Shila Ghazanfar

3.5k total citations · 1 hit paper
36 papers, 1.1k citations indexed

About

Shila Ghazanfar is a scholar working on Molecular Biology, Cancer Research and Biophysics. According to data from OpenAlex, Shila Ghazanfar has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Biophysics. Recurrent topics in Shila Ghazanfar's work include Single-cell and spatial transcriptomics (21 papers), Gene expression and cancer classification (11 papers) and Gene Regulatory Network Analysis (7 papers). Shila Ghazanfar is often cited by papers focused on Single-cell and spatial transcriptomics (21 papers), Gene expression and cancer classification (11 papers) and Gene Regulatory Network Analysis (7 papers). Shila Ghazanfar collaborates with scholars based in Australia, United States and United Kingdom. Shila Ghazanfar's co-authors include Jean Yang, John C. Marioni, Carolina Guibentif, Yingxin Lin, Helen Rizos, Matteo S. Carlino, Edmond J. Breen, Georgina V. Long, Richard A. Scolyer and Jenny Lee and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Shila Ghazanfar

32 papers receiving 1.1k citations

Hit Papers

align trajectories sort by overperformance

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.

Integration of spatial and single-cell transcriptomic data elucidates mouse organogenesis

2021 169 citations Shila Ghazanfar, Alsu Missarova et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shila Ghazanfar Australia	17	770	309	179	155	148	36	1.1k
Andrew L. Ji United States	8	986 1.3×	275 0.9×	282 1.6×	117 0.8×	250 1.7×	15	1.3k
Emma Dann United States	7	704 0.9×	131 0.4×	298 1.7×	109 0.7×	215 1.5×	12	1.0k
Ricardo O. Ramirez Flores Germany	11	758 1.0×	141 0.5×	250 1.4×	106 0.7×	147 1.0×	17	1.1k
Cassandra Burdziak United States	5	875 1.1×	217 0.7×	222 1.2×	106 0.7×	271 1.8×	6	1.1k
Sarah E. Taylor United States	13	878 1.1×	235 0.8×	180 1.0×	80 0.5×	245 1.7×	39	1.2k
Gustavo S. França Brazil	11	996 1.3×	249 0.8×	290 1.6×	122 0.8×	367 2.5×	13	1.4k
Isaac Virshup Australia	6	678 0.9×	185 0.6×	168 0.9×	94 0.6×	84 0.6×	8	911
Robin Browaeys Belgium	5	664 0.9×	203 0.7×	439 2.5×	78 0.5×	149 1.0×	6	1.1k
Lindsay M. LaFave United States	8	808 1.0×	161 0.5×	137 0.8×	123 0.8×	258 1.7×	15	1.0k
Michael Zager United States	6	781 1.0×	159 0.5×	99 0.6×	84 0.5×	153 1.0×	12	1.0k

Countries citing papers authored by Shila Ghazanfar

Since Specialization

Citations

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

Fields of papers citing papers by Shila Ghazanfar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shila Ghazanfar

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

All Works

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20 of 20 papers shown

Fu, Xiaohang, et al.. (2025). Benchmarking the translational potential of spatial gene expression prediction from histology. Nature Communications. 16(1). 1544–1544. 11 indexed citations

Zhou, Haowen, et al.. (2025). Spatial mutual nearest neighbors for spatial transcriptomics data. Bioinformatics. 41(8). 1 indexed citations

Cao, Yue, Lijia Yu, Sanghyun Kim, et al.. (2025). The current landscape and emerging challenges of benchmarking single-cell methods. Briefings in Bioinformatics. 26(5).

