptor pathway in high fat diet-linked obesity. Journal of Theoretical Biology. 519. 110647–110647. 6 indexed citations
5.
Mohsen, Attayeb, Lokesh P. Tripathi, & Kenji Mizuguchi. (2021). Deep Learning Prediction of Adverse Drug Reactions in Drug Discovery Using Open TG–GATEs and FAERS Databases. 1. 29 indexed citations
6.
Tripathi, Lokesh P., M Itoh, Yoshito Takeda, et al.. (2020). Integrative Analysis Reveals Common and Unique Roles of Tetraspanins in Fibrosis and Emphysema. Frontiers in Genetics. 11. 585998–585998. 4 indexed citations
7.
Chen, Yi‐An, Lokesh P. Tripathi, & Kenji Mizuguchi. (2019). Data Warehousing with TargetMine for Omics Data Analysis. Methods in molecular biology. 1986. 35–64. 1 indexed citations
8.
Chen, Y. Ann, Lokesh P. Tripathi, Takeshi Fujiwara, et al.. (2019). The TargetMine Data Warehouse: Enhancement and Updates. Frontiers in Genetics. 10. 934–934. 17 indexed citations
9.
Tripathi, Lokesh P., et al.. (2019). CLINE: a web-tool for the comparison of biological dendrogram structures. BMC Bioinformatics. 20(1). 528–528. 1 indexed citations
10.
Ahmad, Shandar, Philip Prathipati, Lokesh P. Tripathi, et al.. (2017). Integrating sequence and gene expression information predicts genome-wide DNA-binding proteins and suggests a cooperative mechanism. Nucleic Acids Research. 46(1). 54–70. 14 indexed citations
11.
Murakami, Yoichi, Lokesh P. Tripathi, Philip Prathipati, & Kenji Mizuguchi. (2017). Network analysis and in silico prediction of protein–protein interactions with applications in drug discovery. Current Opinion in Structural Biology. 44. 134–142. 75 indexed citations
12.
Chen, Y. Ann, Lokesh P. Tripathi, & Kenji Mizuguchi. (2016). An integrative data analysis platform for gene set analysis and knowledge discovery in a data warehouse framework. Database. 2016. baw009–baw009. 22 indexed citations
13.
Chen, Y. Ann, et al.. (2014). Integrated Pathway Clusters with Coherent Biological Themes for Target Prioritisation. PLoS ONE. 9(6). e99030–e99030. 19 indexed citations
14.
Tripathi, Lokesh P., Hiroto Kambara, Yi‐An Chen, et al.. (2013). Understanding the Biological Context of NS5A–Host Interactions in HCV Infection: A Network-Based Approach. Journal of Proteome Research. 12(6). 2537–2551. 25 indexed citations
15.
Tripathi, Lokesh P., Hiroto Kambara, Kohji Moriishi, et al.. (2012). Proteomic Analysis of Hepatitis C Virus (HCV) Core Protein Transfection and Host Regulator PA28γ Knockout in HCV Pathogenesis: A Network-Based Study. Journal of Proteome Research. 11(7). 3664–3679. 10 indexed citations
16.
Chen, Y. Ann, Lokesh P. Tripathi, & Kenji Mizuguchi. (2011). TargetMine, an Integrated Data Warehouse for Candidate Gene Prioritisation and Target Discovery. PLoS ONE. 6(3). e17844–e17844. 88 indexed citations
17.
Tripathi, Lokesh P., Chikako Kataoka, Shuhei Taguwa, et al.. (2010). Network based analysis of hepatitis C virus Core and NS4B protein interactions. Molecular BioSystems. 6(12). 2539–2553. 44 indexed citations
18.
Tripathi, Lokesh P. & Ramanathan Sowdhamini. (2008). Genome-wide survey of prokaryotic serine proteases: Analysis of distribution and domain architectures of five serine protease families in prokaryotes. BMC Genomics. 9(1). 549–549. 56 indexed citations
19.
Shah, Parantu K., Lokesh P. Tripathi, Lars Juhl Jensen, et al.. (2007). Enhanced function annotations for Drosophila serine proteases: A case study for systematic annotation of multi-member gene families. Gene. 407(1-2). 199–215. 28 indexed citations
20.
Tripathi, Lokesh P. & Ramanathan Sowdhamini. (2006). Cross genome comparisons of serine proteases in Arabidopsis and rice. BMC Genomics. 7(1). 200–200. 124 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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