Ramya Uppuluri

203 total papers · 852 total citations
61 papers, 260 citations indexed

About

Ramya Uppuluri is a scholar working on Hematology, Immunology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ramya Uppuluri has authored 61 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Hematology, 16 papers in Immunology and 15 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ramya Uppuluri's work include Hematopoietic Stem Cell Transplantation (24 papers), Acute Lymphoblastic Leukemia research (14 papers) and Immunodeficiency and Autoimmune Disorders (11 papers). Ramya Uppuluri is often cited by papers focused on Hematopoietic Stem Cell Transplantation (24 papers), Acute Lymphoblastic Leukemia research (14 papers) and Immunodeficiency and Autoimmune Disorders (11 papers). Ramya Uppuluri collaborates with scholars based in India, United Kingdom and United States. Ramya Uppuluri's co-authors include Revathi Raj, Venkateswaran Vellaichamy Swaminathan, Ira Shah, R. Balasubramaniam, Indira Jayakumar, D. Indumathi, Neha Rastogi, Biju George, Sarita Rani Jaiswal and Vikas Dua and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Immunology.

In The Last Decade

Ramya Uppuluri

48 papers receiving 256 citations

Author Peers

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

Author Last Decade Papers Cites
Ramya Uppuluri 115 83 61 51 49 61 260
Revathi Raj 128 1.1× 113 1.4× 76 1.2× 39 0.8× 51 1.0× 74 324
Yasutaka Aoyama 138 1.2× 77 0.9× 80 1.3× 32 0.6× 43 0.9× 43 294
Stefano Giardino 139 1.2× 82 1.0× 82 1.3× 35 0.7× 29 0.6× 40 319
Emre Tekgündüz 139 1.2× 45 0.5× 81 1.3× 36 0.7× 42 0.9× 58 316
Rolla Abu‐Arja 120 1.0× 82 1.0× 56 0.9× 27 0.5× 108 2.2× 44 327
Masanobu Morioka 129 1.1× 47 0.6× 71 1.2× 26 0.5× 44 0.9× 64 326
Larisa Broglie 194 1.7× 115 1.4× 74 1.2× 79 1.5× 37 0.8× 43 330
Ioannis Politikos 160 1.4× 61 0.7× 93 1.5× 43 0.8× 48 1.0× 29 267
Benjamin Watkins 135 1.2× 139 1.7× 54 0.9× 34 0.7× 42 0.9× 32 318
Young Bae Choi 95 0.8× 34 0.4× 67 1.1× 28 0.5× 40 0.8× 36 310

Countries citing papers authored by Ramya Uppuluri

Since Specialization
Citations

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

Fields of papers citing papers by Ramya Uppuluri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramya Uppuluri

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