Robert Krencik

2.5k citations
29 papers · 1.7k indexed · 1 hit paper · h-index 17
Topics
Pluripotent Stem Cells Research (10 papers)Neurogenesis and neuroplasticity mechanisms (10 papers)Neuroinflammation and Neurodegeneration Mechanisms (6 papers)

In The Last Decade

Robert Krencik

28 papers receiving 1.7k citations

Hit Papers

Zika virus cell tropism in the developing human brain and...20162026201920222016100200300

Peers

Robert Krencik
Comparison fields: 5 of 106
  • Molecular Biology 936
  • Developmental Neuroscience 499
  • Cellular and Molecular Neuroscience 457
  • Neurology 315
  • Infectious Diseases 251
Replace Femke M.S. de Vrij with:
Femke M.S. de Vrij Netherlands
Alexandra Benchoua France
Christopher R. Bye Australia
Yuju Li China
Sundar Ganesan United States
Timothy E. Allsopp United Kingdom
Malika Bsibsi Netherlands
Yongqin Wu China
Liliane Tenenbaum Belgium
Nathalie Davoust France
Robert Krencik relative to Femke M.S. de Vrij Netherlands Femke M.S. de Vrij's profile →
Citations per field
00.5×4.1×
Femke M.S. de Vrij · 1×
Citations per year

Countries citing papers authored by Robert Krencik

Since Specialization
Citations

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

Fields of papers citing papers by Robert Krencik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Krencik

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Krencik. A scholar is included among the top collaborators of Robert Krencik 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 Robert Krencik. Robert Krencik 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
#WorkIndexed citations
1 0
2 3
3 1
4 24
5 12
6 10
7 14
8 44
9 15
10 26
11 64
12 49
13
Zika virus cell tropism in the developing human brain and inhibition by azithromycinbreakdown →
365
14 215
15 36
16 203
17 321
18 13
19 19
20 62

About Robert Krencik

Robert Krencik is a scholar working on Developmental Neuroscience, Aging and Neurology, having authored 29 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (10 papers), Neurogenesis and neuroplasticity mechanisms (10 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). The work is most often cited by research in Developmental Neuroscience (499 citations), Neurology (315 citations) and Cellular and Molecular Neuroscience (457 citations). Robert Krencik has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Su‐Chun Zhang, Yan Liu, Jason P. Weick, Erik M. Ullian, Su‐Chun Zhang, Zhijian Zhang, Lixiang Ma, Arnold R. Kriegstein, Alex A. Pollen and Su‐Chun Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

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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