Jayshree Nellore

38 total papers · 692 total citations
24 papers, 455 citations indexed

About

Jayshree Nellore is a scholar working on Molecular Biology, Pharmaceutical Science and Cell Biology. According to data from OpenAlex, Jayshree Nellore has authored 24 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Pharmaceutical Science and 4 papers in Cell Biology. Recurrent topics in Jayshree Nellore's work include Advanced Drug Delivery Systems (4 papers), Zebrafish Biomedical Research Applications (3 papers) and Dye analysis and toxicity (2 papers). Jayshree Nellore is often cited by papers focused on Advanced Drug Delivery Systems (4 papers), Zebrafish Biomedical Research Applications (3 papers) and Dye analysis and toxicity (2 papers). Jayshree Nellore collaborates with scholars based in India, Zimbabwe and Jordan. Jayshree Nellore's co-authors include Kanchana Amarnath, C. Valli Nachiyar, S. Sandhya, Uma Sekar, Swetha Sunkar, J.B. Prasanna Kumar, S. Karthick Raja Namasivayam, P. Shilpa, P. Prakash and D. Sivaraman and has published in prestigious journals such as Scientific Reports, Journal of Industrial Microbiology & Biotechnology and Artificial Cells Nanomedicine and Biotechnology.

In The Last Decade

Jayshree Nellore

21 papers receiving 447 citations

Hit Papers

Developments in treatment... 2023 2026 2024 2023 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Jayshree Nellore 167 96 71 70 60 24 455
Zaid Mahmood 117 0.7× 103 1.1× 77 1.1× 86 1.2× 57 0.9× 33 499
Jin-Ming Gao 91 0.5× 163 1.7× 126 1.8× 84 1.2× 42 0.7× 29 552
Maryam Fallahi 48 0.3× 74 0.8× 51 0.7× 45 0.6× 64 1.1× 22 421
Haiyu Luo 128 0.8× 62 0.6× 80 1.1× 76 1.1× 77 1.3× 50 530
Mohamed Ragab AbdelGawwad 182 1.1× 63 0.7× 120 1.7× 43 0.6× 77 1.3× 37 484
Hafiz Muhammad Umer Farooqi 135 0.8× 186 1.9× 56 0.8× 23 0.3× 20 0.3× 35 486
Seyedeh-Masoumeh Taghizadeh 298 1.8× 182 1.9× 55 0.8× 48 0.7× 32 0.5× 28 528
Hou-Chien Chang 101 0.6× 63 0.7× 96 1.4× 74 1.1× 21 0.3× 30 513
Adina Răducan 101 0.6× 49 0.5× 91 1.3× 85 1.2× 44 0.7× 31 462
Desong Yang 246 1.5× 133 1.4× 74 1.0× 48 0.7× 40 0.7× 29 525

Countries citing papers authored by Jayshree Nellore

Since Specialization
Citations

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

Fields of papers citing papers by Jayshree Nellore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jayshree Nellore

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