Sahand Hormoz

2.8k total citations
35 papers, 1.5k citations indexed

About

Sahand Hormoz is a scholar working on Molecular Biology, Genetics and Computational Mechanics. According to data from OpenAlex, Sahand Hormoz has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Genetics and 3 papers in Computational Mechanics. Recurrent topics in Sahand Hormoz's work include Single-cell and spatial transcriptomics (8 papers), Gene Regulatory Network Analysis (7 papers) and CRISPR and Genetic Engineering (4 papers). Sahand Hormoz is often cited by papers focused on Single-cell and spatial transcriptomics (8 papers), Gene Regulatory Network Analysis (7 papers) and CRISPR and Genetic Engineering (4 papers). Sahand Hormoz collaborates with scholars based in United States, United Kingdom and China. Sahand Hormoz's co-authors include Michael B. Elowitz, Michael P. Brenner, Shriram Ramanathan, James M. Linton, Zakary S. Singer, Long Cai, Mark W. Budde, Kirsten L. Frieda, Ke-Huan K. Chow and Joonhyuk Choi and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Sahand Hormoz

33 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sahand Hormoz United States 16 796 237 172 154 147 35 1.5k
Jianhua Xing United States 25 1.4k 1.8× 88 0.4× 390 2.3× 77 0.5× 136 0.9× 66 2.6k
Ardan Patwardhan United Kingdom 22 1.2k 1.5× 84 0.4× 152 0.9× 81 0.5× 173 1.2× 62 2.1k
Marcus Braun Germany 20 935 1.2× 163 0.7× 105 0.6× 115 0.7× 59 0.4× 51 1.8k
Thomas Mangeat France 16 528 0.7× 188 0.8× 149 0.9× 71 0.5× 32 0.2× 37 1.5k
Andrew J. Hudson United Kingdom 23 382 0.5× 204 0.9× 482 2.8× 171 1.1× 23 0.2× 73 1.6k
А. В. Иванов Russia 18 678 0.9× 124 0.5× 126 0.7× 62 0.4× 44 0.3× 189 1.7k
John P. Langmore United States 23 1.7k 2.1× 189 0.8× 243 1.4× 45 0.3× 180 1.2× 58 3.0k
Isaac T. S. Li Canada 21 1.1k 1.4× 114 0.5× 331 1.9× 52 0.3× 38 0.3× 58 1.9k
Seung Joong Kim United States 25 1.9k 2.3× 389 1.6× 558 3.2× 438 2.8× 110 0.7× 47 2.8k
F.P. Ottensmeyer Canada 31 1.2k 1.5× 92 0.4× 130 0.8× 90 0.6× 162 1.1× 98 2.5k

Countries citing papers authored by Sahand Hormoz

Since Specialization
Citations

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

Fields of papers citing papers by Sahand Hormoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sahand Hormoz

