Raheleh Rahbari

5.2k total citations
27 papers, 1.1k citations indexed

About

Raheleh Rahbari is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Raheleh Rahbari has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 17 papers in Cancer Research and 14 papers in Genetics. Recurrent topics in Raheleh Rahbari's work include Cancer Genomics and Diagnostics (16 papers), Chromosomal and Genetic Variations (6 papers) and CRISPR and Genetic Engineering (5 papers). Raheleh Rahbari is often cited by papers focused on Cancer Genomics and Diagnostics (16 papers), Chromosomal and Genetic Variations (6 papers) and CRISPR and Genetic Engineering (5 papers). Raheleh Rahbari collaborates with scholars based in United Kingdom, United States and France. Raheleh Rahbari's co-authors include Matthew E. Hurles, Sarah Lindsay, Michael R. Stratton, Arthur Wüster, Robert J. Hardwick, Andrew D. Morris, Anna F. Dominiczak, David J. Porteous, Blair H. Smith and Ludmil B. Alexandrov and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Raheleh Rahbari

25 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raheleh Rahbari United Kingdom 12 613 504 342 133 127 27 1.1k
Ivo Renkens Netherlands 15 894 1.5× 524 1.0× 306 0.9× 251 1.9× 60 0.5× 21 1.3k
Rahul Karnik United States 14 1.6k 2.6× 294 0.6× 259 0.8× 83 0.6× 167 1.3× 25 1.8k
Jenny Z. Song Australia 22 2.0k 3.3× 389 0.8× 365 1.1× 122 0.9× 69 0.5× 31 2.3k
Anita Göndör Sweden 15 1.9k 3.0× 421 0.8× 338 1.0× 308 2.3× 73 0.6× 27 2.1k
Hongdan Wang China 20 811 1.3× 537 1.1× 296 0.9× 48 0.4× 48 0.4× 95 1.3k
Madhvi B. Upender United States 15 587 1.0× 261 0.5× 215 0.6× 87 0.7× 34 0.3× 21 1000
Achim Breiling Germany 19 2.1k 3.5× 350 0.7× 422 1.2× 181 1.4× 132 1.0× 27 2.5k
Kashyap Dave Finland 11 1.7k 2.8× 302 0.6× 166 0.5× 212 1.6× 60 0.5× 12 2.0k
Chiara Mondello Italy 26 1.1k 1.8× 362 0.7× 218 0.6× 343 2.6× 40 0.3× 77 1.8k
Qingyu Tang United States 7 2.0k 3.2× 376 0.7× 190 0.6× 40 0.3× 149 1.2× 8 2.2k

Countries citing papers authored by Raheleh Rahbari

Since Specialization
Citations

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

Fields of papers citing papers by Raheleh Rahbari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raheleh Rahbari

