Prashant K. Khade

612 total citations
18 papers, 435 citations indexed

About

Prashant K. Khade is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Prashant K. Khade has authored 18 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Materials Chemistry and 3 papers in Computational Theory and Mathematics. Recurrent topics in Prashant K. Khade's work include RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (6 papers) and Photochromic and Fluorescence Chemistry (5 papers). Prashant K. Khade is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (6 papers) and Photochromic and Fluorescence Chemistry (5 papers). Prashant K. Khade collaborates with scholars based in United States, India and Israel. Prashant K. Khade's co-authors include Simpson Joseph, Ajay Singh, Xinying Shi, Paraskevi Giannakakou, Olivier Elemento, Martin Stogniew, Kaitlyn Gayvert, Neel S. Madhukar, Joshua E. Allen and Linda Huang and has published in prestigious journals such as Nature Communications, Journal of Molecular Biology and Biochemistry.

In The Last Decade

Prashant K. Khade

17 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prashant K. Khade United States 10 261 94 79 59 40 18 435
Samuel DeLuca United States 6 458 1.8× 117 1.2× 76 1.0× 32 0.5× 47 1.2× 8 632
Elke Michalsky Germany 12 384 1.5× 104 1.1× 78 1.0× 25 0.4× 60 1.5× 18 524
Susanne Eyrisch Germany 8 418 1.6× 66 0.7× 123 1.6× 40 0.7× 15 0.4× 10 507
Jukka V. Lehtonen Finland 9 353 1.4× 130 1.4× 61 0.8× 49 0.8× 20 0.5× 15 483
Elizabeth A. Blackburn United Kingdom 15 433 1.7× 41 0.4× 39 0.5× 28 0.5× 52 1.3× 33 566
Kuan Pern Tan Singapore 7 307 1.2× 66 0.7× 65 0.8× 30 0.5× 11 0.3× 8 402
Karine Bastard France 10 265 1.0× 97 1.0× 66 0.8× 41 0.7× 50 1.3× 19 369
Efrat Ben‐Zeev Israel 13 325 1.2× 51 0.5× 87 1.1× 35 0.6× 17 0.4× 24 439
Marcelino Arciniega Germany 13 343 1.3× 40 0.4× 84 1.1× 71 1.2× 30 0.8× 19 512
Beáta Flachner Hungary 14 298 1.1× 135 1.4× 69 0.9× 28 0.5× 15 0.4× 25 379

Countries citing papers authored by Prashant K. Khade

Since Specialization
Citations

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

Fields of papers citing papers by Prashant K. Khade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prashant K. Khade. 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 Prashant K. Khade. The network helps show where Prashant K. Khade may publish in the future.

Co-authorship network of co-authors of Prashant K. Khade

This figure shows the co-authorship network connecting the top 25 collaborators of Prashant K. Khade. A scholar is included among the top collaborators of Prashant K. Khade 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 Prashant K. Khade. Prashant K. Khade 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.
Khade, Prashant K., et al.. (2021). IMPROVING POWER FACTORS BY USING LANDSMAN CONVERTER IN PMBLDC MOTOR. 1(4). 1–5. 1 indexed citations
2.
Khade, Prashant K., et al.. (2021). Efficacy of Ghati Yantra Raktamokshana (Bloodletting with Modified Cupping) in Pain management of Ghridhrasi (Sciatica): A systematic review. International Journal of Ayurvedic Medicine. 12(4). 961–966.
3.
Madhukar, Neel S., Prashant K. Khade, Linda Huang, et al.. (2019). A Bayesian machine learning approach for drug target identification using diverse data types. Nature Communications. 10(1). 161 indexed citations
4.
Khade, Prashant K. & Paraskevi Giannakakou. (2016). Abstract 2896: 4E-BP1 hyper-phosphorylation senses microtubule damage and plays a critical role in taxane antitumor activity. Cancer Research. 76(14_Supplement). 2896–2896. 2 indexed citations
5.
Madhukar, Neel S., et al.. (2016). A big-data method to predict the targets of small molecules and accelerate drug discovery. European Journal of Cancer. 69. S45–S45. 1 indexed citations
6.
Madhukar, Neel S., et al.. (2015). Abstract B162: Small molecule target prediction and identification of novel anti-cancer compounds using a data-driven bayesian approach. Molecular Cancer Therapeutics. 14(12_Supplement_2). B162–B162. 1 indexed citations
7.
Khade, Prashant K., Xinying Shi, & Simpson Joseph. (2013). Steric Complementarity in the Decoding Center Is Important for tRNA Selection by the Ribosome. Journal of Molecular Biology. 425(20). 3778–3789. 25 indexed citations
8.
Sahu, Bhubanananda, Prashant K. Khade, & Simpson Joseph. (2013). Highly Conserved Base A55 of 16S Ribosomal RNA Is Important for the Elongation Cycle of Protein Synthesis. Biochemistry. 52(38). 6695–6701. 4 indexed citations
9.
Shi, Xinying, Prashant K. Khade, Karissa Y. Sanbonmatsu, & Simpson Joseph. (2012). Functional Role of the Sarcin–Ricin Loop of the 23S rRNA in the Elongation Cycle of Protein Synthesis. Journal of Molecular Biology. 419(3-4). 125–138. 68 indexed citations
10.
Sahu, Bhubanananda, Prashant K. Khade, & Simpson Joseph. (2012). Functional Replacement of Two Highly Conserved Tetraloops in the Bacterial Ribosome. Biochemistry. 51(38). 7618–7626. 10 indexed citations
11.
Khade, Prashant K. & Simpson Joseph. (2011). Messenger RNA interactions in the decoding center control the rate of translocation. Nature Structural & Molecular Biology. 18(11). 1300–1302. 38 indexed citations
12.
Singh, Ajay & Prashant K. Khade. (2011). 7-Methoxy-3-nitro-2-naphthalenemethanol—a new phototrigger for caging applications. Tetrahedron Letters. 52(38). 4899–4902. 7 indexed citations
13.
Hetrick, Byron, et al.. (2010). Polyamines Accelerate Codon Recognition by Transfer RNAs on the Ribosome. Biochemistry. 49(33). 7179–7189. 17 indexed citations
14.
Khade, Prashant K. & Simpson Joseph. (2009). Functional interactions by transfer RNAs in the ribosome. FEBS Letters. 584(2). 420–426. 18 indexed citations
15.
Khade, Prashant K. & Ajay Singh. (2007). A new caging phototrigger based on a 2-acetonaphthyl chromophore. Tetrahedron Letters. 48(39). 6920–6923. 5 indexed citations
16.
Singh, Ajay & Prashant K. Khade. (2005). 3-Nitro-2-naphthalenemethanol: a photocleavable protecting group for carboxylic acids. Tetrahedron. 61(42). 10007–10012. 24 indexed citations
17.
Singh, Ajay & Prashant K. Khade. (2005). Anthracene-9-methanol—a novel fluorescent phototrigger for biomolecular caging. Tetrahedron Letters. 46(33). 5563–5566. 38 indexed citations
18.
Singh, Ajay & Prashant K. Khade. (2002). Synthesis and Photochemical Properties of Nitro-Naphthyl Chromophore and the Corresponding Immunoglobulin Bioconjugate. Bioconjugate Chemistry. 13(6). 1286–1291. 15 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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