Michael T. Marr

5.2k citations
41 papers · 3.2k indexed · 1 hit paper · h-index 25
Topics
RNA and protein synthesis mechanisms (15 papers)RNA Research and Splicing (11 papers)Bacterial Genetics and Biotechnology (9 papers)

In The Last Decade

Michael T. Marr

40 papers receiving 3.1k citations

Hit Papers

Control of cell number by Drosophila FOXO: downstream and...20032026201020182003100200300400500

Peers

Michael T. Marr
Comparison fields: 5 of 107
  • Molecular Biology 2.6k
  • Genetics 949
  • Ecology 496
  • Cellular and Molecular Neuroscience 321
  • Aging 309
Replace Robin P. Wharton with:
Robin P. Wharton United States
François Karch Switzerland
Gloria A. Brar United States
Asako Sugimoto Japan
Christophe Antoniewski France
Hilary Ellis United States
Ji‐Long Liu China
Elmar Wahle Germany
Michael T. Marr relative to Robin P. Wharton United States Robin P. Wharton's profile →
Citations per field
00.5×1.5×2.3×
Robin P. Wharton · 1×
Citations per year

Countries citing papers authored by Michael T. Marr

Since Specialization
Citations

This map shows the geographic impact of Michael T. Marr'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 T. Marr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Marr more than expected).

Fields of papers citing papers by Michael T. Marr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael T. Marr

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 18
2 1
3 54
4 10
5 27
6 78
7 32
8 16
9 24
10 14
11 194
12 94
13 123
14 16
15 76
16 142
17 114
18 123
19 358
20 124

About Michael T. Marr

Michael T. Marr is a scholar working on Aging, Molecular Biology and Genetics, having authored 41 papers that have together received 3.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (15 papers), RNA Research and Splicing (11 papers) and Bacterial Genetics and Biotechnology (9 papers). The work is most often cited by research in Aging (309 citations), Molecular Biology (2.6k citations) and Genetics (949 citations). Michael T. Marr has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Jeffrey W. Roberts, Robert Tjian, Óscar Puig, Joo‐Seop Park, Kevin J. Wright, Konstantin Severinov, Joseph Rodriguez, Yevgenia L. Khodor, Katharine C. Abruzzi and Michael Rosbash. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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