Mary E. Matyskiela

3.6k total citations · 1 hit paper
21 papers, 1.8k citations indexed

About

Mary E. Matyskiela is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Mary E. Matyskiela has authored 21 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Cell Biology and 6 papers in Oncology. Recurrent topics in Mary E. Matyskiela's work include Ubiquitin and proteasome pathways (15 papers), Protein Degradation and Inhibitors (8 papers) and Peptidase Inhibition and Analysis (6 papers). Mary E. Matyskiela is often cited by papers focused on Ubiquitin and proteasome pathways (15 papers), Protein Degradation and Inhibitors (8 papers) and Peptidase Inhibition and Analysis (6 papers). Mary E. Matyskiela collaborates with scholars based in United States, Switzerland and Russia. Mary E. Matyskiela's co-authors include Andreas Martin, Gabriel C. Lander, Charlene Bashore, Eva Nogales, Eric Estrin, David O. Morgan, Philip P. Chamberlain, David P. Toczyski, Gang Lu and Christopher W. Carroll and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Mary E. Matyskiela

21 papers receiving 1.8k citations

Hit Papers

Complete subunit architecture of the proteasome regulator... 2012 2026 2016 2021 2012 100 200 300 400

Peers

Mary E. Matyskiela
Comparison fields: 5 of 72
  • Molecular Biology 1.7k
  • Cell Biology 549
  • Oncology 450
  • Epidemiology 300
  • Hematology 227
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Citations per field, relative to Mary E. Matyskiela
Mary E. Matyskiela · 1×
Citations per year, relative to Mary E. Matyskiela
Mary E. Matyskiela · 1×

Countries citing papers authored by Mary E. Matyskiela

Since Specialization
Citations

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

Fields of papers citing papers by Mary E. Matyskiela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary E. Matyskiela

This figure shows the co-authorship network connecting the top 25 collaborators of Mary E. Matyskiela. A scholar is included among the top collaborators of Mary E. Matyskiela 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 Mary E. Matyskiela. Mary E. Matyskiela 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
# Work Indexed citations
1 94
2 4
3 65
4 30
5 19
6 18
7 47
8 56
9 203
10 97
11 199
12
Complete subunit architecture of the proteasome regulatory particle breakdown →
482
13 47
14 26
15 86
16 25
17 126
18 46
19 54
20 40

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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