Reza Kalhor

4.0k total citations · 1 hit paper
19 papers, 2.6k citations indexed

About

Reza Kalhor is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Reza Kalhor has authored 19 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Reza Kalhor's work include CRISPR and Genetic Engineering (7 papers), Single-cell and spatial transcriptomics (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Reza Kalhor is often cited by papers focused on CRISPR and Genetic Engineering (7 papers), Single-cell and spatial transcriptomics (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Reza Kalhor collaborates with scholars based in United States, Iran and Netherlands. Reza Kalhor's co-authors include George M. Church, Prashant Mali, Lin Chen, Frank Alber, Harianto Tjong, Nimanthi Jayathilaka, John Aach, Je Hyuk Lee, Thomas C. Ferrante and Jonathan Scheiman and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Reza Kalhor

19 papers receiving 2.6k citations

Hit Papers

Highly Multiplexed Subcellular RNA Sequencing in Situ 2014 2026 2018 2022 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Reza Kalhor United States 17 2.2k 351 283 282 246 19 2.6k
Caleb Weinreb United States 17 2.3k 1.0× 397 1.1× 189 0.7× 380 1.3× 94 0.4× 25 3.3k
Sandy Klemm United States 12 2.2k 1.0× 459 1.3× 236 0.8× 100 0.4× 229 0.9× 15 2.7k
Toshifumi Morimura Japan 20 1.6k 0.7× 190 0.5× 210 0.7× 296 1.0× 65 0.3× 32 2.6k
Alon Goren United States 21 3.3k 1.5× 638 1.8× 506 1.8× 136 0.5× 193 0.8× 35 4.0k
Daniel Ramsköld Sweden 20 3.5k 1.6× 1.1k 3.1× 479 1.7× 209 0.7× 163 0.7× 32 4.5k
Kiyoko Fukami Japan 12 2.2k 1.0× 172 0.5× 273 1.0× 325 1.2× 95 0.4× 14 3.3k
Sergi Regot United States 18 1.9k 0.9× 287 0.8× 140 0.5× 191 0.7× 112 0.5× 27 2.3k
Olivier Pertz Switzerland 31 2.9k 1.3× 171 0.5× 127 0.4× 513 1.8× 119 0.5× 71 4.6k
Karl‐Johan Leuchowius Sweden 11 2.3k 1.0× 203 0.6× 192 0.7× 117 0.4× 52 0.2× 15 3.2k
Fuchou Tang United Kingdom 6 2.6k 1.2× 1.1k 3.0× 276 1.0× 239 0.8× 135 0.5× 7 3.1k

Countries citing papers authored by Reza Kalhor

Since Specialization
Citations

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

Fields of papers citing papers by Reza Kalhor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reza Kalhor