Patrick, Ralph, Vaibhao Janbandhu, Vikram J. Tallapragada, et al.. (2024). Integration mapping of cardiac fibroblast single-cell transcriptomes elucidates cellular principles of fibrosis in diverse pathologies. Science Advances. 10(25). eadk8501–eadk8501. 22 indexed citations

Ghazanfar, Shila, Carolina Guibentif, & John C. Marioni. (2023). Stabilized mosaic single-cell data integration using unshared features. Nature Biotechnology. 42(2). 284–292. 44 indexed citations

Cao, Yue, Shila Ghazanfar, Pengyi Yang, & Jean Yang. (2023). Benchmarking of analytical combinations for COVID-19 outcome prediction using single-cell RNA sequencing data. Briefings in Bioinformatics. 24(3). 3 indexed citations

Patrick, Ellis, et al.. (2023). MoleculeExperiment enables consistent infrastructure for molecule-resolved spatial omics data in bioconductor. Bioinformatics. 39(9). 3 indexed citations

Lin, Xionghui, Benjamin Swedlund, Mai-Linh Ton, et al.. (2022). Mesp1 controls the chromatin and enhancer landscapes essential for spatiotemporal patterning of early cardiovascular progenitors. Nature Cell Biology. 24(7). 1114–1128. 12 indexed citations

Righelli, Dario, Lukas M. Weber, Helena L. Crowell, et al.. (2022). SpatialExperiment: infrastructure for spatially-resolved transcriptomics data in R using Bioconductor. Bioinformatics. 38(11). 3128–3131. 46 indexed citations

10.

Francis, Deanne, Shila Ghazanfar, Essi Havula, et al.. (2021). Genome-wide analysis in Drosophila reveals diet-by-gene interactions and uncovers diet-responsive genes. G3 Genes Genomes Genetics. 11(10). 6 indexed citations

11.

Missarova, Alsu, Jaison Jain, Andrew Butler, et al.. (2021). geneBasis: an iterative approach for unsupervised selection of targeted gene panels from scRNA-seq. Genome biology. 22(1). 333–333. 19 indexed citations

12.

Barile, Melania, Iván Imaz-Rosshandler, Shila Ghazanfar, et al.. (2021). Coordinated changes in gene expression kinetics underlie both mouse and human erythroid maturation. Genome biology. 22(1). 197–197. 35 indexed citations

13.

Su, Xianbin, Qi Long, Juanjie Bo, et al.. (2020). Mutational and transcriptomic landscapes of a rare human prostate basal cell carcinoma. The Prostate. 80(6). 508–517. 14 indexed citations

14.

Guibentif, Carolina, Jonathan A. Griffiths, Iván Imaz-Rosshandler, et al.. (2020). Diverse Routes toward Early Somites in the Mouse Embryo. Developmental Cell. 56(1). 141–153.e6. 49 indexed citations

15.

Ghazanfar, Shila, Yingxin Lin, Xianbin Su, et al.. (2020). Investigating higher-order interactions in single-cell data with scHOT. Nature Methods. 17(8). 799–806. 43 indexed citations

16.

Lin, Yingxin, Shila Ghazanfar, Kevin Wang, et al.. (2019). scMerge leverages factor analysis, stable expression, and pseudoreplication to merge multiple single-cell RNA-seq datasets. Proceedings of the National Academy of Sciences. 116(20). 9775–9784. 110 indexed citations

17.

Lin, Yingxin, Shila Ghazanfar, Dario Strbenac, et al.. (2019). Evaluating stably expressed genes in single cells. GigaScience. 8(9). 48 indexed citations

18.

Rood, Jennifer, Tim Stuart, Shila Ghazanfar, et al.. (2019). Toward a Common Coordinate Framework for the Human Body. Cell. 179(7). 1455–1467. 62 indexed citations

19.

Ghazanfar, Shila, Dario Strbenac, John T. Ormerod, Jean Yang, & Ellis Patrick. (2018). DCARS: differential correlation across ranked samples. Bioinformatics. 35(5). 823–829. 5 indexed citations

20.

Lim, Su Yin, Jenny Lee, Tuba N. Gide, et al.. (2018). Circulating Cytokines Predict Immune-Related Toxicity in Melanoma Patients Receiving Anti-PD-1–Based Immunotherapy. Clinical Cancer Research. 25(5). 1557–1563. 271 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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