Michael Hackenberg

5.8k citations
103 papers · 4.5k · h-index 36

Impact in

Papers in

    • MicroRNA in disease regulation 23
    • Genomics and Phylogenetic Studies 29
    • Epigenetics and DNA Methylation 14
    • Fractal and DNA sequence analysis 9
    • Extracellular vesicles in disease 9
    • Genomics and Chromatin Dynamics 7

Michael Hackenberg

97 papers receiving 4.5k citations

Peers

Michael Hackenberg
Comparison fields: 5 of 128
  • Cancer Research 1.1k
  • Parasitology 318
  • Molecular Biology 2.2k
  • Plant Science 910
  • Small Animals 83
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Cei Abreu‐Goodger Mexico
Bee Ling Ng United Kingdom
James B. Munro United States
Bino John United States
Richard Coulson United Kingdom
Sarah C. Dyer United Kingdom
Sibyl Gao Canada
David Langenberger Germany
Christian D. Haudenschild United States
Daniel R. Caffrey United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael Hackenberg

Since Specialization
Citations

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

Fields of papers citing papers by Michael Hackenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Hackenberg, 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 Michael Hackenberg Line = papers co-authored together Michael Hackenberg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014506
2 2009259
3 2011230
4 2019205
5 2015182
6 2016142
7 2010138
8 2014137
9 2006135
10 2022131
11 2019129
12 2016119
13 2021109
14 2014103
15 201399
16 201293
17 200476
18 201474
19 200970
20 201470

About Michael Hackenberg

Michael Hackenberg is a scholar working on Cancer Research, Molecular Biology, Parasitology, Plant Science and Small Animals, having authored 103 papers that have together received 4.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (29 papers), MicroRNA in disease regulation (23 papers), Plant Molecular Biology Research (21 papers), Epigenetics and DNA Methylation (14 papers), Vector-borne infectious diseases (9 papers), Fractal and DNA sequence analysis (9 papers), Extracellular vesicles in disease (9 papers) and Genomics and Chromatin Dynamics (7 papers). The work is most often cited by research in Cancer Research (1.1k citations), Parasitology (318 citations), Molecular Biology (2.2k citations), Plant Science (910 citations) and Small Animals (83 citations). Michael Hackenberg has collaborated with scholars based in Spain, United States and Netherlands. Frequent co-authors include José Luis Tejera Oliver, Ana María Aransay, Pedro Carpena, Guillermo Barturen, Bu‐Jun Shi, David Langenberger, Naiara Rodríguez‐Ezpeleta, Perry J. Gustafson, Martin Sturm and Peter Langridge. Their work appears in journals such as Nucleic Acids Research, BMC Genomics, BMC Bioinformatics, International Journal of Molecular Sciences and PLoS ONE.

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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