Manoj Kumar Gupta

534 citations
25 papers · 356 indexed · 1 hit paper · h-index 7
Topics
Computational Drug Discovery Methods (4 papers)Machine Learning in Bioinformatics (3 papers)Bioinformatics and Genomic Networks (3 papers)
Partner nations
IndiaGermanyTürkiye

In The Last Decade

Manoj Kumar Gupta

22 papers receiving 346 citations

Hit Papers

In-silico approaches to detect inhibitors of the human se...2020202620222024202050100150200

Peers

Manoj Kumar Gupta
Comparison fields: 5 of 85
  • Computational Theory and Mathematics 149
  • Infectious Diseases 138
  • Molecular Biology 101
  • Pharmacology 44
  • Plant Science 39
Replace Meenakshi B. Tellis with:
Meenakshi B. Tellis India
Gayatri Gouda India
Ravindra Donde India
Diwakar Kumar India
Sneha R. Sagar India
Ekampreet Singh India
Hemlata Pundir India
Chia‐Shin Yang Taiwan
Ammar D. Elmezayen Türkiye
Hao Liang China
Manoj Kumar Gupta relative to Meenakshi B. Tellis India Meenakshi B. Tellis's profile →
Citations per field
00.5×1.5×
Meenakshi B. Tellis · 1×
Citations per year

Countries citing papers authored by Manoj Kumar Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Manoj Kumar Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manoj Kumar Gupta. 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 Manoj Kumar Gupta. The network helps show where Manoj Kumar Gupta may publish in the future.

Co-authorship network of co-authors of Manoj Kumar Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Manoj Kumar Gupta. A scholar is included among the top collaborators of Manoj Kumar Gupta 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 Manoj Kumar Gupta. Manoj Kumar Gupta 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
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11 34
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15 23
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19
Influence of temperatures on Life Table of Brevicoryne brassicae Linn.
1
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Effect of milk and sugar on physico-chemical qualities of rabri.
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About Manoj Kumar Gupta

Manoj Kumar Gupta is a scholar working on Aging, Pharmacology and Nutrition and Dietetics, having authored 25 papers that have together received 356 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Machine Learning in Bioinformatics (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Computational Theory and Mathematics (149 citations), Infectious Diseases (138 citations) and Pharmacology (44 citations). Manoj Kumar Gupta has collaborated with scholars based in India, Germany and Türkiye. Frequent co-authors include Ramakrishna Vadde, Lambodar Behera, Ravindra Donde, Gayatri Gouda, Vemula Sarojamma, Ganji Purnachandra Nagaraju, Vinay Kumar Sehgal, Jitendra Kumar, Trilochan Mohapatra and Ranjay K. Singh. Their work appears in journals such as Blood, Journal of Experimental Botany and Gene.

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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