Marian S. Piekarczyk

2.2k citations
15 papers · 1.6k indexed · 1 hit paper · h-index 13
Topics
T-cell and B-cell Immunology (7 papers)Immune Cell Function and Interaction (7 papers)HIV Research and Treatment (6 papers)

In The Last Decade

Marian S. Piekarczyk

15 papers receiving 1.6k citations

Hit Papers

Derivation of human embryonic stem cells in defined condi...20062026201220192006250500750

Peers

Marian S. Piekarczyk
Comparison fields: 5 of 83
  • Molecular Biology 1.0k
  • Biomedical Engineering 553
  • Immunology 436
  • Virology 359
  • Surgery 323
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Lingxun Duan United States
Melanie Galla Germany
Ryan Basom United States
Lars Aagaard Denmark
Petra Wolint Switzerland
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Éric Yvon United States
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Jennifer E. Adair United States
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Marian S. Piekarczyk relative to Lingxun Duan United States Lingxun Duan's profile →
Citations per field
00.5×4.4×
Lingxun Duan · 1×
Citations per year

Countries citing papers authored by Marian S. Piekarczyk

Since Specialization
Citations

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

Fields of papers citing papers by Marian S. Piekarczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marian S. Piekarczyk. 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 Marian S. Piekarczyk. The network helps show where Marian S. Piekarczyk may publish in the future.

Co-authorship network of co-authors of Marian S. Piekarczyk

This figure shows the co-authorship network connecting the top 25 collaborators of Marian S. Piekarczyk. A scholar is included among the top collaborators of Marian S. Piekarczyk 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 Marian S. Piekarczyk. Marian S. Piekarczyk 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
#WorkIndexed citations
1 218
2 57
3
Derivation of human embryonic stem cells in defined conditionsbreakdown →
811
4 89
5 10
6 56
7 65
8 7
9 14
10 20
11 160
12 41
13 15
14 29
15 33

About Marian S. Piekarczyk

Marian S. Piekarczyk is a scholar working on Virology, Immunology and Biological Psychiatry, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers) and HIV Research and Treatment (6 papers). The work is most often cited by research in Virology (359 citations), Immunology (436 citations) and Molecular Biology (1.0k citations). Marian S. Piekarczyk has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Mark E. Levenstein, Christine A. Daigh, Jeffrey M. Jones, Leann Crandall, W. Travis Berggren, James A. Thomson, Tenneille E. Ludwig, Kevin R. Conard, David I. Watkins and Lingyin Li. Their work appears in journals such as Nature Biotechnology, The Journal of Immunology and Nature Methods.

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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