Deepthi Madhireddy

8 total papers · 1.2k total citations
3 papers, 771 citations indexed

About

Deepthi Madhireddy is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Deepthi Madhireddy has authored 3 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Immunology, 1 paper in Molecular Biology and 1 paper in Oncology. Recurrent topics in Deepthi Madhireddy's work include Immunotherapy and Immune Responses (2 papers), T-cell and B-cell Immunology (2 papers) and Immune Cell Function and Interaction (1 paper). Deepthi Madhireddy is often cited by papers focused on Immunotherapy and Immune Responses (2 papers), T-cell and B-cell Immunology (2 papers) and Immune Cell Function and Interaction (1 paper). Deepthi Madhireddy collaborates with scholars based in United States and Israel. Deepthi Madhireddy's co-authors include Matthew H. Spitzer, Garry P. Nolan, Sean C. Bendall, Tyler R. Prestwood, Nathan E. Reticker-Flynn, Serena S. Kwek, Yaron Carmi, Pier Federico Gherardini, Edgar G. Engleman and Jonathan Chabon and has published in prestigious journals such as Cell and Frontiers in Immunology.

In The Last Decade

Deepthi Madhireddy

3 papers receiving 757 citations

Hit Papers

Systemic Immunity Is Requ... 2017 2026 2020 2023 2017 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Deepthi Madhireddy 497 464 194 77 69 3 771
Jonathan Chabon 502 1.0× 462 1.0× 255 1.3× 65 0.8× 73 1.1× 7 811
Irina V. Balyasnikova 401 0.8× 422 0.9× 171 0.9× 53 0.7× 113 1.6× 7 766
Kristal L. Gant 319 0.6× 294 0.6× 183 0.9× 73 0.9× 83 1.2× 7 683
Anna-Maria Jegg 396 0.8× 533 1.1× 204 1.1× 59 0.8× 110 1.6× 4 827
Daria Briukhovetska 267 0.5× 361 0.8× 198 1.0× 53 0.7× 54 0.8× 6 651
Neha Papneja 364 0.7× 269 0.6× 236 1.2× 127 1.6× 100 1.4× 4 713
Maria M. Martins 489 1.0× 439 0.9× 161 0.8× 65 0.8× 66 1.0× 11 731
Valeria Mollica Poeta 391 0.8× 388 0.8× 240 1.2× 47 0.6× 83 1.2× 7 746
Faezeh Khodadadi 449 0.9× 257 0.6× 187 1.0× 53 0.7× 132 1.9× 6 718
Douglas Marvel 412 0.8× 656 1.4× 198 1.0× 60 0.8× 58 0.8× 6 831

Countries citing papers authored by Deepthi Madhireddy

Since Specialization
Citations

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

Fields of papers citing papers by Deepthi Madhireddy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepthi Madhireddy

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