Maria Polycarpou‐Schwarz

3.0k total citations
27 papers, 2.4k citations indexed

About

Maria Polycarpou‐Schwarz is a scholar working on Molecular Biology, Cancer Research and Hematology. According to data from OpenAlex, Maria Polycarpou‐Schwarz has authored 27 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 9 papers in Cancer Research and 3 papers in Hematology. Recurrent topics in Maria Polycarpou‐Schwarz's work include RNA Research and Splicing (15 papers), RNA modifications and cancer (13 papers) and Cancer-related molecular mechanisms research (8 papers). Maria Polycarpou‐Schwarz is often cited by papers focused on RNA Research and Splicing (15 papers), RNA modifications and cancer (13 papers) and Cancer-related molecular mechanisms research (8 papers). Maria Polycarpou‐Schwarz collaborates with scholars based in Germany, United Kingdom and United States. Maria Polycarpou‐Schwarz's co-authors include Iain W. Mattaj, Samuel Gunderson, Roberto Di Lauro, Vladimı́r Beneš, Frank Gannon, George Reid, David Ibberson, Brenda D. Stride, Raphaël Métivier and Sven Diederichs and has published in prestigious journals such as Nature, Nucleic Acids Research and Genes & Development.

In The Last Decade

Maria Polycarpou‐Schwarz

27 papers receiving 2.4k citations

Peers

Maria Polycarpou‐Schwarz
Comparison fields: 5 of 106
  • Molecular Biology 1.9k
  • Cancer Research 601
  • Genetics 265
  • Hematology 249
  • Nutrition and Dietetics 221
Replace Irene E. Zohn with:
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Citations per field, relative to Maria Polycarpou‐Schwarz
Maria Polycarpou‐Schwarz · 1×
Citations per year, relative to Maria Polycarpou‐Schwarz
Maria Polycarpou‐Schwarz · 1×

Countries citing papers authored by Maria Polycarpou‐Schwarz

Since Specialization
Citations

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

Fields of papers citing papers by Maria Polycarpou‐Schwarz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Polycarpou‐Schwarz. 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 Maria Polycarpou‐Schwarz. The network helps show where Maria Polycarpou‐Schwarz may publish in the future.

Co-authorship network of co-authors of Maria Polycarpou‐Schwarz

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Polycarpou‐Schwarz. A scholar is included among the top collaborators of Maria Polycarpou‐Schwarz 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 Maria Polycarpou‐Schwarz. Maria Polycarpou‐Schwarz 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 1
2 3
3 1
4 43
5 134
6 28
7 60
8 46
9 62
10 70
11 76
12 26
13 489
14 251
15 43
16 246
17 110
18
Drosophila SNF/D25 combines the functions of the two snRNP proteins U1A and U2B' that are encoded separately in human, potato, and yeast.
47
19 4
20 95

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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