Money Gupta

419 total citations
11 papers, 227 citations indexed

About

Money Gupta is a scholar working on Molecular Biology, Infectious Diseases and Pharmacology. According to data from OpenAlex, Money Gupta has authored 11 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Pharmacology. Recurrent topics in Money Gupta's work include Marine Sponges and Natural Products (2 papers), Microbial Natural Products and Biosynthesis (2 papers) and Bacterial Genetics and Biotechnology (2 papers). Money Gupta is often cited by papers focused on Marine Sponges and Natural Products (2 papers), Microbial Natural Products and Biosynthesis (2 papers) and Bacterial Genetics and Biotechnology (2 papers). Money Gupta collaborates with scholars based in India, Australia and Canada. Money Gupta's co-authors include Shradha Khater, Debasisa Mohanty, Chakresh Kumar Jain, Gulshan Wadhwa, Sanjeev Sharma, Narendra Kumar, Priya Gupta, Simone Rizzetto, Fabio Luciani and Jerome Samir and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Biomolecular Structure and Dynamics.

In The Last Decade

Money Gupta

11 papers receiving 225 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Money Gupta India 7 175 117 43 20 19 11 227
David R. Jackson United States 5 269 1.5× 122 1.0× 28 0.7× 26 1.3× 10 0.5× 5 330
Agata Kieliszek Canada 4 185 1.1× 144 1.2× 59 1.4× 26 1.3× 4 0.2× 6 265
Zerlina G. Wuisan Germany 8 72 0.4× 78 0.7× 54 1.3× 11 0.6× 10 0.5× 8 186
C. Leigh Allen United States 9 262 1.5× 175 1.5× 35 0.8× 17 0.8× 11 0.6× 11 340
C. Hatzos-Skintges United States 7 247 1.4× 66 0.6× 24 0.6× 18 0.9× 7 0.4× 8 303
Carsten Volz Germany 10 233 1.3× 162 1.4× 62 1.4× 26 1.3× 8 0.4× 16 336
Yern‐Hyerk Shin South Korea 13 182 1.0× 187 1.6× 92 2.1× 14 0.7× 15 0.8× 24 348
Dongbo Xu China 11 139 0.8× 204 1.7× 139 3.2× 38 1.9× 15 0.8× 29 356
М. А. Хомутов Russia 11 256 1.5× 52 0.4× 12 0.3× 23 1.1× 8 0.4× 39 307
Miroslav Petřı́ček Czechia 11 256 1.5× 176 1.5× 76 1.8× 44 2.2× 16 0.8× 25 367

Countries citing papers authored by Money Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Money Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Money Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Money Gupta. A scholar is included among the top collaborators of Money 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 Money Gupta. Money Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Cai, Curtis, Jerome Samir, Thiruni Adikari, et al.. (2022). Identification of human progenitors of exhausted CD8+ T cells associated with elevated IFN-γ response in early phase of viral infection. Nature Communications. 13(1). 7543–7543. 14 indexed citations
2.
Samir, Jerome, Simone Rizzetto, Money Gupta, & Fabio Luciani. (2020). Exploring and analysing single cell multi-omics data with VDJView. BMC Medical Genomics. 13(1). 29–29. 17 indexed citations
3.
Khater, Shradha, et al.. (2017). RiPPMiner: a bioinformatics resource for deciphering chemical structures of RiPPs based on prediction of cleavage and cross-links. Nucleic Acids Research. 45(W1). W80–W88. 107 indexed citations
4.
Khater, Shradha, et al.. (2017). SBSPKSv2: structure-based sequence analysis of polyketide synthases and non-ribosomal peptide synthetases. Nucleic Acids Research. 45(W1). W72–W79. 50 indexed citations
5.
Gupta, Money, et al.. (2016). Protein-protein interaction and molecular dynamics analysis for identification of novel inhibitors in Burkholderia cepacia GG4. Computational Biology and Chemistry. 65. 80–90. 6 indexed citations
6.
Gupta, Money, et al.. (2016). Identification of Phosphoribosyl-AMP cyclohydrolase, as drug target and its inhibitors inBrucella melitensisbv. 1 16M using metabolic pathway analysis. Journal of Biomolecular Structure and Dynamics. 35(2). 287–299. 4 indexed citations
7.
Jain, Chakresh Kumar, et al.. (2015). The Ubiquitin-Proteasome Pathway an Emerging Anticancer Strategy for Therapeutics: A Patent Analysis. Recent Patents on Anti-Cancer Drug Discovery. 10(2). 201–213. 7 indexed citations
8.
Singh, Ananya, Aman Gupta, Money Gupta, et al.. (2014). Current Status of Anti-Tuberculosis Therapy: A Patent Analysis. Recent Patents on Anti-Infective Drug Discovery. 9(1). 25–40. 4 indexed citations
9.
Jain, Chakresh Kumar, et al.. (2014). Homology modeling and protein engineering of alkane monooxygenase in Burkholderia thailandensis MSMB121: in silico insights. Journal of Molecular Modeling. 20(7). 12 indexed citations
10.
11.
Gupta, Money, Gulshan Wadhwa, Sanjeev Sharma, & Chakresh Kumar Jain. (2013). Homology modeling and validation of SAS2271 transcriptional regulator of AraC family in Staphylococcus aureus. Asian Pacific Journal of Tropical Disease. 3(1). 1–4. 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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