Max E. Boeck

1.1k citations
6 papers · 551 · h-index 5

Impact in

  • Aging top 0.5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Biophysics top 5%
    • Cell Image Analysis Techniques

Papers in

    • CRISPR and Genetic Engineering 3
    • Epigenetics and DNA Methylation 1
    • RNA Research and Splicing 1
    • Genomics and Phylogenetic Studies 1
    • Protist diversity and phylogeny 1
    • Genetics, Aging, and Longevity in Model Organisms 4

Max E. Boeck

6 papers receiving 549 citations

Peers

Max E. Boeck
Comparison fields: 5 of 48
  • Aging 279
  • Biophysics 58
  • Endocrine and Autonomic Systems 45
  • Molecular Biology 418
  • Cell Biology 58
Replace Karl A. Zawadzki with:
Karl A. Zawadzki United States
Christian A Grove United States
Lena M Kutscher Germany
Kimberley Laband United States
Antoine Baudrimont Austria
Alexander Woglar Austria
Nicholas Miliaras United States
Richard O’Laughlin United States
Monica C. Sleumer Canada
Rita M. Fishpool United Kingdom
Max E. Boeck relative to Karl A. Zawadzki United States Karl A. Zawadzki's profile →
Citations per field
00.5×4.5×
Karl A. Zawadzki · 1×
Citations per year

Countries citing papers authored by Max E. Boeck

Since Specialization
Citations

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

Fields of papers citing papers by Max E. Boeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Max E. Boeck. 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 Max E. Boeck. The network helps show where Max E. Boeck may publish in the future.

Co-authors

The 23 scholars most cited alongside Max E. Boeck, 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 Max E. Boeck Line = papers co-authored together Max E. Boeck links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2006181
2 2008152
3 2012115
4 201665
5 201134
6 20214

About Max E. Boeck

Max E. Boeck is a scholar working on Molecular Biology, Aging, Endocrine and Autonomic Systems, Genetics and Infectious Diseases, having authored 6 papers that have together received 551 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), CRISPR and Genetic Engineering (3 papers), Circadian rhythm and melatonin (2 papers), Epigenetics and DNA Methylation (1 paper), RNA Research and Splicing (1 paper), Genomics and Phylogenetic Studies (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Protist diversity and phylogeny (1 paper). The work is most often cited by research in Aging (279 citations), Biophysics (58 citations), Endocrine and Autonomic Systems (45 citations), Molecular Biology (418 citations) and Cell Biology (58 citations). Max E. Boeck has collaborated with scholars based in United States and Germany. Frequent co-authors include R Waterston, John I. Murray, Zhirong Bao, Zhongying Zhao, Thomas J. Boyle, Wenyi Feng, Walton L. Fangman, Gina M. Alvino, David Collingwood and M. K. Raghuraman. Their work appears in journals such as Genome Research, Nature Cell Biology, BMC Genomics, Developmental Biology and Nature Methods.

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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