M. Azim Surani

50.5k total citations · 12 hit papers
334 papers, 36.9k citations indexed

About

M. Azim Surani is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, M. Azim Surani has authored 334 papers receiving a total of 36.9k indexed citations (citations by other indexed papers that have themselves been cited), including 288 papers in Molecular Biology, 173 papers in Genetics and 60 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in M. Azim Surani's work include Epigenetics and DNA Methylation (160 papers), Pluripotent Stem Cells Research (129 papers) and Genetic Syndromes and Imprinting (113 papers). M. Azim Surani is often cited by papers focused on Epigenetics and DNA Methylation (160 papers), Pluripotent Stem Cells Research (129 papers) and Genetic Syndromes and Imprinting (113 papers). M. Azim Surani collaborates with scholars based in United Kingdom, United States and Japan. M. Azim Surani's co-authors include Sheila C. Barton, M. L. Norris, S. C. Barton, Petra Hájková, Katsuhiko Hayashi, Kaiqin Lao, Wolf Reik, Jamie A. Hackett, Anne C. Ferguson‐Smith and Fuchou Tang and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

M. Azim Surani

331 papers receiving 36.0k citations

Hit Papers

mRNA-Seq whole-transcript... 1984 2026 1998 2012 2009 1984 2002 2008 2005 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Azim Surani United Kingdom 96 31.3k 14.1k 6.3k 4.7k 3.5k 334 36.9k
Wolf Reik United Kingdom 117 43.9k 1.4× 17.2k 1.2× 11.3k 1.8× 4.5k 1.0× 7.3k 2.1× 271 52.2k
Stylianos E. Antonarakis Switzerland 102 21.9k 0.7× 13.3k 0.9× 3.1k 0.5× 3.0k 0.6× 3.4k 1.0× 602 40.8k
Janet Rossant Canada 130 49.6k 1.6× 11.9k 0.8× 3.5k 0.6× 5.4k 1.1× 4.3k 1.2× 397 61.8k
Adrian Bird United Kingdom 100 51.3k 1.6× 21.6k 1.5× 3.9k 0.6× 1.3k 0.3× 4.2k 1.2× 232 61.8k
Argiris Efstratiadis United States 73 20.1k 0.6× 8.5k 0.6× 3.2k 0.5× 1.1k 0.2× 2.2k 0.6× 120 29.0k
Alexander Meissner United States 75 31.1k 1.0× 7.0k 0.5× 2.5k 0.4× 1.2k 0.3× 4.1k 1.2× 174 36.0k
Jörn Walter Germany 53 14.9k 0.5× 6.6k 0.5× 3.7k 0.6× 2.0k 0.4× 1.1k 0.3× 153 18.4k
Elizabeth J. Robertson United States 80 20.8k 0.7× 6.7k 0.5× 1.8k 0.3× 1.7k 0.4× 1.3k 0.4× 171 26.4k
Timothy H. Bestor United States 60 22.7k 0.7× 8.2k 0.6× 3.1k 0.5× 1.3k 0.3× 1.6k 0.5× 116 25.6k
Stuart H. Orkin United States 157 51.2k 1.6× 10.2k 0.7× 3.9k 0.6× 2.3k 0.5× 6.0k 1.7× 539 76.4k

Countries citing papers authored by M. Azim Surani

Since Specialization
Citations

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

Fields of papers citing papers by M. Azim Surani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Azim Surani

