Krishna Kant Gupta

460 citations
24 papers · 184 indexed · h-index 6
Topics
Computational Drug Discovery Methods (6 papers)Enzyme Catalysis and Immobilization (3 papers)Machine Learning in Bioinformatics (2 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsBiotechnology Letters
Partner nations
IndiaNepalUnited States

In The Last Decade

Krishna Kant Gupta

22 papers receiving 181 citations

Peers

Krishna Kant Gupta
Comparison fields: 5 of 76
  • Molecular Biology 78
  • Infectious Diseases 41
  • Neurology 22
  • Organic Chemistry 16
  • Plant Science 15
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Andrea Dugour Argentina
Neha Shah United States
Leonardo Bonilla-Ramírez Colombia
Weiying Liu China
Raji E. Nair United States
Zubair Shanib Bhat India
Fei Tan China
Mohd Imran Khan India
Xiaoqi Chen China
Ran Furman United States
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Citations per field
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Citations per year

Countries citing papers authored by Krishna Kant Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Krishna Kant Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krishna Kant Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Krishna Kant Gupta. A scholar is included among the top collaborators of Krishna Kant 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 Krishna Kant Gupta. Krishna Kant 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
1 1
2 3
3 1
4 1
5 1
6 11
7 4
8 3
9 8
10 5
11 1
12 78
13 20
14 4
15 3
16 5
17 5
18 4
19 2
20 16

About Krishna Kant Gupta

Krishna Kant Gupta is a scholar working on Biological Psychiatry, Computational Theory and Mathematics and Biotechnology, having authored 24 papers that have together received 184 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Enzyme Catalysis and Immobilization (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Infectious Diseases (41 citations), Biological Psychiatry (5 citations) and Neurology (22 citations). Krishna Kant Gupta has collaborated with scholars based in India, Nepal and United States. Frequent co-authors include Sanjeev Kumar Singh, Stefan Goldschmidt, R. Krishna, Ramya Devi Durai, Adline Princy Solomon, Shanker Jha, Manikandan Jayaraman, Ankit Gupta, Vinod Kumar Nathan and Suchitra Kumari. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biotechnology Letters.

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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