Mohammad M. Karimi

4.4k total citations · 2 hit papers
61 papers, 2.7k citations indexed

About

Mohammad M. Karimi is a scholar working on Molecular Biology, Plant Science and Computer Networks and Communications. According to data from OpenAlex, Mohammad M. Karimi has authored 61 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 10 papers in Plant Science and 8 papers in Computer Networks and Communications. Recurrent topics in Mohammad M. Karimi's work include Epigenetics and DNA Methylation (14 papers), Genomics and Chromatin Dynamics (12 papers) and Chromosomal and Genetic Variations (9 papers). Mohammad M. Karimi is often cited by papers focused on Epigenetics and DNA Methylation (14 papers), Genomics and Chromatin Dynamics (12 papers) and Chromosomal and Genetic Variations (9 papers). Mohammad M. Karimi collaborates with scholars based in Canada, United Kingdom and Iran. Mohammad M. Karimi's co-authors include Matthew C. Lorincz, Preeti Goyal, Martin Hirst, Steven J.M. Jones, Julie Brind’Amour, Amir H. Banihashemi, Dixie L. Mager, Yoichi Shinkai, Carol Chen and Diana J. Laird and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Mohammad M. Karimi

55 papers receiving 2.7k citations

Hit Papers

Vitamin C induces Tet-dependent DNA demethylation and a b... 2013 2026 2017 2021 2013 2024 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
Mohammad M. Karimi Canada 22 2.2k 613 401 181 164 61 2.7k
Jiwen Li China 30 2.6k 1.2× 142 0.2× 518 1.3× 267 1.5× 151 0.9× 64 3.0k
Tomoko Kaneko-Tarui Japan 27 1.0k 0.5× 56 0.1× 346 0.9× 109 0.6× 300 1.8× 63 2.5k
Saurabh Agarwal United States 19 769 0.3× 108 0.2× 161 0.4× 207 1.1× 105 0.6× 44 1.3k
Koichi Sato Japan 24 1.3k 0.6× 116 0.2× 166 0.4× 198 1.1× 39 0.2× 60 1.6k
Ashwini Jambhekar United States 19 2.5k 1.1× 129 0.2× 171 0.4× 599 3.3× 148 0.9× 37 2.9k
Nancy Francoeur United States 15 866 0.4× 177 0.3× 148 0.4× 234 1.3× 119 0.7× 24 1.4k
J. Kim United States 15 1.9k 0.9× 484 0.8× 329 0.8× 189 1.0× 154 0.9× 25 2.5k
Nicolas Gévry Canada 25 1.9k 0.8× 192 0.3× 290 0.7× 234 1.3× 263 1.6× 52 2.6k
Matthew H. Wilson United States 26 1.6k 0.7× 225 0.4× 837 2.1× 52 0.3× 204 1.2× 67 2.3k
Zhong‐Wei Zhou China 21 927 0.4× 225 0.4× 159 0.4× 121 0.7× 92 0.6× 35 1.3k

Countries citing papers authored by Mohammad M. Karimi

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad M. Karimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad M. Karimi. 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 Mohammad M. Karimi. The network helps show where Mohammad M. Karimi may publish in the future.

