Igor Adameyko

11.9k total citations
96 papers, 3.3k citations indexed

About

Igor Adameyko is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Igor Adameyko has authored 96 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 15 papers in Cellular and Molecular Neuroscience and 14 papers in Genetics. Recurrent topics in Igor Adameyko's work include Single-cell and spatial transcriptomics (15 papers), Developmental Biology and Gene Regulation (14 papers) and Congenital heart defects research (13 papers). Igor Adameyko is often cited by papers focused on Single-cell and spatial transcriptomics (15 papers), Developmental Biology and Gene Regulation (14 papers) and Congenital heart defects research (13 papers). Igor Adameyko collaborates with scholars based in Sweden, Austria and United States. Igor Adameyko's co-authors include Patrik Ernfors, François Lallemend, Alessandro Furlan, Kaj Fried, Maria Eleni Kastriti, Dmitry Usoskin, Markéta Kaucká, Thomas Müller, Carmen Birchmeier and Vyacheslav Dyachuk and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Igor Adameyko

92 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Igor Adameyko Sweden 31 1.6k 587 458 423 366 96 3.3k
Stefan Liebau Germany 32 1.9k 1.2× 785 1.3× 194 0.4× 358 0.8× 279 0.8× 83 3.1k
François Lallemend Sweden 25 1.1k 0.7× 602 1.0× 369 0.8× 182 0.4× 215 0.6× 41 2.4k
Angeliki Louvi United States 31 2.4k 1.5× 520 0.9× 378 0.8× 291 0.7× 545 1.5× 43 4.0k
Stefan Britsch Germany 22 2.1k 1.3× 1.1k 1.9× 447 1.0× 422 1.0× 176 0.5× 46 3.6k
Kenji Tanigaki Japan 29 2.7k 1.7× 439 0.7× 408 0.9× 294 0.7× 145 0.4× 47 4.8k
Fernando Jiménez United States 29 2.1k 1.3× 823 1.4× 285 0.6× 559 1.3× 508 1.4× 56 3.9k
Alexandre Pattyn France 25 2.4k 1.5× 1.0k 1.8× 469 1.0× 406 1.0× 248 0.7× 36 4.1k
Élisabeth Dupin France 36 3.0k 1.9× 681 1.2× 713 1.6× 627 1.5× 190 0.5× 53 4.4k
Jeremy S. Dasen United States 31 3.2k 2.0× 884 1.5× 761 1.7× 292 0.7× 176 0.5× 49 4.8k
Hong Gu China 8 2.5k 1.6× 1.6k 2.8× 403 0.9× 413 1.0× 110 0.3× 16 5.3k

Countries citing papers authored by Igor Adameyko

Since Specialization
Citations

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

Fields of papers citing papers by Igor Adameyko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Adameyko

This figure shows the co-authorship network connecting the top 25 collaborators of Igor Adameyko. A scholar is included among the top collaborators of Igor Adameyko 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 Igor Adameyko. Igor Adameyko 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.
Sarkar, Hirak, Jörg Otte, Thale Kristin Olsen, et al.. (2025). Comparative Single-Cell Transcriptomics of Human Neuroblastoma and Preclinical Models Reveals Conservation of an Adrenergic Cell State. Cancer Research. 85(6). 1015–1034. 2 indexed citations
2.
Kamenev, Dmitrii, Polina Kameneva, & Igor Adameyko. (2025). The role of microheterogeneity in cell fate decisions in neural progenitors and neural crest. Current Opinion in Neurobiology. 92. 103031–103031. 1 indexed citations
3.
Santambrogio, Alice, Thea L. Willis, Ilona Berger, et al.. (2025). SOX2+ sustentacular cells are stem cells of the postnatal adrenal medulla. Nature Communications. 16(1). 16–16. 4 indexed citations
4.
Bouderlique, Thibault, Daniel Abed‐Navandi, Michael Schagerl, et al.. (2024). Confocal laser scanning microscopy reveals species-specific differences in distribution of fluorescent proteins in coral tissues. Frontiers in Marine Science. 11.
5.
Jevans, Benjamin, Restuadi Restuadi, Dale Moulding, et al.. (2024). Human enteric nervous system progenitor transplantation improves functional responses in Hirschsprung disease patient-derived tissue. Gut. 73(9). 1441–1453. 2 indexed citations
6.
Gao, Teng, Maria Eleni Kastriti, Viktor Ljungström, et al.. (2023). A pan-tissue survey of mosaic chromosomal alterations in 948 individuals. Nature Genetics. 55(11). 1901–1911. 5 indexed citations
7.
Li, Xiaofei, Žaneta Andrusivová, Paulo Czarnewski, et al.. (2023). Profiling spatiotemporal gene expression of the developing human spinal cord and implications for ependymoma origin. Nature Neuroscience. 26(5). 891–901. 22 indexed citations
8.
Sunadome, Kazunori, Alek Erickson, Delf Kah, et al.. (2023). Directionality of developing skeletal muscles is set by mechanical forces. Nature Communications. 14(1). 3060–3060. 24 indexed citations
9.
10.
Kastriti, Maria Eleni, Louis Faure, Thibault Bouderlique, et al.. (2022). Schwann cell precursors represent a neural crest‐like state with biased multipotency. The EMBO Journal. 41(17). e108780–e108780. 63 indexed citations
11.
Bouderlique, Thibault, Julian Petersen, Louis Faure, et al.. (2022). Surface flow for colonial integration in reef-building corals. Current Biology. 32(12). 2596–2609.e7. 14 indexed citations
12.
Křivánek, Jan, et al.. (2021). Rapid Isolation of Single Cells from Mouse and Human Teeth. Journal of Visualized Experiments.
13.
Tesařová, Markéta, et al.. (2021). X-ray microtomography–based atlas of mouse cranial development. GigaScience. 10(3). 8 indexed citations
14.
Faure, Louis, Yiqiao Wang, Maria Eleni Kastriti, et al.. (2020). Single cell RNA sequencing identifies early diversity of sensory neurons forming via bi-potential intermediates. Nature Communications. 11(1). 4175–4175. 44 indexed citations
15.
Romanov, Roman A., Evgenii O. Tretiakov, Maria Eleni Kastriti, et al.. (2020). Molecular design of hypothalamus development. Nature. 582(7811). 246–252. 102 indexed citations
16.
Abdo, Hind, Laura Calvo-Enrique, José A. Martínez‐López, et al.. (2019). Specialized cutaneous Schwann cells initiate pain sensation. Science. 365(6454). 695–699. 225 indexed citations
17.
Tesařová, Markéta, Églantine Heude, Glenda Comai, et al.. (2019). An interactive and intuitive visualisation method for X-ray computed tomography data of biological samples in 3D Portable Document Format. Scientific Reports. 9(1). 14896–14896. 13 indexed citations
18.
Romanov, Roman A., Robert S. Lasher, Olga A. Rogachevskaja, et al.. (2018). Chemical synapses without synaptic vesicles: Purinergic neurotransmission through a CALHM1 channel-mitochondrial signaling complex. Science Signaling. 11(529). 64 indexed citations
19.
Furlan, Alessandro, Vyacheslav Dyachuk, Maria Eleni Kastriti, et al.. (2017). Multipotent peripheral glial cells generate neuroendocrine cells of the adrenal medulla. Science. 357(6346). 222 indexed citations
20.
Dyachuk, Vyacheslav, Alessandro Furlan, Nina Kaukua, et al.. (2014). Parasympathetic neurons originate from nerve-associated peripheral glial progenitors. Science. 345(6192). 82–87. 168 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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