Utkarsh Raj

1.2k total citations
51 papers, 867 citations indexed

About

Utkarsh Raj is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Utkarsh Raj has authored 51 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 15 papers in Computational Theory and Mathematics and 7 papers in Oncology. Recurrent topics in Utkarsh Raj's work include Computational Drug Discovery Methods (15 papers), Bioinformatics and Genomic Networks (7 papers) and Epigenetics and DNA Methylation (5 papers). Utkarsh Raj is often cited by papers focused on Computational Drug Discovery Methods (15 papers), Bioinformatics and Genomic Networks (7 papers) and Epigenetics and DNA Methylation (5 papers). Utkarsh Raj collaborates with scholars based in India, Germany and Israel. Utkarsh Raj's co-authors include Pritish Kumar Varadwaj, Imlimaong Aier, Himansu Kumar, Saurabh Gupta, Aman Chandra Kaushik, Tara Chand Yadav, Vikas Pruthi, A. R. Rao, Brijesh Singh Yadav and Shiri Freilich and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in Plant Science.

In The Last Decade

Utkarsh Raj

45 papers receiving 841 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Utkarsh Raj India 15 413 201 117 105 96 51 867
Shopnil Akash Bangladesh 19 469 1.1× 187 0.9× 117 1.0× 165 1.6× 95 1.0× 91 1.2k
Kiran Bharat Lokhande India 16 289 0.7× 191 1.0× 74 0.6× 111 1.1× 94 1.0× 62 653
Ramakrishna Vadde India 19 430 1.0× 191 1.0× 206 1.8× 105 1.0× 173 1.8× 52 1.1k
Vidya Niranjan India 16 320 0.8× 178 0.9× 107 0.9× 143 1.4× 82 0.9× 94 776
Yuan-Ling Xia China 6 683 1.7× 300 1.5× 87 0.7× 171 1.6× 109 1.1× 12 1.2k
Mohd Danishuddin India 17 478 1.2× 366 1.8× 83 0.7× 146 1.4× 80 0.8× 39 1.1k
Arli Aditya Parikesit Indonesia 16 386 0.9× 188 0.9× 126 1.1× 71 0.7× 139 1.4× 143 949
Conrad V. Simoben Germany 16 437 1.1× 233 1.2× 126 1.1× 126 1.2× 48 0.5× 30 769
Umashankar Vetrivel India 22 718 1.7× 164 0.8× 86 0.7× 87 0.8× 93 1.0× 115 1.3k
R.P. Vivek-Ananth India 11 364 0.9× 349 1.7× 136 1.2× 68 0.6× 89 0.9× 17 884

Countries citing papers authored by Utkarsh Raj

Since Specialization
Citations

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

Fields of papers citing papers by Utkarsh Raj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Utkarsh Raj