This figure shows the co-authorship network connecting the top 25 collaborators of M. Azim Surani. A scholar is included among the top collaborators of M. Azim Surani 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 M. Azim Surani. M. Azim Surani 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.
Gross‐Thebing, Theresa, et al.. (2025). The emergence of human primordial germ cell–like cells in stem cell–derived gastruloids. Science Advances. 11(13). eado1350–eado1350. 3 indexed citations
2.
Lee, Sun-Min & M. Azim Surani. (2024). Epigenetic reprogramming in mouse and human primordial germ cells. Experimental & Molecular Medicine. 56(12). 2578–2587. 10 indexed citations
3.
Irie, Naoko, Toshihiro Kobayashi, & M. Azim Surani. (2024). Human Primordial Germ Cell-Like Cell Induction from Pluripotent Stem Cells by SOX17 and PRDM1 Expression. Methods in molecular biology. 2770. 87–97. 1 indexed citations
4.
Penfold, Christopher A., Michael D. Morgan, Walfred W. C. Tang, et al.. (2023). Origin and segregation of the human germline. Life Science Alliance. 6(8). e202201706–e202201706. 23 indexed citations
5.
Sang, Fei, Sarah Withey, Walfred W. C. Tang, et al.. (2021). Specification and epigenomic resetting of the pig germline exhibit conservation with the human lineage. Cell Reports. 34(6). 108735–108735. 36 indexed citations
6.
Hackett, Jamie A., Yun Huang, Ufuk Günesdogan, et al.. (2018). Tracing the transitions from pluripotency to germ cell fate with CRISPR screening. Nature Communications. 9(1). 4292–4292. 49 indexed citations
7.
Penfold, Christopher A., Anastasiya Sybirna, John E. Reid, et al.. (2018). Branch-recombinant Gaussian processes for analysis of perturbations in biological time series. Bioinformatics. 34(17). i1005–i1013. 6 indexed citations
8.
Borensztein, Maud, Ikuhiro Okamoto, Laurène Syx, et al.. (2017). Contribution of epigenetic landscapes and transcription factors to X-chromosome reactivation in the inner cell mass. Nature Communications. 8(1). 1297–1297. 47 indexed citations
9.
Borensztein, Maud, Laurène Syx, Katia Ancelin, et al.. (2017). Xist-dependent imprinted X inactivation and the early developmental consequences of its failure. Nature Structural & Molecular Biology. 24(3). 226–233. 116 indexed citations
10.
Irie, Naoko, Leehee Weinberger, Walfred W. C. Tang, et al.. (2014). SOX17 Is a Critical Specifier of Human Primordial Germ Cell Fate. Cell. 160(1-2). 253–268. 588 indexed citations breakdown →
11.
Hackett, Jamie A., Roopsha Sengupta, Jan J Żylicz, et al.. (2012). Germline DNA Demethylation Dynamics and Imprint Erasure Through 5-Hydroxymethylcytosine. Science. 339(6118). 448–452. 570 indexed citations breakdown →
12.
Hájková, Petra, et al.. (2010). Genome-Wide Reprogramming in the Mouse Germ Line Entails the Base Excision Repair Pathway. Science. 329(5987). 78–82. 358 indexed citations
13.
Hayashi, Katsuhiko & M. Azim Surani. (2009). Self-renewing epiblast stem cells exhibit continual delineation of germ cells with epigenetic reprogramming in vitro. Development. 136(21). 3549–3556. 141 indexed citations
15.
Western, Patrick, Jocelyn van den Bergen, Petra Hájková, et al.. (2005). Analysis of Esg1 Expression in Pluripotent Cells and the Germline Reveals Similarities with Oct4 and Sox2 and Differences Between Human Pluripotent Cell Lines. Stem Cells. 23(10). 1436–1442. 60 indexed citations
16.
Saitou, Mitinori, et al.. (2003). The Fragilis interferon-inducible gene family of transmembrane proteins is associated with germ cell specification in mice. BMC Developmental Biology. 3(1). 1–1. 130 indexed citations
17.
Arney, Katharine L., Siqin Bao, Andrew J. Bannister, Tony Kouzarides, & M. Azim Surani. (2002). Histone methylation defines epigenetic asymmetry in the mouse zygote. The International Journal of Developmental Biology. 46(3). 317–320. 167 indexed citations
19.
Gore‐Langton, Robert E. & M. Azim Surani. (1976). Uterine luminal proteins of mice. Reproduction. 46(1). 271–274. 20 indexed citations
20.
Surani, M. Azim. (1976). Uterine luminal proteins at the time of implantation in rats. Reproduction. 48(1). 141–145. 21 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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