Eerik Aunin

560 total citations
10 papers, 282 citations indexed

About

Eerik Aunin is a scholar working on Cell Biology, Neurology and Molecular Biology. According to data from OpenAlex, Eerik Aunin has authored 10 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cell Biology, 3 papers in Neurology and 2 papers in Molecular Biology. Recurrent topics in Eerik Aunin's work include Autoimmune Neurological Disorders and Treatments (3 papers), melanin and skin pigmentation (3 papers) and Cellular transport and secretion (3 papers). Eerik Aunin is often cited by papers focused on Autoimmune Neurological Disorders and Treatments (3 papers), melanin and skin pigmentation (3 papers) and Cellular transport and secretion (3 papers). Eerik Aunin collaborates with scholars based in United Kingdom, Netherlands and Estonia. Eerik Aunin's co-authors include Dies Meijer, Linde Kegel, John R. Bermingham, Sulev Kõks, Eero Vasar, Ranno Rätsep, Helgi Silm, Maire Karelson, Külli Kingo and Andrei N. Mardaryev and has published in prestigious journals such as The Journal of Cell Biology, Development and Scientific Reports.

In The Last Decade

Eerik Aunin

10 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eerik Aunin United Kingdom	8	123	91	54	44	44	10	282
Morié Ishida Japan	12	321 2.6×	262 2.9×	26 0.5×	27 0.6×	47 1.1×	17	443
Päivi H. Lindfors Finland	10	88 0.7×	330 3.6×	16 0.3×	56 1.3×	8 0.2×	10	498
Maria P. Kotini Switzerland	8	113 0.9×	209 2.3×	33 0.6×	27 0.6×	6 0.1×	11	341
Xuanzhu Liu China	11	123 1.0×	224 2.5×	13 0.2×	18 0.4×	13 0.3×	14	333
Burcu Balcı-Hayta Türkiye	10	140 1.1×	383 4.2×	33 0.6×	75 1.7×	24 0.5×	19	489
Lena Harder Germany	6	42 0.3×	258 2.8×	42 0.8×	57 1.3×	10 0.2×	8	385
Nina Schlipf Germany	9	118 1.0×	82 0.9×	16 0.3×	97 2.2×	15 0.3×	16	252
Alain Thibodeau Canada	9	93 0.8×	280 3.1×	28 0.5×	31 0.7×	25 0.6×	13	379
D. Chambers United Kingdom	10	358 2.9×	314 3.5×	50 0.9×	39 0.9×	8 0.2×	24	596
Ricardo Romero Spain	6	22 0.2×	252 2.8×	62 1.1×	77 1.8×	17 0.4×	6	497

Countries citing papers authored by Eerik Aunin

Since Specialization

Citations

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

Fields of papers citing papers by Eerik Aunin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eerik Aunin

This figure shows the co-authorship network connecting the top 25 collaborators of Eerik Aunin. A scholar is included among the top collaborators of Eerik Aunin 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 Eerik Aunin. Eerik Aunin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Eshed‐Eisenbach, Yael, Martine Jaegle, Eerik Aunin, et al.. (2023). LGI3/2–ADAM23 interactions cluster Kv1 channels in myelinated axons to regulate refractory period. The Journal of Cell Biology. 222(4). 10 indexed citations

Aunin, Eerik, Matthew Berriman, & Adam J. Reid. (2022). Characterising genome architectures using genome decomposition analysis. BMC Genomics. 23(1). 398–398. 2 indexed citations

Aunin, Eerik, Ulrike Böhme, Theo Sanderson, et al.. (2020). Genomic and transcriptomic evidence for descent from Plasmodium and loss of blood schizogony in Hepatocystis parasites from naturally infected red colobus monkeys. PLoS Pathogens. 16(8). e1008717–e1008717. 17 indexed citations

Aunin, Eerik, et al.. (2017). Exploring a Role for Regulatory miRNAs In Wound Healing during Ageing:Involvement of miR-200c in wound repair. Scientific Reports. 7(1). 3257–3257. 45 indexed citations

Kegel, Linde, Martine Jaegle, Siska Driegen, et al.. (2014). Functional phylogenetic analysis of LGI proteins identifies an interaction motif crucial for myelination. Journal of Cell Science. 127(8). e1–e1. 2 indexed citations

Kegel, Linde, Martine Jaegle, Siska Driegen, et al.. (2014). Functional phylogenetic analysis of LGI proteins identifies an interaction motif crucial for myelination. Development. 141(8). 1749–1756. 26 indexed citations

Kegel, Linde, Eerik Aunin, Dies Meijer, & John R. Bermingham. (2013). LGI Proteins in the Nervous System. ASN NEURO. 5(3). 167–81. 68 indexed citations

Philips, Mari‐Anne, Külli Kingo, Maire Karelson, et al.. (2010). Promoter polymorphism -119C/G in MYG1 (C12orf10) gene is related to vitiligo susceptibility and Arg4Gln affects mitochondrial entrance of Myg1. BMC Medical Genetics. 11(1). 56–56. 19 indexed citations

Kingo, Külli, Eerik Aunin, Maire Karelson, et al.. (2008). Expressional changes in the intracellular melanogenesis pathways and their possible role the pathogenesis of vitiligo. Journal of Dermatological Science. 52(1). 39–46. 45 indexed citations

10.

Kingo, Külli, Eerik Aunin, Maire Karelson, et al.. (2007). Gene expression analysis of melanocortin system in vitiligo. Journal of Dermatological Science. 48(2). 113–122. 48 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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