Frances S. Cho

1.7k citations
17 papers · 1.1k indexed · 1 hit paper · h-index 13
Topics
Neuroscience and Neuropharmacology Research (6 papers)Neuroinflammation and Neurodegeneration Mechanisms (5 papers)Neonatal and fetal brain pathology (4 papers)

In The Last Decade

Frances S. Cho

17 papers receiving 1.1k citations

Hit Papers

Astrocyte-derived interleukin-33 promotes microglial syna...20182026202020232018100200300400

Peers

Frances S. Cho
Comparison fields: 5 of 94
  • Neurology 460
  • Cellular and Molecular Neuroscience 345
  • Immunology 236
  • Molecular Biology 208
  • Cognitive Neuroscience 177
Replace Simon Pan with:
Simon Pan United States
Denise Becker Germany
Jana Vukovic Australia
Kai Diederich Germany
Isabelle Arnoux France
Rafael Taeho Han South Korea
David W. Hampton United Kingdom
Sabina Luchetti Netherlands
Leah C. Dorman United States
Regina Vontell United States
Frances S. Cho relative to Simon Pan United States Simon Pan's profile →
Citations per field
00.5×6.1×
Simon Pan · 1×
Citations per year

Countries citing papers authored by Frances S. Cho

Since Specialization
Citations

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

Fields of papers citing papers by Frances S. Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frances S. Cho

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 28
2 24
3 73
4 10
5 11
6 18
7 35
8 34
9
Astrocyte-derived interleukin-33 promotes microglial synapse engulfment and neural circuit developmentbreakdown →
464
10 135
11 36
12 14
13 78
14 47
15 66
16 2
17 6

About Frances S. Cho

Frances S. Cho is a scholar working on Developmental Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Neonatal and fetal brain pathology (4 papers). The work is most often cited by research in Neurology (460 citations), Developmental Neuroscience (153 citations) and Biological Psychiatry (90 citations). Frances S. Cho has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Jeanne T. Paz, Anna V. Molofsky, Ilia D. Vainchtein, Ari B. Molofsky, Hiromi Nakao-Inoue, Leah C. Dorman, Omar Akil, Kevin W. Kelley, Phi T. Nguyen and Satoru Joshita. Their work appears in journals such as Science, The Journal of Experimental Medicine and The Journal of Comparative Neurology.

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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