Shalini Jaggi

76 total papers · 1.3k total citations
28 papers, 877 citations indexed

About

Shalini Jaggi is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Shalini Jaggi has authored 28 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Surgery and 6 papers in Molecular Biology. Recurrent topics in Shalini Jaggi's work include Diabetes Management and Research (12 papers), Diabetes Treatment and Management (7 papers) and Metabolism, Diabetes, and Cancer (5 papers). Shalini Jaggi is often cited by papers focused on Diabetes Management and Research (12 papers), Diabetes Treatment and Management (7 papers) and Metabolism, Diabetes, and Cancer (5 papers). Shalini Jaggi collaborates with scholars based in India, United States and Australia. Shalini Jaggi's co-authors include Rajeev Chawla, Aastha Chawla, Banshi Saboo, Mangesh Tiwaskar, Sanjay Kalra, Sushil Kumar Singh, B. M. Makkar, Subhankar Chowdhury, Vijay Viswanathan and Sanjay Kumar Bharti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes and Mini-Reviews in Medicinal Chemistry.

In The Last Decade

Shalini Jaggi

22 papers receiving 842 citations

Hit Papers

Microvasular and macrovas... 2016 2026 2019 2022 2016 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shalini Jaggi 436 163 126 122 111 28 877
Aastha Chawla 390 0.9× 156 1.0× 113 0.9× 103 0.8× 113 1.0× 14 812
Márcia Silva Queiroz 310 0.7× 166 1.0× 103 0.8× 106 0.9× 96 0.9× 39 774
Alexandra Katsimardou 400 0.9× 228 1.4× 146 1.2× 134 1.1× 154 1.4× 39 967
Mustafa Kinaan 384 0.9× 219 1.3× 103 0.8× 125 1.0× 120 1.1× 20 872
Athanasios Raptis 320 0.7× 253 1.6× 136 1.1× 103 0.8× 97 0.9× 39 1.0k
Roberta Arnoldi Cobas 534 1.2× 160 1.0× 146 1.2× 166 1.4× 112 1.0× 39 981
T. Méas 301 0.7× 167 1.0× 95 0.8× 126 1.0× 75 0.7× 35 957
Caroline Pereira Domingueti 201 0.5× 187 1.1× 104 0.8× 101 0.8× 83 0.7× 33 796
C. Snehalatha 559 1.3× 117 0.7× 78 0.6× 122 1.0× 186 1.7× 47 856
Manuela Abbate 293 0.7× 163 1.0× 233 1.8× 152 1.2× 319 2.9× 28 1.0k

Countries citing papers authored by Shalini Jaggi

Since Specialization
Citations

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

Fields of papers citing papers by Shalini Jaggi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shalini Jaggi

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

All Works

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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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