Anupa Kudva

19 total papers · 757 total citations
6 papers, 33 citations indexed

About

Anupa Kudva is a scholar working on Oncology, Hematology and Immunology. According to data from OpenAlex, Anupa Kudva has authored 6 papers receiving a total of 33 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 2 papers in Hematology and 2 papers in Immunology. Recurrent topics in Anupa Kudva's work include Multiple Myeloma Research and Treatments (2 papers), Peptidase Inhibition and Analysis (2 papers) and Cancer Immunotherapy and Biomarkers (1 paper). Anupa Kudva is often cited by papers focused on Multiple Myeloma Research and Treatments (2 papers), Peptidase Inhibition and Analysis (2 papers) and Cancer Immunotherapy and Biomarkers (1 paper). Anupa Kudva collaborates with scholars based in United States, Canada and Spain. Anupa Kudva's co-authors include Mitchell D. Creinin, Matthew F. Reeves, Jean-Benoît Le Luduec, Jeanette E. Boudreau, Katharine C. Hsu, Huiling Pei, Meral Beksaç, Katharine S. Gries, Maria Delioukina and Robin Carson and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Scientific Reports.

In The Last Decade

Anupa Kudva

5 papers receiving 30 citations

Author Peers

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

Author Last Decade Papers Cites
Anupa Kudva 11 11 10 8 8 6 33
Connor Jones 8 0.7× 15 1.4× 16 1.6× 5 0.6× 3 0.4× 7 32
T Janjic 4 0.4× 9 0.8× 5 0.5× 6 0.8× 4 0.5× 8 34
Arlene A. Gayle 16 1.5× 7 0.6× 8 0.8× 6 0.8× 4 0.5× 8 39
Nahal Lalefar 7 0.6× 21 1.9× 5 0.5× 4 0.5× 6 0.8× 7 26
Martha Margarita Velázquez‐Aviña 10 0.9× 7 0.6× 10 1.0× 9 1.1× 4 0.5× 5 32
Alexandra Lubina Solomon 7 0.6× 12 1.1× 6 0.6× 5 0.6× 1 0.1× 5 24
Katharina L. Gössling 11 1.0× 6 0.5× 7 0.7× 14 1.8× 9 1.1× 5 40
Giulia Palazzo 16 1.5× 14 1.3× 7 0.7× 2 0.3× 12 1.5× 6 35
Alina Fedorova 18 1.6× 3 0.3× 10 1.0× 3 0.4× 10 1.3× 8 34
Bazetta Blacklock-Schuver 10 0.9× 16 1.5× 4 0.4× 2 0.3× 8 1.0× 6 29

Countries citing papers authored by Anupa Kudva

Since Specialization
Citations

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

Fields of papers citing papers by Anupa Kudva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anupa Kudva

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