Anna Kuosmanen

778 total citations
10 papers, 358 citations indexed

About

Anna Kuosmanen is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Anna Kuosmanen has authored 10 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Surgery. Recurrent topics in Anna Kuosmanen's work include Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (4 papers) and RNA modifications and cancer (2 papers). Anna Kuosmanen is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (4 papers) and RNA modifications and cancer (2 papers). Anna Kuosmanen collaborates with scholars based in Finland, Italy and Chile. Anna Kuosmanen's co-authors include Veli Mäkinen, Lauri A. Aaltonen, Eevi Kaasinen, Pia Vahteristo, Esa Pitkänen, Alexandru I. Tomescu, Ralf Bützow, Kati Kämpjärvi, Miika Mehine and Jari Sjöberg and has published in prestigious journals such as New England Journal of Medicine, BMC Bioinformatics and Journal of Medical Genetics.

In The Last Decade

Anna Kuosmanen

10 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna Kuosmanen Finland	6	186	160	114	40	38	10	358
Bingyi Yang China	15	357 1.9×	279 1.7×	102 0.9×	44 1.1×	63 1.7×	32	575
Maria Lycke Sweden	8	49 0.3×	145 0.9×	90 0.8×	39 1.0×	92 2.4×	12	276
Ting‐Tai Yen United States	10	165 0.9×	140 0.9×	172 1.5×	34 0.8×	127 3.3×	17	433
S. Suchetha India	9	71 0.4×	82 0.5×	48 0.4×	25 0.6×	32 0.8×	35	235
Angelika Kaufmann United Kingdom	8	51 0.3×	77 0.5×	92 0.8×	12 0.3×	30 0.8×	14	207
Vanessa Costa Miranda Brazil	6	69 0.4×	74 0.5×	136 1.2×	31 0.8×	48 1.3×	11	298
Huan-Chang Liang Austria	4	22 0.1×	54 0.3×	74 0.6×	24 0.6×	44 1.2×	5	255
Yuanjian Feng United States	6	29 0.2×	136 0.8×	164 1.4×	20 0.5×	69 1.8×	11	274
Gabriel Lindahl Sweden	9	45 0.2×	207 1.3×	107 0.9×	15 0.4×	43 1.1×	22	425
Katherine V. Clark-Knowles Canada	8	22 0.1×	149 0.9×	161 1.4×	31 0.8×	72 1.9×	13	359

Countries citing papers authored by Anna Kuosmanen

Since Specialization

Citations

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

Fields of papers citing papers by Anna Kuosmanen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Kuosmanen

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Taira, Aurora, Kimmo Palin, Anna Kuosmanen, et al.. (2023). Vitamin C boosts DNA demethylation in TET2 germline mutation carriers. Clinical Epigenetics. 15(1). 7–7. 16 indexed citations

2.

Katainen, Riku, Iikki Donner, Davide G. Berta, et al.. (2021). Novel germline variant in the histone demethylase and transcription regulator KDM4C induces a multi-cancer phenotype. Journal of Medical Genetics. 59(7). 644–651. 3 indexed citations

3.

Donner, Iikki, Anna Kuosmanen, Riku Katainen, et al.. (2021). Next-generation sequencing in a large pedigree segregating visceral artery aneurysms suggests potential role of COL4A1/COL4A2 in disease etiology. Vascular. 30(5). 842–847. 2 indexed citations

4.

Mäkinen, Veli, et al.. (2019). Sparse Dynamic Programming on DAGs with Small Width. ACM Transactions on Algorithms. 15(2). 1–21. 11 indexed citations

5.

Kuosmanen, Anna, et al.. (2016). Evaluating approaches to find exon chains based on long reads. Briefings in Bioinformatics. 19(3). bbw137–bbw137. 9 indexed citations

6.

Kuosmanen, Anna, et al.. (2016). On using Longer RNA-seq Reads to Improve Transcript Prediction Accuracy. 272–277. 5 indexed citations

7.

Tomescu, Alexandru I., Travis Gagie, Alexandru Popa, et al.. (2015). Explaining a Weighted DAG with Few Paths for Solving Genome-Guided Multi-Assembly. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 12(6). 1345–1354. 6 indexed citations

8.

Tomescu, Alexandru I., Anna Kuosmanen, Roméo Rizzi, & Veli Mäkinen. (2013). A novel min-cost flow method for estimating transcript expression with RNA-Seq. BMC Bioinformatics. 14(S5). S15–S15. 53 indexed citations

9.

Mehine, Miika, Eevi Kaasinen, Netta Mäkinen, et al.. (2013). Characterization of Uterine Leiomyomas by Whole-Genome Sequencing. New England Journal of Medicine. 369(1). 43–53. 252 indexed citations

10.

Kuosmanen, Anna. (2013). Comparison of spliced alignment software in analyzing RNA- Seq data. Työväentutkimus Vuosikirja. 1 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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