Shagun Gupta

641 total citations
21 papers, 264 citations indexed

About

Shagun Gupta is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Computer Networks and Communications. According to data from OpenAlex, Shagun Gupta has authored 21 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Pediatrics, Perinatology and Child Health and 3 papers in Computer Networks and Communications. Recurrent topics in Shagun Gupta's work include Bioinformatics and Genomic Networks (4 papers), Advanced Proteomics Techniques and Applications (3 papers) and Birth, Development, and Health (2 papers). Shagun Gupta is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Advanced Proteomics Techniques and Applications (3 papers) and Birth, Development, and Health (2 papers). Shagun Gupta collaborates with scholars based in United States, India and Saudi Arabia. Shagun Gupta's co-authors include Haiyuan Yu, Kumar Yugandhar, Marcus B. Smolka, Vítor M. Faça, Ethan J. Sanford, Michael C. Lanz, J. Christopher Fromme, Alexander Dobin, Zhonghan Li and Victor Nizet and has published in prestigious journals such as Nature Communications, The EMBO Journal and Nature Methods.

In The Last Decade

Shagun Gupta

21 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shagun Gupta United States 6 190 65 34 31 23 21 264
Charles-Hugues Lardeau Austria 8 199 1.0× 34 0.5× 19 0.6× 48 1.5× 46 2.0× 9 344
Ruchi Chauhan India 8 140 0.7× 38 0.6× 42 1.2× 14 0.5× 20 0.9× 20 249
Angelo Limeta Sweden 5 323 1.7× 49 0.8× 19 0.6× 25 0.8× 37 1.6× 9 410
Ming-Jie Huang China 11 206 1.1× 87 1.3× 33 1.0× 40 1.3× 23 1.0× 18 360
Keith M. Goldstein United States 10 154 0.8× 27 0.4× 14 0.4× 26 0.8× 28 1.2× 14 308
Ivana Ihnatová Czechia 9 187 1.0× 29 0.4× 29 0.9× 8 0.3× 28 1.2× 17 274
Junichi Taira Japan 12 210 1.1× 33 0.5× 69 2.0× 29 0.9× 32 1.4× 40 360
Shinyeong Ju South Korea 10 262 1.4× 33 0.5× 24 0.7× 24 0.8× 28 1.2× 29 374
Xi Tan Canada 7 162 0.9× 143 2.2× 15 0.4× 23 0.7× 33 1.4× 8 331
Reshu Saxena India 9 186 1.0× 65 1.0× 10 0.3× 35 1.1× 35 1.5× 16 395

Countries citing papers authored by Shagun Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Shagun Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shagun Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Shagun Gupta. A scholar is included among the top collaborators of Shagun 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 Shagun Gupta. Shagun 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
1.
Zhang, Yingying, Alden King-Yung Leung, Le Li, et al.. (2025). A multiscale functional map of somatic mutations in cancer integrating protein structure and network topology. Nature Communications. 16(1). 975–975. 2 indexed citations
2.
Gupta, Shagun, et al.. (2024). Drones: Categories, Programs, and Technological Challenges. 1369–1374. 1 indexed citations
3.
Wierbowski, Shayne D., Siqi Liang, Yuan Liu, et al.. (2021). A 3D structural SARS-CoV-2–human interactome to explore genetic and drug perturbations. Nature Methods. 18(12). 1477–1488. 19 indexed citations
4.
Bakshi, Nitin, et al.. (2021). Reducing Judicial Delay in Resource-Constrained Settings: A Data-Driven Queueing Approach. SSRN Electronic Journal. 1 indexed citations
5.
Lanz, Michael C., Kumar Yugandhar, Shagun Gupta, et al.. (2021). In‐depth and 3‐dimensional exploration of the budding yeast phosphoproteome. EMBO Reports. 22(2). e51121–e51121. 88 indexed citations
6.
Gupta, Shagun, et al.. (2020). Design the Connection Creation Bluetooth Techniques using Packet Switching. International Journal of Engineering and Advanced Technology. 9(3). 2851–2856. 1 indexed citations
7.
Faça, Vítor M., Ethan J. Sanford, Shagun Gupta, et al.. (2020). Maximized quantitative phosphoproteomics allows high confidence dissection of the DNA damage signaling network. Scientific Reports. 10(1). 18056–18056. 12 indexed citations
8.
Zhang, Qiong, Ti‐Chun Chao, Veena S. Patil, et al.. (2019). The long noncoding RNA ROCKI regulates inflammatory gene expression. The EMBO Journal. 38(8). 73 indexed citations
9.
Chauhan, Neha, et al.. (2019). Screening antibacterial efficacy and anticancer studies of A. vasica leaf crude extracts for formulation of potential herbal drug. Journal of Pharmacognosy and Phytochemistry. 8(1). 428–434. 3 indexed citations
10.
Yugandhar, Kumar, Shagun Gupta, & Haiyuan Yu. (2019). Inferring Protein-Protein Interaction Networks From Mass Spectrometry-Based Proteomic Approaches: A Mini-Review. Computational and Structural Biotechnology Journal. 17. 805–811. 38 indexed citations
11.
Gupta, V.K., et al.. (2017). Assessment of the reference values of intrauterine growth with particular to ponderal index for our region. Pediatric Review International Journal of Pediatric Research. 4(11). 681–687. 2 indexed citations
12.
Verma, Ritu, et al.. (2016). Gestational age assessment in newborns using regression equation of anthropometric parameters singly or in combination. Scholar Science Journals - International Journal of Biomedical Research. 7(8). 600–605. 3 indexed citations
13.
Gupta, Shagun, et al.. (2016). Neonatal hyperbilirubinaemia after induction of labour with oxytocin and cord serum albumin is compared with cord serum bilirubin as a risk indicator. Scholar Science Journals - International Journal of Biomedical Research. 7(7). 435–438. 1 indexed citations
14.
Gupta, Shagun, et al.. (2015). THE IDEAL INVESTIGATIVE METHOD FOR EVALUATION OF ABNORMAL UTERINE BLEEDING IN PERI AND POST MENOPAUSAL WOMEN. Journal of Evolution of Medical and Dental Sciences. 4(17). 2878–2884. 2 indexed citations
15.
Gupta, Shagun, et al.. (2014). Determining redundant nodes in a location unaware Wireless Sensor Network. 858–862. 2 indexed citations
16.
Gupta, Shagun, et al.. (2013). Analysis of Clustering Protocol for System Optimization in Heterogeneous Sensor Network. 2. 395–399. 1 indexed citations
17.
Gupta, Shagun, Timothy Kam, Michael Kishinevsky, et al.. (2002). Coordinated transformations for high-level synthesis of high performance microprocessor blocks. 898–903. 4 indexed citations
18.
Chaudhari, Ambalal, Shagun Gupta, & Michael A. Kirschenbaum. (1990). Cyclic AMP does not inhibit A23187-induced prostaglandin biosynthesis in cultured rabbit renal microvascular endothelial cells. Prostaglandins Leukotrienes and Essential Fatty Acids. 41(2). 119–123. 2 indexed citations
19.
Narula, Pramod, et al.. (1982). Cellular and humoral factors of human milk in relation to nutritional status in lactating mothers.. PubMed. 76. 415–23. 5 indexed citations
20.
Khurana, Vikram, et al.. (1970). Estimation of total protein in breast milk of Indian lactating mothers.. PubMed. 7(3). 156–8. 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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