Reza Kalhor

4.0k citations
19 papers · 2.6k indexed · 1 hit paper · h-index 17
  • Biophysics top 1%
    • CRISPR and Genetic Engineering 7
    • Single-cell and spatial transcriptomics 4
    • Advanced biosensing and bioanalysis techniques 4
    • RNA Research and Splicing 3
    • Genomics and Chromatin Dynamics 3
    • Pluripotent Stem Cells Research 2
    • DNA and Biological Computing 2
  • Neurology top 5%
  • Aging top 10%
    • Chromosomal and Genetic Variations 3

Reza Kalhor

19 papers receiving 2.6k citations

Hit Papers

Highly Multiplexed Subcellular RNA Sequencing in Situ6932014202620182022200400600

Peers

Reza Kalhor
Comparison fields: 5 of 115
  • Biophysics 282
  • Molecular Biology 2.2k
  • Cancer Research 351
  • Neurology 138
  • Aging 26
Replace Toshifumi Morimura with:
Toshifumi Morimura Japan
Olivier Pertz Switzerland
Karl‐Johan Leuchowius Sweden
Alon Goren United States
Anna Lyubimova Russia
Kiyoko Fukami Japan
Mark Holt United Kingdom
Maria Fischer Austria
Winfried Wiegraebe United States
Philipp Berger Switzerland
Reza Kalhor relative to Toshifumi Morimura Japan Toshifumi Morimura's profile →
Citations per field
00.5×10×
Toshifumi Morimura · 1×
Citations per year

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

The 25 scholars most cited alongside Reza Kalhor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Reza Kalhor Line = papers co-authored together Reza Kalhor links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20231
2 202213
3 202228
4 202116
5 202118
6 2019169
7 2018226
8 201737
9 2016147
10 2016133
11 2015387
12
Highly Multiplexed Subcellular RNA Sequencing in Situbreakdown →
2014693
13 201318
14 2011409
15 2008171
16 200826
17
Screening of common CYP1B1 mutations in Iranian POAG patients using a microarray-based PrASE protocol.
200833
18 200718
19 200644

About Reza Kalhor

Reza Kalhor is a scholar working on Ophthalmology, Virology, Molecular Biology, Immunology and Allergy and Genetics, having authored 19 papers that have together received 2.6k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (7 papers), Single-cell and spatial transcriptomics (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Chromosomal and Genetic Variations (3 papers), RNA Research and Splicing (3 papers), Genomics and Chromatin Dynamics (3 papers), Pluripotent Stem Cells Research (2 papers) and DNA and Biological Computing (2 papers). The work is most often cited by research in Biophysics (282 citations), Molecular Biology (2.2k citations), Cancer Research (351 citations), Neurology (138 citations) and Aging (26 citations). Reza Kalhor has collaborated with scholars based in United States, Iran and Netherlands. Frequent co-authors include George M. Church, Prashant Mali, Lin Chen, Harianto Tjong, Frank Alber, Nimanthi Jayathilaka, Brian M. Turczyk, Je Hyuk Lee, Evan R Daugharthy and Thomas C. Ferrante. Their work appears in journals such as Science, Nature Protocols, Proceedings of the National Academy of Sciences, Nature Methods and Journal of the American Chemical Society.

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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