Dirk Holste

1.6k citations
18 papers · 1.2k · h-index 13

Impact in

    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Fractal and DNA sequence analysis
    • Genomics and Phylogenetic Studies
    • Machine Learning in Bioinformatics
    • Genomics and Chromatin Dynamics
    • Cancer-related molecular mechanisms research

Papers in

    • RNA and protein synthesis mechanisms 11
    • RNA Research and Splicing 6
    • Fractal and DNA sequence analysis 6
    • Machine Learning in Bioinformatics 5
    • RNA modifications and cancer 5
    • Innovation Policy and R&D 2
    • Complex Systems and Time Series Analysis 1

Dirk Holste

18 papers receiving 1.1k citations

Peers

Dirk Holste
Comparison fields: 5 of 111
  • Molecular Biology 1.0k
  • Cancer Research 97
  • Genetics 113
  • Aging 6
  • Genetics 33
Replace Robert B. Faryabi with:
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Daniel Kaschek Germany
Maria Secrier United Kingdom
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Dirk Holste relative to Robert B. Faryabi United States Robert B. Faryabi's profile →
Citations per field
00.5×1.5×
Robert B. Faryabi · 1×
Citations per year

Countries citing papers authored by Dirk Holste

Since Specialization
Citations

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

Fields of papers citing papers by Dirk Holste

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Dirk Holste, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dirk Holste Line = papers co-authored together Dirk Holste links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2004426
2 2005225
3 2004158
4 200365
5 200553
6 200149
7 200546
8 199831
9 201318
10 200015
11 200814
12 200013
13 199913
14 200810
15 20128
16 20137
17 20045
18 20042

About Dirk Holste

Dirk Holste is a scholar working on Molecular Biology, Economics and Econometrics, Statistics, Probability and Uncertainty, Information Systems and Statistical and Nonlinear Physics, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), RNA Research and Splicing (6 papers), Fractal and DNA sequence analysis (6 papers), Machine Learning in Bioinformatics (5 papers), RNA modifications and cancer (5 papers), Innovation Policy and R&D (2 papers), scientometrics and bibliometrics research (2 papers) and Complex Systems and Time Series Analysis (1 paper). The work is most often cited by research in Molecular Biology (1.0k citations), Cancer Research (97 citations), Genetics (113 citations), Aging (6 citations) and Genetics (33 citations). Dirk Holste has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Christopher B. Burge, G Yeo, Gabriel Kreiman, Ivo Große, Hanspeter Herzel, Tomaso Poggio, Eric L. Van Nostrand, William G. Fairbrother, Phillip A. Sharp and Wentian Li. Their work appears in journals such as Journal of Theoretical Biology, foresight, Journal of Molecular Evolution, Research Evaluation and BMC Genomics.

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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