Nirupama Gupta

23 papers receiving 720 citations

Peers

Nirupama Gupta
Comparison fields: 5 of 85
  • Molecular Medicine 143
  • Biotechnology 62
  • Endocrine and Autonomic Systems 44
  • Molecular Biology 447
  • Toxicology 21
Replace Małgorzata Drąg‐Zalesińska with:
Małgorzata Drąg‐Zalesińska Poland
Narçın Palavan-Ünsal Türkiye
Scott L. Wehage United States
Ayşegül Varol Germany
Paola Vergara Italy
An Zhu China
Alice Santi Italy
Ji Eun Won South Korea
Alessio Papi Italy
Hongqin Zhuang China
Nirupama Gupta relative to Małgorzata Drąg‐Zalesińska Poland Małgorzata Drąg‐Zalesińska's profile →
Citations per field
00.5×4.8×
Małgorzata Drąg‐Zalesińska · 1×
Citations per year

Countries citing papers authored by Nirupama Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Nirupama Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nirupama Gupta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nirupama Gupta Line = papers co-authored together Nirupama Gupta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002308
2 201084
3 201057
4 200943
5 201541
6 201327
7 201225
8 200624
9 200920
10 201514
11 200113
12 201613
13 200812
14 201610
15 20148
16 20148
17 20167
18 20177
19 20046
20 20045

About Nirupama Gupta

Nirupama Gupta is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Rheumatology, Immunology and Electrical and Electronic Engineering, having authored 25 papers that have together received 739 indexed citations. Recurring topics across this work include Enzyme-mediated dye degradation (4 papers), RNA modifications and cancer (4 papers), Electrochemical sensors and biosensors (3 papers), Renal Diseases and Glomerulopathies (3 papers), RNA and protein synthesis mechanisms (3 papers), Microbial bioremediation and biosurfactants (2 papers), Complement system in diseases (2 papers) and Vasculitis and related conditions (2 papers). The work is most often cited by research in Molecular Medicine (143 citations), Biotechnology (62 citations), Endocrine and Autonomic Systems (44 citations), Molecular Biology (447 citations) and Toxicology (21 citations). Nirupama Gupta has collaborated with scholars based in United States and India. Frequent co-authors include Satya Narayan, Aruna S. Jaiswal, Stephen W. Ragsdale, Edgardo T. Farinas, Paul R. Copeland, Eric L. Carter, Eduardo H. Garin, Ashraf Raza, Cuong Q. Nguyen and Renee Modica. Their work appears in journals such as Journal of Biological Chemistry, Pediatric Rheumatology, Pediatric Nephrology, The FASEB Journal and Journal of Molecular Catalysis B Enzymatic.

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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