Elham Azizi

4.1k total citations · 1 hit paper
34 papers, 1.8k citations indexed

About

Elham Azizi is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Elham Azizi has authored 34 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Epidemiology. Recurrent topics in Elham Azizi's work include Single-cell and spatial transcriptomics (9 papers), Cell Image Analysis Techniques (5 papers) and Cancer Genomics and Diagnostics (4 papers). Elham Azizi is often cited by papers focused on Single-cell and spatial transcriptomics (9 papers), Cell Image Analysis Techniques (5 papers) and Cancer Genomics and Diagnostics (4 papers). Elham Azizi collaborates with scholars based in United States, Iran and Australia. Elham Azizi's co-authors include Dana Pe’er, Ambrose Carr, Sandhya Prabhakaran, Alexander Y. Rudensky, Linas Mažutis, Vaidotas Kiseliovas, George Plitas, Kristy Choi, Manu Setty and Peter T. McKenney and has published in prestigious journals such as Nature, Cell and The Journal of Experimental Medicine.

In The Last Decade

Elham Azizi

33 papers receiving 1.7k citations

Hit Papers

Single-Cell Map of Diverse Immune Phenotypes in the Breas... 2018 2026 2020 2023 2018 400 800 1.2k
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.

  1. Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment
    2018 1.3k citations Elham Azizi, Ambrose Carr et al. Cell profile →

Peers

Elham Azizi
Andrew Cornish United States
Joseph Cursons Australia
Yingmei Li China
Quy Nguyen United States
Dalia Barkley United States
Yalai Bai United States
Amira Barkal United States
Kirsten Hattermann Germany
Huiyu Li China
Martha Chekenya Norway
Andrew Cornish United States
Elham Azizi
Citations per year, relative to Elham Azizi Elham Azizi (= 1×) peers Andrew Cornish

Countries citing papers authored by Elham Azizi

Since Specialization
Citations

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

Fields of papers citing papers by Elham Azizi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elham Azizi

This figure shows the co-authorship network connecting the top 25 collaborators of Elham Azizi. A scholar is included among the top collaborators of Elham Azizi 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 Elham Azizi. Elham Azizi 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
1.
Boyeau, Pierre, Justin Hong, Adam Gayoso, et al.. (2025). Deep generative modeling of sample-level heterogeneity in single-cell genomics. Nature Methods. 22(11). 2264–2274. 2 indexed citations
2.
He, Siyu, Yuefei Zhu, Daniel Naveed Tavakol, et al.. (2025). Squidiff: predicting cellular development and responses to perturbations using a diffusion model. Nature Methods. 23(1). 65–77. 3 indexed citations
3.
Nazaret, Achille, Vincent‐Philippe Lavallée, Cassandra Burdziak, et al.. (2025). Joint representation and visualization of derailed cell states with Decipher. Genome biology. 26(1). 219–219. 2 indexed citations
4.
Azizi, Elham, Yasuhiro Okumura, Mats Lindblad, et al.. (2025). Pain management after minimally invasive gastrectomy: do we need epidural analgesia?. European Journal of Surgical Oncology. 51(10). 110232–110232. 1 indexed citations
5.
Maurer, Katie, Teddy Huang, Shuqiang Li, et al.. (2024). A Bayesian framework for inferring dynamic intercellular interactions from time-series single-cell data. Genome Research. 34(9). 1384–1396. 4 indexed citations
6.
Nazaret, Achille, et al.. (2024). A thousand and one tumors: the promise of AI for cancer biology. Nature Methods. 21(8). 1403–1406. 4 indexed citations
7.
Maurer, Katie, Michael Lawson, Martin M. Fabani, et al.. (2024). Deconvolving Immunologic Networks of the AML Marrow Microenvironment with Spatial Multi-Omic Profiling. Blood. 144(Supplement 1). 928–928. 2 indexed citations
8.
Azizi, Elham, et al.. (2023). Cellstitch: 3D cellular anisotropic image segmentation via optimal transport. BMC Bioinformatics. 24(1). 480–480. 5 indexed citations
9.
10.
Tavakol, Daniel Naveed, Trevor R. Nash, Siyu He, et al.. (2023). Modeling and countering the effects of cosmic radiation using bioengineered human tissues. Biomaterials. 301. 122267–122267. 11 indexed citations
11.
Azizi, Elham, Joanne Fielding, & Larry A. Abel. (2022). Video game training in traumatic brain injury patients: an exploratory case report study using eye tracking. Journal of Eye Movement Research. 15(1). 7 indexed citations
12.
Alonso‐Curbelo, Direna, Yu-Jui Ho, Cassandra Burdziak, et al.. (2021). A gene–environment-induced epigenetic program initiates tumorigenesis. Nature. 590(7847). 642–648. 161 indexed citations
13.
Azizi, Elham, et al.. (2018). Is experience in multi-genre video game playing accompanied by impulsivity?. Acta Psychologica. 190. 78–84. 10 indexed citations
14.
Azizi, Elham, Ambrose Carr, George Plitas, et al.. (2018). Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment. Cell. 174(5). 1293–1308.e36. 1250 indexed citations breakdown →
15.
Prabhakaran, Sandhya, Elham Azizi, Ambrose Carr, & Dana Pe’er. (2016). Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data.. PubMed Central. 48. 1070–1079. 63 indexed citations
16.
Azizi, Elham, et al.. (2016). The influence of action video game playing on eye movement behaviour during visual search in abstract, in-game and natural scenes. Attention Perception & Psychophysics. 79(2). 484–497. 19 indexed citations
17.
Gomes, Antonio L. C., Thomas Abeel, Matthew Peterson, et al.. (2014). Decoding ChIP-seq with a double-binding signal refines binding peaks to single-nucleotides and predicts cooperative interaction. Genome Research. 24(10). 1686–1697. 16 indexed citations
18.
Ostadimoghaddam, Hadi, Abbasali Yekta, Hassan Hashemi, et al.. (2013). Prevalence of Uncorrected Refractive Errors in Schoolchildren; A Crucial Vision Screening to Consider!. 25(1). 59–65. 1 indexed citations
19.
Yekta, Abbasali, Hassan Hashemi, Elham Azizi, et al.. (2012). The Prevalence of Amblyopia and Strabismus among Schoolchildren in Northeastern Iran, 2011. 24(4). 3–10. 15 indexed citations
20.
Heim, M., et al.. (2000). Rehabilitation considerations of prosthetic fittings for Kaposi's sarcoma amputees. Disability and Rehabilitation. 22(16). 734–736. 4 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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