Brendan Ha

1.4k total citations · 1 hit paper
9 papers, 744 citations indexed

About

Brendan Ha is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Brendan Ha has authored 9 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Immunology and 2 papers in Epidemiology. Recurrent topics in Brendan Ha's work include vaccines and immunoinformatics approaches (5 papers), Immunotherapy and Immune Responses (3 papers) and Immune Cell Function and Interaction (3 papers). Brendan Ha is often cited by papers focused on vaccines and immunoinformatics approaches (5 papers), Immunotherapy and Immune Responses (3 papers) and Immune Cell Function and Interaction (3 papers). Brendan Ha collaborates with scholars based in United States, United Kingdom and Denmark. Brendan Ha's co-authors include Bjoern Peters, Mikhail Pomaznoy, Jason Greenbaum, Ariel Madrigal, Graham McVicker, Brandie White, Grégory Seumois, Gökmen Altay, Mitchell Kronenberg and Divya Singh and has published in prestigious journals such as Cell, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Brendan Ha

8 papers receiving 741 citations

Hit Papers

Impact of Genetic Polymorphisms on Human Immune Cell Gene... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brendan Ha United States 6 386 281 123 92 91 9 744
Enguerran Mouly France 11 519 1.3× 286 1.0× 154 1.3× 106 1.2× 173 1.9× 15 907
Benjamin D. Solomon United States 11 382 1.0× 653 2.3× 131 1.1× 69 0.8× 172 1.9× 21 1.1k
Alistair L. J. Symonds United Kingdom 13 253 0.7× 402 1.4× 65 0.5× 73 0.8× 158 1.7× 23 723
Katherine J. O’Malley United States 16 248 0.6× 166 0.6× 68 0.6× 72 0.8× 73 0.8× 30 674
Meino Rohlfs Germany 16 309 0.8× 338 1.2× 149 1.2× 41 0.4× 132 1.5× 41 746
Prabhat Kumar Purbey India 14 757 2.0× 298 1.1× 117 1.0× 84 0.9× 118 1.3× 19 1.0k
Evelyn Lau United Kingdom 6 273 0.7× 256 0.9× 181 1.5× 63 0.7× 41 0.5× 9 585
Viera Kasparcova United States 10 602 1.6× 378 1.3× 97 0.8× 146 1.6× 147 1.6× 11 874
Lucian Visan France 7 263 0.7× 263 0.9× 43 0.3× 85 0.9× 89 1.0× 9 606
Seri Mustafah Singapore 6 280 0.7× 348 1.2× 34 0.3× 89 1.0× 105 1.2× 6 676

Countries citing papers authored by Brendan Ha

Since Specialization
Citations

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

Fields of papers citing papers by Brendan Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brendan Ha

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

All Works

9 of 9 papers shown
1.
Willemsen, Lisa, Joaquin Reyna, Brendan Ha, et al.. (2024). A systems vaccinology resource to develop and test computational models of immunity. The Journal of Immunology. 212(1_Supplement). 1571_5604–1571_5604.
2.
Kim, Kevin, Brendan Ha, Jason W. Bennett, et al.. (2024). Next-generation IEDB tools: a platform for epitope prediction and analysis. Nucleic Acids Research. 52(W1). W526–W532. 16 indexed citations
3.
Mahita, Jarjapu, Jason Greenbaum, Brendan Ha, et al.. (2023). IEDB‐3D 2.0: Structural data analysis within the Immune Epitope Database. Protein Science. 32(4). e4605–e4605. 19 indexed citations
4.
Soldevila, Ferran, James A. Overton, Brendan Ha, et al.. (2021). Computational models of Immunity – Pertussis Boost (CMI-PB): Engaging the broader scientific community to develop predictive models of Tdap booster vaccination.. The Journal of Immunology. 206(1_Supplement). 59.22–59.22. 1 indexed citations
5.
Schmiedel, Benjamin Joachim, Divya Singh, Ariel Madrigal, et al.. (2019). Impact of genetic polymorphisms on human immune cell gene expression. The Journal of Immunology. 202(1_Supplement). 182.27–182.27. 5 indexed citations
6.
Ha, Brendan, Jason Greenbaum, Divya Singh, et al.. (2019). Database of Immune Cell EQTLs, Expression, Epigenomics. The Journal of Immunology. 202(1_Supplement). 131.18–131.18. 5 indexed citations
7.
Pomaznoy, Mikhail, Brendan Ha, & Bjoern Peters. (2018). GOnet: a tool for interactive Gene Ontology analysis. BMC Bioinformatics. 19(1). 470–470. 191 indexed citations
8.
Schmiedel, Benjamin Joachim, Divya Singh, Ariel Madrigal, et al.. (2018). Impact of Genetic Polymorphisms on Human Immune Cell Gene Expression. Cell. 175(6). 1701–1715.e16. 478 indexed citations breakdown →
9.
Dhanda, Sandeep Kumar, Randi Vita, Brendan Ha, et al.. (2018). ImmunomeBrowser: a tool to aggregate and visualize complex and heterogeneous epitopes in reference proteins. Bioinformatics. 34(22). 3931–3933. 29 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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