Subhash Gaddipati

27 total papers · 905 total citations
16 papers, 715 citations indexed

About

Subhash Gaddipati is a scholar working on Radiology, Nuclear Medicine and Imaging, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Subhash Gaddipati has authored 16 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Public Health, Environmental and Occupational Health and 4 papers in Molecular Biology. Recurrent topics in Subhash Gaddipati's work include Ocular Surface and Contact Lens (8 papers), Corneal Surgery and Treatments (8 papers) and Corneal surgery and disorders (4 papers). Subhash Gaddipati is often cited by papers focused on Ocular Surface and Contact Lens (8 papers), Corneal Surgery and Treatments (8 papers) and Corneal surgery and disorders (4 papers). Subhash Gaddipati collaborates with scholars based in United States, India and China. Subhash Gaddipati's co-authors include Veena Sangwan, Geeta K. Vemuganti, Sayan Basu, Shubha Tiwari, Kunjal Sejpal, Sannapaneni Krishnaiah, D. Balasubramanian, Subir Bandyopadhyay, Suresh Subramaniam and Susmit Suvas and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Scientific Reports.

In The Last Decade

Subhash Gaddipati

15 papers receiving 702 citations

Author Peers

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

Author Last Decade Papers Cites
Subhash Gaddipati 533 436 193 114 67 16 715
Kishore Reddy Katikireddy 529 1.0× 321 0.7× 50 0.3× 144 1.3× 132 2.0× 20 737
Teresa Nieto-Miguel 456 0.9× 316 0.7× 89 0.5× 263 2.3× 25 0.4× 22 778
Philip N. Lewis 501 0.9× 311 0.7× 91 0.5× 92 0.8× 128 1.9× 29 752
Sai Kolli 605 1.1× 424 1.0× 126 0.7× 99 0.9× 91 1.4× 21 694
Yangluowa Qu 291 0.5× 318 0.7× 42 0.2× 114 1.0× 114 1.7× 16 627
Myrna Serapião dos Santos 612 1.1× 511 1.2× 162 0.8× 34 0.3× 118 1.8× 26 750
Y Sano 407 0.8× 251 0.6× 39 0.2× 78 0.7× 72 1.1× 14 684
David G. Hwang 659 1.2× 250 0.6× 104 0.5× 61 0.5× 167 2.5× 16 801
Suksri Chotikavanich 450 0.8× 715 1.6× 56 0.3× 58 0.5× 242 3.6× 17 898
Yuzuru Sasamoto 400 0.8× 216 0.5× 52 0.3× 233 2.0× 184 2.7× 25 708

Countries citing papers authored by Subhash Gaddipati

Since Specialization
Citations

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

Fields of papers citing papers by Subhash Gaddipati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhash Gaddipati

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