Daniel Lipiński

1.4k citations
64 papers · 1.1k · h-index 20

Impact in

Papers in

    • CRISPR and Genetic Engineering 21
    • Pluripotent Stem Cells Research 9
    • Animal Genetics and Reproduction 33
    • Virus-based gene therapy research 16
    • Mesenchymal stem cell research 4

Daniel Lipiński

63 papers receiving 1.0k citations

Peers

Daniel Lipiński
Comparison fields: 5 of 105
  • Genetics 392
  • Business and International Management 26
  • Public Health, Environmental and Occupational Health 277
  • Molecular Biology 652
  • Reproductive Medicine 79
Replace Kazuaki Nakano with:
Kazuaki Nakano Japan
Wanlu Liu China
Paweł Antosik Poland
Zhiqiang Fan United States
Jeremy Boone United States
Misa Hosoe Japan
Tongtong Cui China
Hathaitip Sritanaudomchai Thailand
Todd Vaught United States
Cuiqing Zhong China
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Citations per field
00.5×3.7×
Kazuaki Nakano · 1×
Citations per year

Countries citing papers authored by Daniel Lipiński

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Lipiński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Lipiński, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Lipiński Line = papers co-authored together Daniel Lipiński links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016115
2 201787
3 201853
4 200852
5 202047
6 201439
7 200936
8 201535
9 202134
10 200833
11 201932
12 202330
13 201430
14 201229
15 202127
16 200624
17 201522
18 201420
19 201319
20 201319

About Daniel Lipiński

Daniel Lipiński is a scholar working on Molecular Biology, Genetics, Surgery, Public Health, Environmental and Occupational Health and Genetics, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (33 papers), Xenotransplantation and immune response (23 papers), CRISPR and Genetic Engineering (21 papers), Virus-based gene therapy research (16 papers), Reproductive Biology and Fertility (9 papers), Pluripotent Stem Cells Research (9 papers), Tissue Engineering and Regenerative Medicine (6 papers) and Mesenchymal stem cell research (4 papers). The work is most often cited by research in Genetics (392 citations), Business and International Management (26 citations), Public Health, Environmental and Occupational Health (277 citations), Molecular Biology (652 citations) and Reproductive Medicine (79 citations). Daniel Lipiński has collaborated with scholars based in Poland, United States and Germany. Frequent co-authors include Ryszard Słomski, Joanna Zeyland, Magdalena Hryhorowicz, M. Samiec, Jolanta Opiela, M. Skrzyszowska, Marlena Szalata, L. Kątska-Książkiewicz, Z. Smorąg and Agnieszka Nowak. Their work appears in journals such as Annals of Animal Science, International Journal of Molecular Sciences, Archivum Immunologiae et Therapiae Experimentalis, Theriogenology and Genes.

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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