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

All Works

19 of 19 papers shown
1.
Marín-González, Alberto, et al.. (2023). Multiplexing Cas9 activity with multi-target CRISPR. Biophysical Journal. 122(3). 307a–307a. 1 indexed citations
2.
Bell, Claire, et al.. (2022). Quantitative fate mapping: A general framework for analyzing progenitor state dynamics via retrospective lineage barcoding. Cell. 185(24). 4604–4620.e32. 13 indexed citations
3.
Zou, Roger S., Alberto Marín-González, Yang Liu, et al.. (2022). Massively parallel genomic perturbations with multi-target CRISPR interrogates Cas9 activity and DNA repair at endogenous sites. Nature Cell Biology. 24(9). 1433–1444. 28 indexed citations
4.
Leeper, Kathleen, Kian Kalhor, Andyna Vernet, et al.. (2021). Lineage barcoding in mice with homing CRISPR. Nature Protocols. 16(4). 2088–2108. 16 indexed citations
5.
Bhan, Namita, Jonathan Strutz, Joshua I. Glaser, et al.. (2021). Recording Temporal Signals with Minutes Resolution Using Enzymatic DNA Synthesis. Journal of the American Chemical Society. 143(40). 16630–16640. 18 indexed citations
6.
Lee, Henry H., Reza Kalhor, Naveen Goela, Jean Bolot, & George M. Church. (2019). Terminator-free template-independent enzymatic DNA synthesis for digital information storage. Nature Communications. 10(1). 2383–2383. 169 indexed citations
7.
Kalhor, Reza, Kian Kalhor, Kathleen Leeper, et al.. (2018). Developmental barcoding of whole mouse via homing CRISPR. Science. 361(6405). 226 indexed citations
8.
Kalhor, Reza, et al.. (2017). Conserved forkhead dimerization motif controls DNA replication timing and spatial organization of chromosomes in S. cerevisiae. Proceedings of the National Academy of Sciences. 114(12). E2411–E2419. 37 indexed citations
9.
Kalhor, Reza, Prashant Mali, & George M. Church. (2016). Rapidly evolving homing CRISPR barcodes. Nature Methods. 14(2). 195–200. 147 indexed citations
10.
Tjong, Harianto, Wenyuan Li, Reza Kalhor, et al.. (2016). Population-based 3D genome structure analysis reveals driving forces in spatial genome organization. Proceedings of the National Academy of Sciences. 113(12). E1663–72. 133 indexed citations
11.
Lee, Je Hyuk, Evan R Daugharthy, Jonathan Scheiman, et al.. (2015). Fluorescent in situ sequencing (FISSEQ) of RNA for gene expression profiling in intact cells and tissues. Nature Protocols. 10(3). 442–458. 387 indexed citations
12.
Lee, Je Hyuk, Evan R Daugharthy, Jonathan Scheiman, et al.. (2014). Highly Multiplexed Subcellular RNA Sequencing in Situ. Science. 343(6177). 1360–1363. 693 indexed citations breakdown →
13.
Marblestone, Adam, Mikhail G. Shapiro, Joshua I. Glaser, et al.. (2013). Physical principles for scalable neural recording. Frontiers in Computational Neuroscience. 7. 137–137. 18 indexed citations
14.
Kalhor, Reza, Harianto Tjong, Nimanthi Jayathilaka, Frank Alber, & Lin Chen. (2011). Genome architectures revealed by tethered chromosome conformation capture and population-based modeling. Nature Biotechnology. 30(1). 90–98. 409 indexed citations
15.
Shojaee, Seyedmehdi, Farzad Sina, Setareh Sadat Banihosseini, et al.. (2008). Genome-wide Linkage Analysis of a Parkinsonian-Pyramidal Syndrome Pedigree by 500 K SNP Arrays. The American Journal of Human Genetics. 82(6). 1375–1384. 171 indexed citations
16.
Bates, D.L., Yongqing Wu, Reza Kalhor, et al.. (2008). Crystal Structure of NFAT Bound to the HIV-1 LTR Tandem κB Enhancer Element. Structure. 16(5). 684–694. 26 indexed citations
17.
Kalhor, Reza, Seyed Jalal Zargar, Shahin Yazdani, et al.. (2008). Screening of common CYP1B1 mutations in Iranian POAG patients using a microarray-based PrASE protocol.. PubMed. 14. 2349–56. 33 indexed citations
18.
Alavi, Afagh, Elahe Elahi, Fahimeh Asadi Amoli, et al.. (2007). Four Mutations (Three Novel, One Founder) inTACSTD2among Iranian GDLD Patients. Investigative Ophthalmology & Visual Science. 48(10). 4490–4490. 18 indexed citations
19.
Elahi, Elahe, Reza Kalhor, Setareh Sadat Banihosseini, et al.. (2006). Homozygous Missense Mutation in Fibulin-5 in an Iranian Autosomal Recessive Cutis Laxa Pedigree and Associated Haplotype. Journal of Investigative Dermatology. 126(7). 1506–1509. 44 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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