Mary Dasso

10.9k citations
119 papers · 8.4k · h-index 51

Impact in

  • Cell Biology top 0.2%
    • Microtubule and mitosis dynamics
    • Ubiquitin and proteasome pathways
    • Nuclear Structure and Function
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics
    • DNA Repair Mechanisms
    • RNA modifications and cancer

Papers in

    • Nuclear Structure and Function 52
    • RNA Research and Splicing 40
    • Ubiquitin and proteasome pathways 33
    • Genomics and Chromatin Dynamics 23
    • DNA Repair Mechanisms 21
    • Mitochondrial Function and Pathology 12
    • RNA modifications and cancer 10
    • Microtubule and mitosis dynamics 35

Mary Dasso

118 papers receiving 8.3k citations

Peers

Mary Dasso
Comparison fields: 5 of 121
  • Cell Biology 2.3k
  • Molecular Biology 7.4k
  • Oncology 1.3k
  • Parasitology 302
  • Aging 68
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Mary Dasso relative to Michael J. Matunis United States Michael J. Matunis's profile →
Citations per field
00.5×1.5×2.3×
Michael J. Matunis · 1×
Citations per year

Countries citing papers authored by Mary Dasso

Since Specialization
Citations

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

Fields of papers citing papers by Mary Dasso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007477
2 2001399
3 1998352
4 1990309
5 1999287
6 2004236
7 2002231
8 2002199
9 2002173
10 1998171
11 1993168
12 2003165
13 1997164
14 1993163
15 2004160
16 2005155
17 2021152
18 2001151
19 2010148
20 2009145

About Mary Dasso

Mary Dasso is a scholar working on Molecular Biology, Cell Biology, Oncology, Genetics and Plant Science, having authored 119 papers that have together received 8.4k indexed citations. Recurring topics across this work include Nuclear Structure and Function (52 papers), RNA Research and Splicing (40 papers), Microtubule and mitosis dynamics (35 papers), Ubiquitin and proteasome pathways (33 papers), Genomics and Chromatin Dynamics (23 papers), DNA Repair Mechanisms (21 papers), Mitochondrial Function and Pathology (12 papers) and RNA modifications and cancer (10 papers). The work is most often cited by research in Cell Biology (2.3k citations), Molecular Biology (7.4k citations), Oncology (1.3k citations), Parasitology (302 citations) and Aging (68 citations). Mary Dasso has collaborated with scholars based in United States, Cameroon and Hungary. Frequent co-authors include Alexei Arnaoutov, Debaditya Mukhopadhyay, John W. Newport, Robert T. Pu, Yoshiaki Azuma, Hisato Saitoh, Jomon Joseph, Petr Kaláb, Jun Hang and Stéfan Dimitrov. Their work appears in journals such as The Journal of Cell Biology, Molecular Biology of the Cell, Cell Cycle, Proceedings of the National Academy of Sciences and Current Protocols in Cell 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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