Daniel Pędziwiatr

600 total citations
20 papers, 464 citations indexed

About

Daniel Pędziwiatr is a scholar working on Molecular Biology, Surgery and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Daniel Pędziwiatr has authored 20 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Daniel Pędziwiatr's work include Hematopoietic Stem Cell Transplantation (3 papers), Pluripotent Stem Cells Research (2 papers) and Reproductive Biology and Fertility (2 papers). Daniel Pędziwiatr is often cited by papers focused on Hematopoietic Stem Cell Transplantation (3 papers), Pluripotent Stem Cells Research (2 papers) and Reproductive Biology and Fertility (2 papers). Daniel Pędziwiatr collaborates with scholars based in Poland, United States and Brazil. Daniel Pędziwiatr's co-authors include Mariusz Z. Ratajczak, Janina Ratajczak, Magda Kucia, Wojciech Wojakowski, Tomasz Jadczyk, Sham S. Kakar, Malwina Suszyńska, Ahmed Abdel‐Latif, Mateusz Adamiak and Kamila Bujko and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Journal of Psychiatric Research.

In The Last Decade

Daniel Pędziwiatr

20 papers receiving 458 citations

Peers

Daniel Pędziwiatr
Comparison fields: 5 of 68
  • Molecular Biology 222
  • Immunology 103
  • Hematology 72
  • Genetics 69
  • Oncology 45
Replace Sungsin Jo with:
Sungsin Jo South Korea
Claire Mulligan United Kingdom
Juraj Sepčić Croatia
Alexis L. Franks United States
Frederick V. Schaefer United States
Sarah C. Starossom United States
Dong Lin China
M. Rieks Germany
Daria Manganaro Italy
Federico Sizzano Switzerland
Sungsin Jo South Korea View profile →
Citations per field, relative to Daniel Pędziwiatr
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Citations per year, relative to Daniel Pędziwiatr
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Countries citing papers authored by Daniel Pędziwiatr

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pędziwiatr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Pędziwiatr

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Pędziwiatr. A scholar is included among the top collaborators of Daniel Pędziwiatr 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 Daniel Pędziwiatr. Daniel Pędziwiatr 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 24
2 49
3 20
4 10
5 2
6 30
7 11
8 12
9 25
10 69
11 17
12 1
13 1
14 46
15 17
16 3
17 65
18 34
19
Umbilical cord blood-derived very small embryonic like stem cells (VSELs) as a source of pluripotent stem cells for regenerative medicine.
17
20 11

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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