This figure shows the co-authorship network connecting the top 25 collaborators of Raheleh Rahbari. A scholar is included among the top collaborators of Raheleh Rahbari 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 Raheleh Rahbari. Raheleh Rahbari 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.
Huang, Qin Qin, Rashesh Sanghvi, Daniel Malawsky, et al.. (2025). The impact of ancestral, genetic, and environmental influences on germline de novo mutation rates and spectra. Nature Communications. 16(1). 4527–4527.
2.
Boysen, Gunnar, Ludmil B. Alexandrov, Raheleh Rahbari, et al.. (2025). Investigating the origins of the mutational signatures in cancer. Nucleic Acids Research. 53(1). 2 indexed citations
3.
Jung, Hyunchul, Tsun-Po Yang, Susan Walker, et al.. (2025). Complex de novo structural variants are an underestimated cause of rare disorders. Nature Communications. 16(1). 9528–9528.
4.
Seplyarskiy, Vladimir B., et al.. (2025). Hotspots of human mutation point to clonal expansions in spermatogonia. Nature. 647(8089). 429–435. 2 indexed citations
5.
Sherwood, Kitty, Lynn Martin, Archie Campbell, et al.. (2023). Germline de novo mutations in families with Mendelian cancer syndromes caused by defects in DNA repair. Nature Communications. 14(1). 3636–3636. 7 indexed citations
6.
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
7.
Sanghvi, Rashesh, et al.. (2023). A naturally occurring variant of MBD4 causes maternal germline hypermutation in primates. Genome Research. 33(12). 2053–2059. 7 indexed citations
8.
Kaplanis, Joanna, Rashesh Sanghvi, Matthew D. C. Neville, et al.. (2022). Genetic and chemotherapeutic influences on germline hypermutation. Nature. 605(7910). 503–508. 49 indexed citations
9.
Lobón, Irene, Manuel Solís-Moruno, David Juan, et al.. (2022). Somatic Mutations Detected in Parkinson Disease Could Affect Genes With a Role in Synaptic and Neuronal Processes. SHILAP Revista de lepidopterología. 3. 851039–851039. 9 indexed citations
10.
Saini, Harpreet K., Attila Molnár, James C. Nicholson, et al.. (2022). Small non‐coding RNA sequencing reveals global dysregulation of piwi‐interacting RNA (piRNA) expression in gonadal malignant germ cell tumours. Andrology. 11(4). 738–755. 1 indexed citations
11.
Coorens, Tim, Thomas R. W. Oliver, Rashesh Sanghvi, et al.. (2021). Inherent Mosaicism and Extensive Mutation of Human Placentas. Obstetrical & Gynecological Survey. 76(6). 341–343. 1 indexed citations
12.
Robinson, Philip S., Tim Coorens, Claire Palles, et al.. (2021). Increased somatic mutation burdens in normal human cells due to defective DNA polymerases. Nature Genetics. 53(10). 1434–1442. 94 indexed citations
13.
Robinson, Philip S., Tim Coorens, Claire Palles, et al.. (2021). Increased somatic mutation burdens in normal human cells due to defective DNA polymerases. EUR Research Repository (Erasmus University Rotterdam). 1 indexed citations
14.
Coorens, Tim, Luiza Moore, Philip S. Robinson, et al.. (2021). Extensive phylogenies of human development inferred from somatic mutations. Nature. 597(7876). 387–392. 75 indexed citations
15.
Coorens, Tim, Thomas R. W. Oliver, Rashesh Sanghvi, et al.. (2021). Inherent mosaicism and extensive mutation of human placentas. Nature. 592(7852). 80–85. 120 indexed citations
16.
Lindsay, Sarah, Raheleh Rahbari, Joanna Kaplanis, Thomas Keane, & Matthew E. Hurles. (2019). Similarities and differences in patterns of germline mutation between mice and humans. Nature Communications. 10(1). 4053–4053. 78 indexed citations
17.
King, Daniel A., Alejandro Sifrim, Tomas Fitzgerald, et al.. (2017). Detection of structural mosaicism from targeted and whole-genome sequencing data. Genome Research. 27(10). 1704–1714. 38 indexed citations
18.
Narasimhan, Vagheesh M., Raheleh Rahbari, Aylwyn Scally, et al.. (2017). Estimating the human mutation rate from autozygous segments reveals population differences in human mutational processes. Nature Communications. 8(1). 303–303. 54 indexed citations
19.
Macfarlane, Catriona, et al.. (2013). Transduction-Specific ATLAS Reveals a Cohort of Highly Active L1 Retrotransposons in Human Populations. Human Mutation. 34(7). 974–985. 31 indexed citations
20.
Rahbari, Raheleh, et al.. (2010). IAP Display: A Simple Method to Identify Mouse Strain Specific IAP Insertions. Molecular Biotechnology. 47(3). 243–252. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ivo Renkens Breakdown of academic impact, for papers by Rahul Karnik Breakdown of academic impact, for papers by Jenny Z. Song Breakdown of academic impact, for papers by Anita Göndör Breakdown of academic impact, for papers by Hongdan Wang Breakdown of academic impact, for papers by Madhvi B. Upender Breakdown of academic impact, for papers by Achim Breiling Breakdown of academic impact, for papers by Kashyap Dave Breakdown of academic impact, for papers by Chiara Mondello Breakdown of academic impact, for papers by Qingyu Tang
Rankless by CCL
2026