Co-authorship network of co-authors of Mohammad M. Karimi

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad M. Karimi. A scholar is included among the top collaborators of Mohammad M. Karimi 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 Mohammad M. Karimi. Mohammad M. Karimi 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.
2.
Karimi, Mohammad M., et al.. (2024). Safety and efficacy of fecal microbiota transplantation (FMT) as a modern adjuvant therapy in various diseases and disorders: a comprehensive literature review. Frontiers in Immunology. 15. 1439176–1439176. 54 indexed citations breakdown →
4.
Karimi, Mohammad M., et al.. (2024). Association between caffeine intake and erectile dysfunction: a meta-analysis of cohort studies. Journal of Health Population and Nutrition. 43(1). 154–154. 1 indexed citations
6.
Cuartero, Sergi, Adrià Cañellas‐Socias, Sarah Wells, et al.. (2022). Cohesin couples transcriptional bursting probabilities of inducible enhancers and promoters. Nature Communications. 13(1). 4342–4342. 20 indexed citations
7.
Kunowska, Natalia, Greg Crawford, Yi-Fang Wang, et al.. (2021). RUNX1 Regulates a Transcription Program That Affects the Dynamics of Cell Cycle Entry of Naive Resting B Cells. The Journal of Immunology. 207(12). 2976–2991. 10 indexed citations
8.
Román-Trufero, Mónica, Conrado Pedebos, Indiana Magdalou, et al.. (2020). Evolution of an Amniote-Specific Mechanism for Modulating Ubiquitin Signaling via Phosphoregulation of the E2 Enzyme UBE2D3. Molecular Biology and Evolution. 37(7). 1986–2001. 3 indexed citations
9.
Castellano‐Pozo, Maikel, et al.. (2020). Surveillance of cohesin-supported chromosome structure controls meiotic progression. Nature Communications. 11(1). 4345–4345. 21 indexed citations
10.
Babaian, Artem, I. Richard Thompson, Jake Lever, et al.. (2019). LIONS: analysis suite for detecting and quantifying transposable element initiated transcription from RNA-seq. Bioinformatics. 35(19). 3839–3841. 21 indexed citations
11.
García-Luis, Jonay, Luciana Lazar‐Stefanita, Pilar Gutiérrez-Escribano, et al.. (2019). FACT mediates cohesin function on chromatin. Nature Structural & Molecular Biology. 26(10). 970–979. 28 indexed citations
12.
Ward, Michelle C., Siming Zhao, Kaixuan Luo, et al.. (2018). Silencing of transposable elements may not be a major driver of regulatory evolution in primate iPSCs. eLife. 7. 17 indexed citations
13.
Brind’Amour, Julie, Hisato Kobayashi, Kenjiro Shirane, et al.. (2018). LTR retrotransposons transcribed in oocytes drive species-specific and heritable changes in DNA methylation. Nature Communications. 9(1). 3331–3331. 56 indexed citations
14.
Chen, Carol, et al.. (2017). H3S10ph broadly marks early-replicating domains in interphase ESCs and shows reciprocal antagonism with H3K9me2. Genome Research. 28(1). 37–51. 30 indexed citations
15.
Hashemi, Seyed Jalal, et al.. (2015). A case-control study on occult hepatitis B infection in chronic hemodialysis patients from south-west of Iran.. 20(2). 135–140. 2 indexed citations
16.
Babaian, Artem, Mark T. Romanish, Liane Gagnier, et al.. (2015). Onco-exaptation of an endogenous retroviral LTR drives IRF5 expression in Hodgkin lymphoma. Oncogene. 35(19). 2542–2546. 88 indexed citations
17.
Liu, Sheng, Julie Brind’Amour, Mohammad M. Karimi, et al.. (2014). Setdb1 is required for germline development and silencing of H3K9me3-marked endogenous retroviruses in primordial germ cells. Genes & Development. 28(18). 2041–2055. 206 indexed citations
18.
Möller, Torsten, Alireza Heravi‐Moussavi, Jeffrey B. Cheng, et al.. (2013). ALEA: a toolbox for allele-specific epigenomics analysis. Bioinformatics. 30(8). 1172–1174. 18 indexed citations
19.
Maksakova, Irina A., Peter J. Thompson, Preeti Goyal, et al.. (2013). Distinct roles of KAP1, HP1 and G9a/GLP in silencing of the two-cell-specific retrotransposon MERVL in mouse ES cells. Epigenetics & Chromatin. 6(1). 15–15. 135 indexed citations
20.
Gutin, Gregory, et al.. (2010). Minimum cost homomorphisms to locally semicomplete digraphs and quasi-transitive digraphs. The Australasian Journal of Combinatorics. 46. 217–232.

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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