Philip Prathipati

1.4k total citations
34 papers, 998 citations indexed

About

Philip Prathipati is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Philip Prathipati has authored 34 papers receiving a total of 998 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 17 papers in Computational Theory and Mathematics and 9 papers in Organic Chemistry. Recurrent topics in Philip Prathipati's work include Computational Drug Discovery Methods (17 papers), Synthesis and biological activity (4 papers) and Neuroblastoma Research and Treatments (4 papers). Philip Prathipati is often cited by papers focused on Computational Drug Discovery Methods (17 papers), Synthesis and biological activity (4 papers) and Neuroblastoma Research and Treatments (4 papers). Philip Prathipati collaborates with scholars based in India, Japan and United States. Philip Prathipati's co-authors include Shailendra K. Saxena, Anil K. Saxena, Kenji Mizuguchi, Ngai Ling, Anup S. Pathania, Kishore B. Challagundla, Anil K. Saxena, Thomas H. Keller, Yoichi Murakami and Lokesh P. Tripathi and has published in prestigious journals such as Nucleic Acids Research, Tetrahedron and Current Opinion in Structural Biology.

In The Last Decade

Philip Prathipati

34 papers receiving 957 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip Prathipati India 19 538 304 166 112 106 34 998
Xiangrui Jiang China 16 475 0.9× 182 0.6× 242 1.5× 74 0.7× 108 1.0× 79 1.0k
Yan Guan China 16 598 1.1× 166 0.5× 81 0.5× 94 0.8× 111 1.0× 26 1.0k
Calvin Yu‐Chian Chen Taiwan 18 608 1.1× 370 1.2× 137 0.8× 105 0.9× 54 0.5× 72 1.1k
Danfeng Shi China 21 761 1.4× 220 0.7× 185 1.1× 155 1.4× 65 0.6× 51 1.2k
Carmen Cerchia Italy 19 674 1.3× 380 1.3× 198 1.2× 116 1.0× 66 0.6× 48 1.1k
Yih Ho Taiwan 19 478 0.9× 163 0.5× 82 0.5× 144 1.3× 65 0.6× 55 951
Noeris K. Salam Australia 15 724 1.3× 321 1.1× 300 1.8× 173 1.5× 39 0.4× 19 1.2k
Temitope Isaac Adelusi Nigeria 16 427 0.8× 218 0.7× 166 1.0× 74 0.7× 33 0.3× 45 851
Zhenquan Hu China 16 648 1.2× 224 0.7× 256 1.5× 106 0.9× 51 0.5× 33 1.3k
Carmen Di Giovanni Italy 22 858 1.6× 340 1.1× 260 1.6× 233 2.1× 90 0.8× 37 1.3k

Countries citing papers authored by Philip Prathipati

Since Specialization
Citations

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

Fields of papers citing papers by Philip Prathipati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Prathipati

