Ana Kozomara

14.3k total citations · 3 hit papers
6 papers, 10.2k citations indexed

About

Ana Kozomara is a scholar working on Molecular Biology, Cancer Research and Ecology. According to data from OpenAlex, Ana Kozomara has authored 6 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cancer Research and 1 paper in Ecology. Recurrent topics in Ana Kozomara's work include MicroRNA in disease regulation (5 papers), RNA modifications and cancer (5 papers) and Cancer-related molecular mechanisms research (3 papers). Ana Kozomara is often cited by papers focused on MicroRNA in disease regulation (5 papers), RNA modifications and cancer (5 papers) and Cancer-related molecular mechanisms research (3 papers). Ana Kozomara collaborates with scholars based in United Kingdom. Ana Kozomara's co-authors include Sam Griffiths‐Jones, Karim Sorefan, Vincent Moulton, Helio Pais, Tamás Dalmay, Adam E. Hall, Matthew Ronshaugen, Antonio De Marco, Jerome H. L. Hui and Aidan M. Emery and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and PLoS neglected tropical diseases.

In The Last Decade

Ana Kozomara

6 papers receiving 10.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

miRBase: annotating high confidence microRNAs using deep sequencing data

2013 4.0k citations Ana Kozomara, Sam Griffiths‐Jones Nucleic Acids Research profile →
miRBase: from microRNA sequences to function

2018 3.0k citations Ana Kozomara, Sam Griffiths‐Jones et al. Nucleic Acids Research profile →
miRBase: integrating microRNA annotation and deep-sequencing data

2010 2.9k citations Ana Kozomara, Sam Griffiths‐Jones Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ana Kozomara United Kingdom	6	7.6k	6.3k	1.9k	630	494	6	10.2k
György Hutvàgner Australia	33	10.4k 1.4×	6.4k 1.0×	1.7k 0.9×	639 1.0×	749 1.5×	69	12.4k
Rhonda Feinbaum United States	15	9.4k 1.2×	7.0k 1.1×	1.6k 0.8×	737 1.2×	587 1.2×	19	12.4k
Rosalind C. Lee United States	10	10.9k 1.4×	9.3k 1.5×	1.4k 0.8×	688 1.1×	529 1.1×	10	13.7k
Mariana Lagos‐Quintana United States	11	8.5k 1.1×	6.8k 1.1×	1.6k 0.9×	555 0.9×	580 1.2×	14	10.5k
Jinju Han South Korea	19	12.9k 1.7×	10.6k 1.7×	1.3k 0.7×	837 1.3×	706 1.4×	29	15.2k
Amy E. Pasquinelli United States	36	14.0k 1.8×	10.7k 1.7×	1.6k 0.9×	976 1.5×	849 1.7×	67	17.2k
Sebastian D. Mackowiak Germany	16	8.9k 1.2×	7.0k 1.1×	685 0.4×	513 0.8×	336 0.7×	23	10.3k
Yoontae Lee South Korea	22	6.9k 0.9×	5.3k 0.8×	1.0k 0.5×	612 1.0×	356 0.7×	38	8.3k
Bino John United States	20	7.2k 1.0×	6.0k 1.0×	670 0.4×	793 1.3×	427 0.9×	26	9.2k
Marc R. Fabian Canada	31	5.8k 0.8×	3.3k 0.5×	714 0.4×	550 0.9×	273 0.6×	58	7.4k

Countries citing papers authored by Ana Kozomara

Since Specialization

Citations

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

Fields of papers citing papers by Ana Kozomara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ana Kozomara

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

All Works

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6 of 6 papers shown

1.

Kozomara, Ana, et al.. (2018). miRBase: from microRNA sequences to function. Nucleic Acids Research. 47(D1). D155–D162. 3044 indexed citations breakdown →

2.

Kozomara, Ana, et al.. (2014). Target Repression Induced by Endogenous microRNAs: Large Differences, Small Effects. PLoS ONE. 9(8). e104286–e104286. 26 indexed citations

3.

Marco, Antonio De, Ana Kozomara, Jerome H. L. Hui, et al.. (2013). Sex-Biased Expression of MicroRNAs in Schistosoma mansoni. PLoS neglected tropical diseases. 7(9). e2402–e2402. 58 indexed citations

4.

Kozomara, Ana & Sam Griffiths‐Jones. (2013). miRBase: annotating high confidence microRNAs using deep sequencing data. Nucleic Acids Research. 42(D1). D68–D73. 3974 indexed citations breakdown →

5.

Sorefan, Karim, Helio Pais, Adam E. Hall, et al.. (2012). Reducing ligation bias of small RNAs in libraries for next generation sequencing. PubMed. 3(1). 4–4. 146 indexed citations

6.

Kozomara, Ana & Sam Griffiths‐Jones. (2010). miRBase: integrating microRNA annotation and deep-sequencing data. Nucleic Acids Research. 39(Database). D152–D157. 2931 indexed citations breakdown →

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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