Maciej Daniszewski

1.1k total citations
15 papers, 469 citations indexed

About

Maciej Daniszewski is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Maciej Daniszewski has authored 15 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Biomedical Engineering. Recurrent topics in Maciej Daniszewski's work include CRISPR and Genetic Engineering (11 papers), Pluripotent Stem Cells Research (7 papers) and Retinal Development and Disorders (6 papers). Maciej Daniszewski is often cited by papers focused on CRISPR and Genetic Engineering (11 papers), Pluripotent Stem Cells Research (7 papers) and Retinal Development and Disorders (6 papers). Maciej Daniszewski collaborates with scholars based in Australia, China and United States. Maciej Daniszewski's co-authors include Alice Pébay, Alex W. Hewitt, Damián Hernández, Helena H. Liang, Raymond C.B. Wong, Joseph E. Powell, Duncan E. Crombie, Sandy Hung, Anthony L. Cook and Anne Senabouth and has published in prestigious journals such as Scientific Reports, Genome biology and Stem Cells.

In The Last Decade

Maciej Daniszewski

15 papers receiving 462 citations

Peers

Maciej Daniszewski
Comparison fields: 5 of 77
  • Molecular Biology 378
  • Biomedical Engineering 89
  • Genetics 78
  • Cellular and Molecular Neuroscience 67
  • Ophthalmology 38
Replace Xinlan Lei with:
Xinlan Lei China
Aslam Abbasi Akhtar United States
Marianna Paulis Italy
Anna Manfredi Italy
Joana Ribeiro United Kingdom
Daniela Karra Austria
Taketoshi Wakabayashi Japan
Alexander I. Son United States
Jungyeon Won United States
Wen-Li Deng China
Xinlan Lei China View profile →
Citations per field, relative to Maciej Daniszewski
Maciej Daniszewski · 1×
Citations per year, relative to Maciej Daniszewski
Maciej Daniszewski · 1×

Countries citing papers authored by Maciej Daniszewski

Since Specialization
Citations

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

Fields of papers citing papers by Maciej Daniszewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maciej Daniszewski

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 13
2 16
3 11
4 63
5 22
6 4
7 51
8 33
9 37
10 23
11 14
12 33
13 39
14 2
15 108

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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2026