Maria Goralski

1.1k citations
4 papers · 684 indexed · 1 hit paper · h-index 4
Topics
Protein Degradation and Inhibitors (2 papers)Cancer therapeutics and mechanisms (1 paper)RNA modifications and cancer (1 paper)
Partner nations
United States

In The Last Decade

Maria Goralski

4 papers receiving 672 citations

Hit Papers

Anticancer sulfonamides target splicing by inducing RBM39...20172026202020232017100200300400500

Peers

Maria Goralski
Comparison fields: 5 of 76
  • Molecular Biology 599
  • Oncology 175
  • Hematology 92
  • Cancer Research 56
  • Organic Chemistry 51
Replace Emanuela Capota with:
Emanuela Capota United States
Daniel A Luedtke United States
Göran Dahl Sweden
Nicolas Basse France
Lata Chauhan United States
Eliza C. Small United States
Michelle R. Cronk United States
Anna Koren Austria
Kanda Sangthongpitag Singapore
Kathy A. Gelato Germany
Maria Goralski relative to Emanuela Capota United States Emanuela Capota's profile →
Citations per field
00.5×1.5×
Emanuela Capota · 1×
Citations per year

Countries citing papers authored by Maria Goralski

Since Specialization
Citations

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

Fields of papers citing papers by Maria Goralski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Goralski

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

All Works

4 of 4 papers shown
#WorkIndexed citations
1 90
2
Anticancer sulfonamides target splicing by inducing RBM39 degradation via recruitment to DCAF15breakdown →
511
3 80
4
Zastosowanie mikromacierzy DNA w genomice strukturalnej i funkcjonalnej
3

About Maria Goralski

Maria Goralski is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases, having authored 4 papers that have together received 684 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (2 papers), Cancer therapeutics and mechanisms (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Molecular Biology (599 citations), Hematology (92 citations) and Oncology (175 citations). Maria Goralski has collaborated with scholars based in United States. Frequent co-authors include Deepak Nijhawan, Jiwoong Kim, Yang Xie, Tabitha C. Ting, Emanuela Capota, Ting Han, Noelle S. Williams, Nicholas Gaskill, Baiyun Wang and Katherine Klein. Their work appears in journals such as Science, Nature Chemical Biology and Cell Reports.

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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