Kavya Rakhra

2.7k total citations · 1 hit paper
21 papers, 1.5k citations indexed

About

Kavya Rakhra is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Kavya Rakhra has authored 21 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 9 papers in Oncology and 7 papers in Molecular Biology. Recurrent topics in Kavya Rakhra's work include Immunotherapy and Immune Responses (8 papers), CAR-T cell therapy research (7 papers) and Immune Cell Function and Interaction (7 papers). Kavya Rakhra is often cited by papers focused on Immunotherapy and Immune Responses (8 papers), CAR-T cell therapy research (7 papers) and Immune Cell Function and Interaction (7 papers). Kavya Rakhra collaborates with scholars based in United States, Germany and India. Kavya Rakhra's co-authors include Darrell J. Irvine, Melissa C. Hanson, Talar Tokatlian, Dean W. Felsher, Alice C. Fan, Qiwei Yang, Zhuang Liu, Hongjie Dai, Xiaohong Chen and Sarah C. Sherlock and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Angewandte Chemie International Edition.

In The Last Decade

Kavya Rakhra

21 papers receiving 1.5k citations

Hit Papers

Synthetic Nanoparticles for Vaccines and Immunotherapy 2015 2026 2018 2022 2015 200 400 600

Peers

Kavya Rakhra
Comparison fields: 5 of 96
  • Biomedical Engineering 658
  • Immunology 550
  • Molecular Biology 530
  • Materials Chemistry 389
  • Biomaterials 305
Replace João Conniot with:
João Conniot Portugal
Young‐Woock Noh South Korea
Eric L. Dane United States
Ashish Kulkarni United States
Zichao Luo China
Nathan D. Donahue United States
Sébastien Wieckowski Switzerland
Hao Qin China
Shisong Han China
Guankui Wang United States
João Conniot Portugal View profile →
Citations per field, relative to Kavya Rakhra
Kavya Rakhra · 1×
Citations per year, relative to Kavya Rakhra
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Countries citing papers authored by Kavya Rakhra

Since Specialization
Citations

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

Fields of papers citing papers by Kavya Rakhra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kavya Rakhra

This figure shows the co-authorship network connecting the top 25 collaborators of Kavya Rakhra. A scholar is included among the top collaborators of Kavya Rakhra 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 Kavya Rakhra. Kavya Rakhra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 6
3 1
4 1
5 21
6 1
7 1
8 64
9 3
10 57
11 118
12
Synthetic Nanoparticles for Vaccines and Immunotherapy
4
13
Synthetic Nanoparticles for Vaccines and Immunotherapy breakdown →
628
14 24
15 29
16 9
17 444
18 40
19
Synthesis of N4-(2,4-dimethylphenyl) semicarbazones as 4-aminobutyrate aminotransferase inhibitors.
14
20 33

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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