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Prathipati. A scholar is included among the top collaborators of Philip Prathipati 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 Philip Prathipati. Philip Prathipati 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.
Pathania, Anup S., Philip Prathipati, Srinivas Chava, et al.. (2022). miR-15a and miR-15b modulate natural killer and CD8+T-cell activation and anti-tumor immune response by targeting PD-L1 in neuroblastoma. Molecular Therapy — Oncolytics. 25. 308–329. 23 indexed citations
2.
Prathipati, Philip, Anup S. Pathania, Nagendra K. Chaturvedi, et al.. (2022). SAP30, an oncogenic driver of progression, poor survival, and drug resistance in neuroblastoma. Molecular Therapy — Nucleic Acids. 35(2). 101543–101543. 6 indexed citations
3.
Pathania, Anup S., Philip Prathipati, Manoj K. Pandey, et al.. (2021). The emerging role of non-coding RNAs in the epigenetic regulation of pediatric cancers. Seminars in Cancer Biology. 83. 227–241. 21 indexed citations
4.
Gunda, Venugopal, Anup S. Pathania, Srinivas Chava, et al.. (2020). Amino Acids Regulate Cisplatin Insensitivity in Neuroblastoma. Cancers. 12(9). 2576–2576. 18 indexed citations
5.
Pathania, Anup S., Philip Prathipati, Abdul Bakrudeen Ali Ahmed, et al.. (2020). COVID-19 and Cancer Comorbidity: Therapeutic Opportunities and Challenges. Theranostics. 11(2). 731–753. 70 indexed citations
6.
Prachayasittikul, Veda, Philip Prathipati, Aijaz Ahmad Malik, et al.. (2017). Exploring the epigenetic drug discovery landscape. Expert Opinion on Drug Discovery. 12(4). 345–362. 64 indexed citations
7.
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
8.
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
9.
Prathipati, Philip, Chioko Nagao, Shandar Ahmad, & Kenji Mizuguchi. (2016). Improved pose and affinity predictions using different protocols tailored on the basis of data availability. Journal of Computer-Aided Molecular Design. 30(9). 817–828. 5 indexed citations
10.
11.
Prathipati, Philip & Kenji Mizuguchi. (2015). Systems Biology Approaches to a Rational Drug Discovery Paradigm. Current Topics in Medicinal Chemistry. 16(9). 1009–1025. 23 indexed citations
12.
Prathipati, Philip, Ngai Ling, Ujjini H. Manjunatha, & Andreas Bender. (2009). Fishing the Target of Antitubercular Compounds: In Silico Target Deconvolution Model Development and Validation. Journal of Proteome Research. 8(6). 2788–2798. 23 indexed citations
13.
Prathipati, Philip, Anshuman Dixit, & Anil K. Saxena. (2007). Computer-Aided Drug Design: Integration of Structure-Based and Ligand-Based Approaches in Drug Design. Current Computer - Aided Drug Design. 3(2). 133–148. 40 indexed citations
14.
Sharma, Preeti, Sangeeta Singh, Bijoy Kundu, et al.. (2006). α-Amino acid derivatives as proton pump inhibitors and potent anti-ulcer agents. European Journal of Medicinal Chemistry. 42(3). 386–393. 15 indexed citations
15.
Narender, Tadigoppula, Shweta Shweta, Piyush Tiwari, et al.. (2006). Antihyperglycemic and antidyslipidemic agent from Aegle marmelos. Bioorganic & Medicinal Chemistry Letters. 17(6). 1808–1811. 106 indexed citations
16.
Saxena, Shailendra K. & Philip Prathipati. (2006). Collection and preparation of molecular databases for virtual screening. SAR and QSAR in environmental research. 17(4). 371–392. 6 indexed citations
17.
Prathipati, Philip & Anil K. Saxena. (2005). Characterization of β3-adrenergic receptor: determination of pharmacophore and 3D QSAR model for β3 adrenergic receptor agonism. Journal of Computer-Aided Molecular Design. 19(2). 93–110. 24 indexed citations
18.
Sharma, Rajesh, Philip Prathipati, S. C. Chaturvedi, & Shailendra K. Saxena. (2004). Development Of Pharmacophoric Models On 5,6-Diarylimidazo[2.1-b]Thiazole For Selective Inhibition Of Cyclooxygenase-2 Enzyme. Indian Journal of Pharmaceutical Sciences. 66(2). 193–201. 2 indexed citations
19.
Saxena, Anil K., Siya Ram, Mridula Saxena, et al.. (2003). QSAR studies in substituted 1,2,3,4,6,7,12,12a-octa-hydropyrazino[2′,1′:6,1]pyrido[3,4-b]indoles—a potent class of neuroleptics. Bioorganic & Medicinal Chemistry. 11(9). 2085–2090. 8 indexed citations
20.
Babu, M. Arockia, et al.. (2002). Development of 3D-QSAR models for 5-Lipoxygenase antagonists: chalcones. Bioorganic & Medicinal Chemistry. 10(12). 4035–4041. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Xiangrui Jiang Breakdown of academic impact, for papers by Yan Guan Breakdown of academic impact, for papers by Calvin Yu‐Chian Chen Breakdown of academic impact, for papers by Danfeng Shi Breakdown of academic impact, for papers by Carmen Cerchia Breakdown of academic impact, for papers by Yih Ho Breakdown of academic impact, for papers by Noeris K. Salam Breakdown of academic impact, for papers by Temitope Isaac Adelusi Breakdown of academic impact, for papers by Zhenquan Hu Breakdown of academic impact, for papers by Carmen Di Giovanni
Rankless by CCL
2026