Utkarsh Raj

1.2k citations
51 papers · 867 indexed · h-index 15
Topics
Computational Drug Discovery Methods (15 papers)Bioinformatics and Genomic Networks (7 papers)Epigenetics and DNA Methylation (5 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsFrontiers in Plant Science
Partner nations
IndiaGermanyIsrael

In The Last Decade

Utkarsh Raj

45 papers receiving 841 citations

Peers

Utkarsh Raj
Comparison fields: 5 of 112
  • Molecular Biology 413
  • Computational Theory and Mathematics 201
  • Plant Science 117
  • Organic Chemistry 105
  • Infectious Diseases 96
Replace Vidya Niranjan with:
Vidya Niranjan India
Bilal Shaker South Korea
Devadasan Velmurugan India
Mohd Danishuddin India
Daniel H. Foil United States
A.S. Ethayathulla India
Eugène Megnassan Ivory Coast
Kiran Bharat Lokhande India
Sivakumar Prasanth Kumar India
Ramachandran Vijayan India
Utkarsh Raj relative to Vidya Niranjan India Vidya Niranjan's profile →
Citations per field
00.5×4.8×
Vidya Niranjan · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 10
4 1
5 4
6 1
7 0
8 10
9 14
10 27
11 35
12 7
13 318
14 15
15 71
16 12
17 21
18 32
19 1
20 3

About Utkarsh Raj

Utkarsh Raj is a scholar working on Computational Theory and Mathematics, Health Informatics and Hematology, having authored 51 papers that have together received 867 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Bioinformatics and Genomic Networks (7 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Computational Theory and Mathematics (201 citations), Pharmacology (53 citations) and Molecular Biology (413 citations). Utkarsh Raj has collaborated with scholars based in India, Germany and Israel. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in Plant Science.

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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