Bushra Samad

3.5k total citations · 3 hit papers
14 papers, 766 citations indexed

About

Bushra Samad is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Bushra Samad has authored 14 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 7 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Bushra Samad's work include Immune cells in cancer (8 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Immune Cell Function and Interaction (4 papers). Bushra Samad is often cited by papers focused on Immune cells in cancer (8 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Immune Cell Function and Interaction (4 papers). Bushra Samad collaborates with scholars based in United States, United Kingdom and Portugal. Bushra Samad's co-authors include Alexis J. Combes, Matthew F. Krummel, Kelly Kersten, Kimmen Sjölander, Evelina Gatti, Philippe Pierre, Rémy Char, Peter Yan, Rafael J. Argüello and Kenneth H. Hu and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Bushra Samad

14 papers receiving 761 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.

SCENITH: A Flow Cytometry-Based Method to Functionally Profile Energy Metabolism with Single-Cell Resolution

2020 278 citations Rafael J. Argüello, Alexis J. Combes et al. Cell Metabolism profile →
Spatiotemporal co-dependency between macrophages and exhausted CD8+ T cells in cancer

2022 188 citations Kelly Kersten, Kenneth H. Hu et al. Cancer Cell profile →
Tumor-associated macrophages restrict CD8+ T cell function through collagen deposition and metabolic reprogramming of the breast cancer microenvironment

2024 119 citations Kevin M. Tharp, Kelly Kersten et al. Nature Cancer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bushra Samad United States	10	419	316	217	88	59	14	766
Yunhong Cao United Kingdom	13	342 0.8×	363 1.1×	331 1.5×	130 1.5×	69 1.2×	16	798
Erik H. Knelson United States	15	183 0.4×	397 1.3×	214 1.0×	109 1.2×	39 0.7×	22	703
Yee Mon Thu United States	11	344 0.8×	485 1.5×	459 2.1×	197 2.2×	40 0.7×	16	954
Georgina H. Cornish United Kingdom	15	572 1.4×	305 1.0×	253 1.2×	44 0.5×	57 1.0×	25	882
Angela M. Gocher United States	5	320 0.8×	264 0.8×	326 1.5×	94 1.1×	20 0.3×	7	662
María Alejandra Gleisner Chile	15	310 0.7×	298 0.9×	212 1.0×	44 0.5×	21 0.4×	24	620
Rebekah Dadey United States	5	718 1.7×	282 0.9×	554 2.6×	191 2.2×	58 1.0×	8	1.1k
Elliot H. Akama‐Garren United States	9	351 0.8×	204 0.6×	329 1.5×	47 0.5×	52 0.9×	21	679
Matouš Hrdinka Czechia	18	432 1.0×	693 2.2×	231 1.1×	174 2.0×	46 0.8×	34	1.0k
Mai-Britt Zocca Denmark	15	509 1.2×	268 0.8×	348 1.6×	57 0.6×	18 0.3×	25	718

Countries citing papers authored by Bushra Samad

Since Specialization

Citations

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

Fields of papers citing papers by Bushra Samad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bushra Samad

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

Conrad, Catharina, Mélia Magnen, Jessica Tsui, et al.. (2025). Decoding functional hematopoietic progenitor cells in the adult human lung. Blood. 145(18). 1975–1986. 6 indexed citations

McIntyre, Tara I., Brittany Davidson, Bushra Samad, et al.. (2025). KDM6B-dependent epigenetic programming of uterine fibroblasts in early pregnancy regulates parturition timing in mice. Cell. 188(5). 1265–1279.e18. 3 indexed citations

Hu, Kenneth H., Savannah Hughes, Bushra Samad, et al.. (2025). Tumor cell heterogeneity drives spatial organization of the intratumoral immune response. The Journal of Experimental Medicine. 222(6). 5 indexed citations

Ray, Arja, Kenneth H. Hu, Kelly Kersten, et al.. (2024). Targeting CD206+ macrophages disrupts the establishment of a key antitumor immune axis. The Journal of Experimental Medicine. 222(1). 14 indexed citations

Tharp, Kevin M., Kelly Kersten, Ori Maller, et al.. (2024). Tumor-associated macrophages restrict CD8+ T cell function through collagen deposition and metabolic reprogramming of the breast cancer microenvironment. Nature Cancer. 5(7). 1045–1062. 119 indexed citations breakdown →

Tanaka, Miho, Kenneth H. Hu, Bushra Samad, et al.. (2023). 1502 Tumor heterogeneity impedes immunotherapy through driving spatially organized pockets of immunosuppression. SHILAP Revista de lepidopterología. A1666–A1666. 1 indexed citations

Combes, Alexis J., Bushra Samad, & Matthew F. Krummel. (2023). Defining and using immune archetypes to classify and treat cancer. Nature reviews. Cancer. 23(7). 491–505. 25 indexed citations

Hu, Kenneth H., Nicholas F. Kuhn, Tristan Courau, et al.. (2023). Transcriptional space-time mapping identifies concerted immune and stromal cell patterns and gene programs in wound healing and cancer. Cell stem cell. 30(6). 885–903.e10. 17 indexed citations

Kersten, Kelly, Kenneth H. Hu, Alexis J. Combes, et al.. (2022). Spatiotemporal co-dependency between macrophages and exhausted CD8+ T cells in cancer. Cancer Cell. 40(6). 624–638.e9. 188 indexed citations breakdown →

10.

You, Ran, Adam Fries, Austin Edwards, et al.. (2021). Active surveillance characterizes human intratumoral T cell exhaustion. Journal of Clinical Investigation. 131(18). 18 indexed citations

11.

Argüello, Rafael J., Alexis J. Combes, Rémy Char, et al.. (2020). SCENITH: A Flow Cytometry-Based Method to Functionally Profile Energy Metabolism with Single-Cell Resolution. Cell Metabolism. 32(6). 1063–1075.e7. 278 indexed citations breakdown →

12.

Afrasiabi, Cyrus, et al.. (2013). The PhyloFacts FAT-CAT web server: ortholog identification and function prediction using fast approximate tree classification. Nucleic Acids Research. 41(W1). W242–W248. 17 indexed citations

13.

Hagopian, Raffi, et al.. (2010). SATCHMO-JS: a webserver for simultaneous protein multiple sequence alignment and phylogenetic tree construction. Nucleic Acids Research. 38(Web Server). W29–W34. 22 indexed citations

14.

Datta, Ruchira S., et al.. (2009). Berkeley PHOG: PhyloFacts orthology group prediction web server. Nucleic Acids Research. 37(suppl_2). W84–W89. 53 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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