Supriya Jagga

22 total papers · 647 total citations
18 papers, 475 citations indexed

About

Supriya Jagga is a scholar working on Molecular Biology, Surgery and Nephrology. According to data from OpenAlex, Supriya Jagga has authored 18 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Surgery and 4 papers in Nephrology. Recurrent topics in Supriya Jagga's work include Orthopaedic implants and arthroplasty (4 papers), Bone Metabolism and Diseases (3 papers) and Bone Tissue Engineering Materials (3 papers). Supriya Jagga is often cited by papers focused on Orthopaedic implants and arthroplasty (4 papers), Bone Metabolism and Diseases (3 papers) and Bone Tissue Engineering Materials (3 papers). Supriya Jagga collaborates with scholars based in South Korea, United States and India. Supriya Jagga's co-authors include Ashish Ranjan Sharma, Sang‐Soo Lee, Ju‐Suk Nam, Garima Sharma, Yeon‐Hee Lee, Jong-Bong Park, Chiranjib Chakraborty, Yeon Hee Lee, Eva S. Liu and Sang Soo Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Endocrinology.

In The Last Decade

Supriya Jagga

18 papers receiving 462 citations

Author Peers

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

Author Last Decade Papers Cites
Supriya Jagga 192 174 100 77 55 18 475
Zijian Yan 141 0.7× 270 1.6× 91 0.9× 78 1.0× 54 1.0× 34 537
Nikolaos Stefanou 247 1.3× 165 0.9× 63 0.6× 63 0.8× 64 1.2× 20 546
Jingdi Zhan 156 0.8× 265 1.5× 62 0.6× 57 0.7× 41 0.7× 27 507
SX Zheng 143 0.7× 150 0.9× 61 0.6× 88 1.1× 70 1.3× 16 451
Pisamai Laupattarakasem 99 0.5× 159 0.9× 105 1.1× 67 0.9× 24 0.4× 13 523
Kaisong Miao 118 0.6× 144 0.8× 82 0.8× 50 0.6× 22 0.4× 14 404
Mozhen Liu 56 0.3× 211 1.2× 120 1.2× 91 1.2× 45 0.8× 29 452
Li‐Jung Kang 135 0.7× 201 1.2× 26 0.3× 68 0.9× 31 0.6× 20 509
Jiangwei Xuan 127 0.7× 173 1.0× 73 0.7× 87 1.1× 39 0.7× 14 405
Chuanxu Zhang 136 0.7× 146 0.8× 167 1.7× 117 1.5× 16 0.3× 16 470

Countries citing papers authored by Supriya Jagga

Since Specialization
Citations

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

Fields of papers citing papers by Supriya Jagga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supriya Jagga

This figure shows the co-authorship network connecting the top 25 collaborators of Supriya Jagga. A scholar is included among the top collaborators of Supriya Jagga 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 Supriya Jagga. Supriya Jagga 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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