This figure shows the co-authorship network connecting the top 25 collaborators of Utkarsh Raj. A scholar is included among the top collaborators of Utkarsh Raj 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 Utkarsh Raj. Utkarsh Raj 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
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Chauhan, Pooja, Utkarsh Raj, Shubhda Srivastava, et al.. (2023). New insights into APCVD grown monolayer MoS2 using time-domain terahertz spectroscopy. Scientific Reports. 13(1). 4146–4146. 10 indexed citations
4.
Semwal, Rahul, Imlimaong Aier, Pankaj Tyagi, Utkarsh Raj, & Pritish Kumar Varadwaj. (2023). DeepLBS: A deep Convolutional Neural Network-Based Ligand-Binding Site Prediction Tool. 1–4. 1 indexed citations
5.
Chaudhary, Uma, et al.. (2020). A Lung Transcriptomic Analysis for Exploring Host Response in COVID-19. SHILAP Revista de lepidopterología. 14(suppl 1). 1077–1081. 4 indexed citations
6.
Raj, Utkarsh, et al.. (2020). Hypothetical Proteins as Predecessors of Long Non-coding RNAs. Current Genomics. 21(7). 531–535. 1 indexed citations
7.
Raj, Utkarsh, et al.. (2020). Correction to: Computational Identification of Inhibitors Against DPP-IV for Checking Type-2 Diabetes. Letters in Drug Design & Discovery. 17(2). 226–226.
8.
Raj, Utkarsh, et al.. (2018). Systems Biology: A Powerful Tool for Drug Development. Current Topics in Medicinal Chemistry. 18(20). 1745–1754. 10 indexed citations
9.
Jain, Bhushan, Utkarsh Raj, & Pritish Kumar Varadwaj. (2018). Drug Target Interplay: A Network-based Analysis of Human Diseases and the Drug Targets. Current Topics in Medicinal Chemistry. 18(13). 1053–1061. 14 indexed citations
10.
Raghuwanshi, Navdeep, Tara Chand Yadav, Amit Srivastava, et al.. (2018). Structure-based drug designing and identification of Woodfordia fruticosa inhibitors targeted against heat shock protein (HSP70-1) as suppressor for Imiquimod-induced psoriasis like skin inflammation in mice model. Materials Science and Engineering C. 95. 57–71. 27 indexed citations
11.
Gupta, Saurabh, Brijesh Singh Yadav, Utkarsh Raj, Shiri Freilich, & Pritish Kumar Varadwaj. (2017). Transcriptomic Analysis of Soil Grown T. aestivum cv. Root to Reveal the Changes in Expression of Genes in Response to Multiple Nutrients Deficiency. Frontiers in Plant Science. 8. 1025–1025. 35 indexed citations
12.
Raj, Utkarsh, Imlimaong Aier, Rahul Semwal, & Pritish Kumar Varadwaj. (2017). Identification of novel dysregulated key genes in Breast cancer through high throughput ChIP-Seq data analysis. Scientific Reports. 7(1). 3229–3229. 7 indexed citations
13.
Aier, Imlimaong, Pritish Kumar Varadwaj, & Utkarsh Raj. (2016). Structural insights into conformational stability of both wild-type and mutant EZH2 receptor. Scientific Reports. 6(1). 34984–34984. 318 indexed citations
14.
Gupta, Saurabh, Yashbir Singh, Himansu Kumar, et al.. (2016). Identification of Novel Abiotic Stress Proteins in Triticum aestivum Through Functional Annotation of Hypothetical Proteins. Interdisciplinary Sciences Computational Life Sciences. 10(1). 205–220. 15 indexed citations
15.
Raj, Utkarsh & Pritish Kumar Varadwaj. (2015). Flavonoids as Multi-target Inhibitors for Proteins Associated with Ebola Virus: In Silico Discovery Using Virtual Screening and Molecular Docking Studies. Interdisciplinary Sciences Computational Life Sciences. 8(2). 132–141. 71 indexed citations
16.
Kumar, Himansu, Utkarsh Raj, Swati Srivastava, Saurabh Gupta, & Pritish Kumar Varadwaj. (2015). Identification of Dual Natural Inhibitors for Chronic Myeloid Leukemia by Virtual Screening, Molecular Dynamics Simulation and ADMET Analysis. Interdisciplinary Sciences Computational Life Sciences. 8(3). 241–252. 12 indexed citations
17.
Raj, Utkarsh, Himansu Kumar, Saurabh Gupta, & Pritish Kumar Varadwaj. (2015). Novel DOT1L ReceptorNatural Inhibitors Involved in Mixed Lineage Leukemia: a Virtual Screening, Molecular Docking and Dynamics Simulation Study. Asian Pacific Journal of Cancer Prevention. 16(9). 3817–3825. 21 indexed citations
18.
Gupta, Saurabh, Alka Jadaun, Himansu Kumar, et al.. (2015). Exploration of new drug-like inhibitors for serine/threonine protein phosphatase 5 ofPlasmodium falciparum: a docking and simulation study. Journal of Biomolecular Structure and Dynamics. 33(11). 2421–2441. 32 indexed citations
19.
Kumar, Himansu, et al.. (2015). Parameters Involved in Autophosphorylation in Chronic Myeloid Leukemia: a Systems Biology Approach. Asian Pacific Journal of Cancer Prevention. 16(13). 5273–5278. 1 indexed citations
20.
Sahi, Shakti, et al.. (2014). Modelling of Human Leucyl Aminopeptidases for in silico Off Target Binding Analysis of Potential Plasmodium falciparum Leucine Aminopeptidase (PfA-M17) Specific Inhibitors. Recent Patents on Endocrine Metabolic & Immune Drug Discovery. 8(3). 191–201. 3 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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