Julia Alles

852 total citations · 1 hit paper
9 papers, 623 citations indexed

About

Julia Alles is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Julia Alles has authored 9 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Julia Alles's work include Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (5 papers) and Circular RNAs in diseases (4 papers). Julia Alles is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (5 papers) and Circular RNAs in diseases (4 papers). Julia Alles collaborates with scholars based in Germany, Switzerland and Norway. Julia Alles's co-authors include Friedrich A. Grässer, Eckart Meese, Andreas Keller, Ulrike Fischer, Masood Abu‐Halima, Christina Backes, Tobias Fehlmann, Valentina Galata, Martin Hart and Marie Minet and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Julia Alles

9 papers receiving 617 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.

An estimate of the total number of true human miRNAs

2019 403 citations Julia Alles, Tobias Fehlmann et al. 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
Julia Alles Germany	8	472	442	74	68	32	9	623
Puxiang Chen China	13	555 1.2×	482 1.1×	58 0.8×	56 0.8×	28 0.9×	20	710
Ananthi J. Asirvatham United States	8	340 0.7×	232 0.5×	79 1.1×	99 1.5×	28 0.9×	8	506
Xingya Zhu China	7	327 0.7×	278 0.6×	55 0.7×	29 0.4×	14 0.4×	8	482
Jiancheng Wang China	10	222 0.5×	173 0.4×	61 0.8×	31 0.5×	44 1.4×	20	384
Doaa Fathi Egypt	15	404 0.9×	417 0.9×	73 1.0×	29 0.4×	30 0.9×	21	586
Maria Wrang Teilum Denmark	3	540 1.1×	534 1.2×	46 0.6×	59 0.9×	7 0.2×	5	699
J.J. Guo China	13	306 0.6×	211 0.5×	71 1.0×	93 1.4×	13 0.4×	23	534
Meredith Hill Australia	6	490 1.0×	426 1.0×	41 0.6×	49 0.7×	24 0.8×	10	622
Lili Xie China	12	233 0.5×	131 0.3×	35 0.5×	23 0.3×	16 0.5×	32	405

Countries citing papers authored by Julia Alles

Since Specialization

Citations

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

Fields of papers citing papers by Julia Alles

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Alles

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

All Works

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9 of 9 papers shown

1.

Alles, Julia, Tobias Fehlmann, Ulrike Fischer, et al.. (2019). An estimate of the total number of true human miRNAs. Nucleic Acids Research. 47(7). 3353–3364. 403 indexed citations breakdown →

2.

Abu‐Halima, Masood, Basim M. Ayesh, Martin Hart, et al.. (2019). Differential expression of miR-23a/b-3p and its target genes in male patients with subfertility. Fertility and Sterility. 112(2). 323–335.e2. 29 indexed citations

3.

Alles, Julia, Nicole Ludwig, Stefanie Rheinheimer, et al.. (2017). MiR-148a impairs Ras/ERK signaling in B lymphocytes by targeting SOS proteins. Oncotarget. 8(34). 56417–56427. 8 indexed citations

4.

Fehlmann, Tobias, Christina Backes, Julia Alles, et al.. (2017). A high-resolution map of the human small non-coding transcriptome. Bioinformatics. 34(10). 1621–1628. 19 indexed citations

5.

König, Cornelius J., et al.. (2015). The Role of Neuroscience Information in Choosing a Personality Test: Not as seductive as expected. International Journal of Selection and Assessment. 23(2). 99–108. 5 indexed citations

6.

Alles, Julia, Daniele Hasler, Syed Mohammad Ali Kazmi, et al.. (2015). Epstein-Barr Virus EBER Transcripts Affect miRNA-Mediated Regulation of Specific Targets and Are Processed to Small RNA Species. Non-Coding RNA. 1(3). 170–191. 7 indexed citations

7.

Alles, Julia, Jennifer Menegatti, Natalie Motsch, et al.. (2015). miRNA expression profiling of Epstein–Barr virus‐associated NKTL cell lines by Illumina deep sequencing. FEBS Open Bio. 6(4). 251–263. 23 indexed citations

8.

Motsch, Natalie, Julia Alles, Jochen Imig, et al.. (2012). MicroRNA Profiling of Epstein-Barr Virus-Associated NK/T-Cell Lymphomas by Deep Sequencing. PLoS ONE. 7(8). e42193–e42193. 70 indexed citations

9.

Lenze, Dido, Julia Alles, Natalie Motsch, et al.. (2012). MicroRNA‐142 is mutated in about 20% of diffuse large B‐cell lymphoma. Cancer Medicine. 1(2). 141–155. 59 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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