Imran G. House

2.0k total citations · 1 hit paper
14 papers, 1.1k citations indexed

About

Imran G. House is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Imran G. House has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 8 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Imran G. House's work include Immune Cell Function and Interaction (7 papers), CAR-T cell therapy research (5 papers) and Immunotherapy and Immune Responses (4 papers). Imran G. House is often cited by papers focused on Immune Cell Function and Interaction (7 papers), CAR-T cell therapy research (5 papers) and Immunotherapy and Immune Responses (4 papers). Imran G. House collaborates with scholars based in Australia, United States and Switzerland. Imran G. House's co-authors include Paul A. Beavis, Junyun Lai, Phillip K. Darcy, Sherly Mardiana, Amanda X. Y. Chen, Kevin Sek, Emma V. Petley, Melissa A. Henderson, Lauren Giuffrida and Kirsten L. Todd and has published in prestigious journals such as Nature Communications, Immunity and Nature Immunology.

In The Last Decade

Imran G. House

14 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Macrophage-Derived CXCL9 and CXCL10 Are Required for Antitumor Immune Responses Following Immune Checkpoint Blockade

2019 412 citations Imran G. House, Peter Savas et al. Clinical Cancer Research profile →

Peers

Countries citing papers authored by Imran G. House

Since Specialization

Citations

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

Fields of papers citing papers by Imran G. House

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Imran G. House. 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 Imran G. House. The network helps show where Imran G. House may publish in the future.

Co-authorship network of co-authors of Imran G. House

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

All Works

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14 of 14 papers shown

#	Title	Journal	Authors	Indexed citations
1	Single-cell protein expression profiling resolves circulating and resident memory T cell diversity across tissues and infection contexts	Immunity	Maximilien Evrard, Étienne Becht et al.	38
2	Distinct modulation of IFNγ-induced transcription by BET bromodomain and catalytic P300/CBP inhibition in breast cancer	Clinical Epigenetics	Simon J. Hogg, Conor J. Kearney et al.	3
3	CRISPR/Cas9 mediated deletion of the adenosine A2A receptor enhances CAR T cell efficacy	Nature Communications	Lauren Giuffrida, Kevin Sek et al.	150
4	Efficient CRISPR/Cas9 Gene Editing in Uncultured Naive Mouse T Cells for In Vivo Studies	The Journal of Immunology	Simone Nüssing, Imran G. House et al.	50
5	IL-15 Preconditioning Augments CAR T Cell Responses to Checkpoint Blockade for Improved Treatment of Solid Tumors	Molecular Therapy	Lauren Giuffrida, Kevin Sek et al.	74
6	Adoptive cellular therapy with T cells expressing the dendritic cell growth factor Flt3L drives epitope spreading and antitumor immunity	Nature Immunology	Junyun Lai, Sherly Mardiana et al.	159
7	Macrophage-Derived CXCL9 and CXCL10 Are Required for Antitumor Immune Responses Following Immune Checkpoint Blockade breakdown →	Clinical Cancer Research	Imran G. House, Peter Savas et al.	412
8	Switching on the green light for chimeric antigen receptor T‐cell therapy	Clinical & Translational Immunology	Sherly Mardiana, Junyun Lai et al.	11
9	Tissue‐specific tumor microenvironments influence responses to immunotherapies	Clinical & Translational Immunology	Amanda J. Oliver, Simon P. Keam et al.	22
10	Dual PD-1 and CTLA-4 Checkpoint Blockade Promotes Antitumor Immune Responses through CD4+Foxp3− Cell–Mediated Modulation of CD103+ Dendritic Cells	Cancer Immunology Research	Paul A. Beavis, Melissa A. Henderson et al.	51
11	Regulation of perforin activation and pre‐synaptic toxicity through C‐terminal glycosylation	EMBO Reports	Imran G. House, Colin M. House et al.	28
12	Missense mutations in the perforin (PRF1) gene as a cause of hereditary cancer predisposition	OncoImmunology	Mohammed S. Chaudhry, Kimberly Gilmour et al.	17
13	Heterozygosity for the common perforin mutation, p.A91V, impairs the cytotoxicity of primary natural killer cells from healthy individuals	Immunology and Cell Biology	Imran G. House, Kevin Thia et al.	36
14	A Method for Detecting Intracellular Perforin in Mouse Lymphocytes	The Journal of Immunology	A. J. Brennan, Imran G. House et al.	11

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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