Shagun Gupta

641 citations
21 papers · 264 indexed · h-index 6
Topics
Bioinformatics and Genomic Networks (4 papers)Advanced Proteomics Techniques and Applications (3 papers)Birth, Development, and Health (2 papers)
Partner nations
United StatesIndiaIraq

In The Last Decade

Shagun Gupta

21 papers receiving 262 citations

Peers

Shagun Gupta
Comparison fields: 5 of 66
  • Molecular Biology 190
  • Cancer Research 65
  • Cell Biology 34
  • Epidemiology 31
  • Immunology 23
Replace Ivana Ihnatová with:
Ivana Ihnatová Czechia
Angelo Limeta Sweden
Charles-Hugues Lardeau Austria
Shinyeong Ju South Korea
Junichi Taira Japan
Ruchi Chauhan India
Giorgio Oliviero Ireland
Xi Tan Canada
Suzanna Bailey United States
Keith M. Goldstein United States
Shagun Gupta relative to Ivana Ihnatová Czechia Ivana Ihnatová's profile →
Citations per field
00.5×3.9×
Ivana Ihnatová · 1×
Citations per year

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
#WorkIndexed citations
1 2
2 1
3 19
4 1
5 88
6 1
7 12
8
Screening antibacterial efficacy and anticancer studies of A. vasica leaf crude extracts for formulation of potential herbal drug
3
9 38
10 73
11 2
12 1
13 3
14 2
15 2
16 1
17 4
18 2
19
Cellular and humoral factors of human milk in relation to nutritional status in lactating mothers.
5
20
Estimation of total protein in breast milk of Indian lactating mothers.
3

About Shagun Gupta

Shagun Gupta is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Nutrition and Dietetics, having authored 21 papers that have together received 264 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Advanced Proteomics Techniques and Applications (3 papers) and Birth, Development, and Health (2 papers). The work is most often cited by research in Cancer Research (65 citations), Molecular Biology (190 citations) and Cell Biology (34 citations). Shagun Gupta has collaborated with scholars based in United States, India and Iraq. Frequent co-authors include Haiyuan Yu, Kumar Yugandhar, Ethan J. Sanford, Marcus B. Smolka, Vítor M. Faça, Michael C. Lanz, J. Christopher Fromme, Zhonghan Li, Jason Dang and Ti‐Chun Chao. Their work appears in journals such as Nature Communications, The EMBO Journal and Nature Methods.

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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