Casey C. Case

2.2k citations
30 papers · 1.6k · h-index 17

Impact in

Papers in

    • CRISPR and Genetic Engineering 7
    • RNA Research and Splicing 6
    • RNA and protein synthesis mechanisms 4
    • Angiogenesis and VEGF in Cancer 4
    • Ubiquitin and proteasome pathways 3
    • Protein Degradation and Inhibitors 3
    • Mesenchymal stem cell research 7

Casey C. Case

30 papers receiving 1.5k citations

Peers

Casey C. Case
Comparison fields: 5 of 81
  • Genetics 194
  • Developmental Neuroscience 70
  • Molecular Biology 1.2k
  • Aging 19
  • Genetics 278
Replace Daisuke Kawauchi with:
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Casey C. Case relative to Daisuke Kawauchi Japan Daisuke Kawauchi's profile →
Citations per field
00.5×1.5×2.0×
Daisuke Kawauchi · 1×
Citations per year

Countries citing papers authored by Casey C. Case

Since Specialization
Citations

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

Fields of papers citing papers by Casey C. Case

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Casey C. Case. 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 Casey C. Case. The network helps show where Casey C. Case may publish in the future.

Co-authors

The 25 scholars most cited alongside Casey C. Case, 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 Casey C. Case Line = papers co-authored together Casey C. Case links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002208
2 2002195
3 2001190
4 2000147
5 2002130
6 201782
7 201067
8 200963
9 200456
10
Repression of vascular endothelial growth factor A in glioblastoma cells using engineered zinc finger transcription factors.
200356
11 200647
12 198847
13 200345
14 201331
15 200230
16 200226
17 201119
18 200616
19 200516
20 201216

About Casey C. Case

Casey C. Case is a scholar working on Molecular Biology, Genetics, Developmental Neuroscience, Cellular and Molecular Neuroscience and Genetics, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (7 papers), CRISPR and Genetic Engineering (7 papers), RNA Research and Splicing (6 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), RNA and protein synthesis mechanisms (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Ubiquitin and proteasome pathways (3 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Genetics (194 citations), Developmental Neuroscience (70 citations), Molecular Biology (1.2k citations), Aging (19 citations) and Genetics (278 citations). Casey C. Case has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Carl O. Pabo, Philip D. Gregory, Edward J. Rebar, Andrew Snowden, Michael McGrogan, S. Kaye Spratt, Alan P. Wolffe, Andrew C. Jamieson, Ciara C. Tate and Yuxin Liang. Their work appears in journals such as Journal of Biological Chemistry, SLAS DISCOVERY, Nature Medicine, Gene and Journal of Neuroinflammation.

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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