Kimaada Allette

1.1k total citations
7 papers, 220 citations indexed

About

Kimaada Allette is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Kimaada Allette has authored 7 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Immunology. Recurrent topics in Kimaada Allette's work include Single-cell and spatial transcriptomics (2 papers), Cancer Genomics and Diagnostics (2 papers) and Immune Cell Function and Interaction (2 papers). Kimaada Allette is often cited by papers focused on Single-cell and spatial transcriptomics (2 papers), Cancer Genomics and Diagnostics (2 papers) and Immune Cell Function and Interaction (2 papers). Kimaada Allette collaborates with scholars based in United States, South Africa and United Kingdom. Kimaada Allette's co-authors include Robert Sebra, Philippa R Kennedy, Samantha Smith, Wendy Thomson, Karen Usdin, Daniel M. Davis, Everardo Hegewisch-Solloa, Xiao-Nan Zhao, Emily M. Mace and Ying‐Chih Wang and has published in prestigious journals such as Nature Communications, Blood and PLoS Genetics.

In The Last Decade

Kimaada Allette

7 papers receiving 220 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kimaada Allette United States 5 113 111 40 26 24 7 220
Susan Morse United Kingdom 7 35 0.3× 102 0.9× 37 0.9× 41 1.6× 42 1.8× 9 277
Elodie Sanchez France 9 57 0.5× 159 1.4× 42 1.1× 95 3.7× 16 0.7× 15 272
Sayaka Nagao-Sato Japan 5 162 1.4× 202 1.8× 27 0.7× 25 1.0× 11 0.5× 8 349
Dagmara Kaczyńska Sweden 5 112 1.0× 80 0.7× 62 1.6× 18 0.7× 8 0.3× 5 199
Yuki Yamamura Japan 7 81 0.7× 53 0.5× 47 1.2× 13 0.5× 25 1.0× 9 196
Tonya M. Brunetti United States 10 106 0.9× 217 2.0× 105 2.6× 40 1.5× 18 0.8× 21 401
Rémy Char France 3 165 1.5× 126 1.1× 38 0.9× 29 1.1× 11 0.5× 3 304
Courtney K. Burrows United States 5 40 0.4× 223 2.0× 33 0.8× 51 2.0× 10 0.4× 5 300
Heather Eckart United States 8 74 0.7× 291 2.6× 54 1.4× 37 1.4× 21 0.9× 11 387
Immanuel Andrä Germany 4 81 0.7× 170 1.5× 62 1.6× 26 1.0× 25 1.0× 6 295

Countries citing papers authored by Kimaada Allette

Since Specialization
Citations

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

Fields of papers citing papers by Kimaada Allette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimaada Allette

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

All Works

7 of 7 papers shown
1.
Kapoor, Manav, Annalena La Porte, Ying‐Chih Wang, et al.. (2025). Tracking HIV persistence across T cell lineages during early ART-treated HIV-1-infection using a reservoir-marking humanized mouse model. Nature Communications. 16(1). 2233–2233. 4 indexed citations
2.
Mussa, Zarmeen, Elisa M. Nabel, Balagopal Pai, et al.. (2022). An atlas of late prenatal human neurodevelopment resolved by single-nucleus transcriptomics. Nature Communications. 13(1). 7671–7671. 23 indexed citations
3.
Smith, Samantha, Philippa R Kennedy, Kevin Stacey, et al.. (2020). Diversity of peripheral blood human NK cells identified by single-cell RNA sequencing. Blood Advances. 4(7). 1388–1406. 112 indexed citations
4.
Wang, Li, Robert Sebra, John P. Sfakianos, et al.. (2020). A reference profile-free deconvolution method to infer cancer cell-intrinsic subtypes and tumor-type-specific stromal profiles. Genome Medicine. 12(1). 24–24. 41 indexed citations
5.
Melnekoff, David T., Alessandro Laganà, Wissam Hamou, et al.. (2017). Single-Cell RNA Sequencing Reveals Distinct Transcriptomic Profiles of Multiple Myeloma with Implications for Personalized Medicine. Blood. 130. 62–62. 2 indexed citations
6.
Chen, Xintong, Sander M. Houten, Kimaada Allette, et al.. (2017). Characterization of drug-induced splicing complexity in prostate cancer cell line using long read technology. PubMed. 23. 8–19. 4 indexed citations
7.
Zhao, Xiao-Nan, Rachel Lokanga, Kimaada Allette, et al.. (2016). A MutSβ-Dependent Contribution of MutSα to Repeat Expansions in Fragile X Premutation Mice?. PLoS Genetics. 12(7). e1006190–e1006190. 34 indexed citations

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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