Mark Mackiewicz

7.0k citations
22 papers · 1.0k · h-index 17

Impact in

Papers in

    • Genomics and Chromatin Dynamics 5
    • RNA and protein synthesis mechanisms 3
    • RNA modifications and cancer 3
    • CRISPR and Genetic Engineering 3
    • Genetic diversity and population structure 6

Mark Mackiewicz

22 papers receiving 994 citations

Peers

Mark Mackiewicz
Comparison fields: 5 of 91
  • Cancer Research 220
  • Nature and Landscape Conservation 156
  • Genetics 273
  • Aquatic Science 64
  • Ecology, Evolution, Behavior and Systematics 160
Replace Claus Steinlein with:
Claus Steinlein Germany
Britta Meyer Germany
Melinda R. Baerwald United States
Peter Batzel United States
Judith M. Bergeron United States
Kristiina A. Vuori Finland
Thomas Desvignes United States
Uri Frank Ireland
Liezhen Fu United States
Thorsten Henrich Germany
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Citations per field
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Citations per year

Countries citing papers authored by Mark Mackiewicz

Since Specialization
Citations

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

Fields of papers citing papers by Mark Mackiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008151
2 2006104
3 201594
4 201190
5 202082
6 200673
7 200661
8 200661
9 199556
10 200739
11 200233
12 200031
13 199829
14 197028
15 200523
16 201422
17 196919
18 20249
19 20168
20 20236

About Mark Mackiewicz

Mark Mackiewicz is a scholar working on Molecular Biology, Genetics, Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics and Cancer Research, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetic diversity and population structure (6 papers), Genomics and Chromatin Dynamics (5 papers), Fish Ecology and Management Studies (4 papers), Animal Behavior and Reproduction (4 papers), RNA and protein synthesis mechanisms (3 papers), MicroRNA in disease regulation (3 papers), RNA modifications and cancer (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Cancer Research (220 citations), Nature and Landscape Conservation (156 citations), Genetics (273 citations), Aquatic Science (64 citations) and Ecology, Evolution, Behavior and Systematics (160 citations). Mark Mackiewicz has collaborated with scholars based in United States, Russia and Malawi. Frequent co-authors include John C. Avise, Andrey Tatarenkov, Bruce J. Turner, Natasha J. Caplen, Konrad Hüppi, D. Scott Taylor, Scott E. Martin, Tamara L. Jones, Natalia Volfovsky and Robert M. Stephens. Their work appears in journals such as Molecular Ecology, Genome Research, Proceedings of the National Academy of Sciences, Journal of Heredity and Marine Biology.

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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