This figure shows the co-authorship network connecting the top 25 collaborators of Sahand Hormoz. A scholar is included among the top collaborators of Sahand Hormoz 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 Sahand Hormoz. Sahand Hormoz 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.
Hormoz, Sahand, Vijay G. Sankaran, & Ann Mullally. (2024). Evolution of myeloproliferative neoplasms from normal blood stem cells. Haematologica. 110(4). 840–849.
2.
Cooke, Samuel F., et al.. (2024). ProBac-seq, a bacterial single-cell RNA sequencing methodology using droplet microfluidics and large oligonucleotide probe sets. Nature Protocols. 19(10). 2939–2966. 7 indexed citations
3.
Muyas, Francesc, Carolin M. Sauer, Jose Espejo Valle-Inclán, et al.. (2023). De novo detection of somatic mutations in high-throughput single-cell profiling data sets. Nature Biotechnology. 42(5). 758–767. 43 indexed citations
4.
Wang, Andong, Yang Han, Sean G. Megason, et al.. (2022). A novel deep learning-based 3D cell segmentation framework for future image-based disease detection. Scientific Reports. 12(1). 342–342. 40 indexed citations
5.
Sritharan, Duluxan, Shu Wang, & Sahand Hormoz. (2021). Computing the Riemannian curvature of image patch and single-cell RNA sequencing data manifolds using extrinsic differential geometry. Proceedings of the National Academy of Sciences. 118(29). 2 indexed citations
6.
Egeren, Debra Van, Shichen Liu, Maximilian Nguyen, et al.. (2021). Transcriptional differences between JAK2-V617F and wild-type bone marrow cells in patients with myeloproliferative neoplasms. Experimental Hematology. 107. 14–19. 8 indexed citations
7.
Liu, Shichen, Maximilian Nguyen, & Sahand Hormoz. (2021). Integrating readout of somatic mutations in individual cells with single-cell transcriptional profiling. STAR Protocols. 2(3). 100673–100673. 1 indexed citations
8.
Bowling, Sarah, Duluxan Sritharan, Fernando G. Osorio, et al.. (2020). An Engineered CRISPR-Cas9 Mouse Line for Simultaneous Readout of Lineage Histories and Gene Expression Profiles in Single Cells. Cell. 181(7). 1693–1694. 39 indexed citations
9.
Bowling, Sarah, Duluxan Sritharan, Fernando G. Osorio, et al.. (2020). An Engineered CRISPR-Cas9 Mouse Line for Simultaneous Readout of Lineage Histories and Gene Expression Profiles in Single Cells. Cell. 181(6). 1410–1422.e27. 194 indexed citations
10.
Frieda, Kirsten L., James M. Linton, Sahand Hormoz, et al.. (2016). Synthetic recording and in situ readout of lineage information in single cells. Nature. 541(7635). 107–111. 295 indexed citations
11.
Hormoz, Sahand, Zakary S. Singer, James M. Linton, et al.. (2016). Inferring Cell-State Transition Dynamics from Lineage Trees and Endpoint Single-Cell Measurements. Cell Systems. 3(5). 419–433.e8. 60 indexed citations
12.
Biehl, Michael, Peter Sadowski, Gyan Bhanot, et al.. (2014). Inter-species prediction of protein phosphorylation in the sbv IMPROVER species translation challenge. Bioinformatics. 31(4). 453–461. 6 indexed citations
13.
Hormoz, Sahand, Gyan Bhanot, Michael Biehl, et al.. (2014). Inter-species inference of gene set enrichment in lung epithelial cells from proteomic and large transcriptomic datasets. Bioinformatics. 31(4). 492–500. 3 indexed citations
14.
Romero, Roberto, Michael Biehl, Erhan Bilal, et al.. (2014). Predicting protein phosphorylation from gene expression: top methods from the IMPROVER Species Translation Challenge. Bioinformatics. 31(4). 462–470. 12 indexed citations
15.
Hormoz, Sahand. (2013). Amino acid composition of proteins reduces deleterious impact of mutations. Scientific Reports. 3(1). 2919–2919. 51 indexed citations
16.
Hormoz, Sahand. (2013). Stem cell population asymmetry can reduce rate of replicative aging. Journal of Theoretical Biology. 331. 19–27. 9 indexed citations
17.
Hormoz, Sahand. (2013). Cross Talk and Interference Enhance Information Capacity of a Signaling Pathway. Biophysical Journal. 104(5). 1170–1180. 9 indexed citations
18.
Hormoz, Sahand. (2013). Quantum collapse and the second law of thermodynamics. Physical Review E. 87(2). 22129–22129. 6 indexed citations
19.
Zeravcic, Zorana, et al.. (2012). You can always get what you want. Bulletin of the American Physical Society. 1 indexed citations
20.
Belkin, Mikhail A., Jonathan A. Fan, Sahand Hormoz, et al.. (2008). Terahertz quantum cascade lasers with copper metal-metal waveguides operating up to 178 K. Optics Express. 16(5). 3242–3242. 159 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jianhua Xing Breakdown of academic impact, for papers by Ardan Patwardhan Breakdown of academic impact, for papers by Marcus Braun Breakdown of academic impact, for papers by Thomas Mangeat Breakdown of academic impact, for papers by Andrew J. Hudson Breakdown of academic impact, for papers by А. В. Иванов Breakdown of academic impact, for papers by John P. Langmore Breakdown of academic impact, for papers by Isaac T. S. Li Breakdown of academic impact, for papers by Seung Joong Kim Breakdown of academic impact, for papers by F.P. Ottensmeyer
Rankless by CCL
2026