C Shelly

424 citations
12 papers · 377 · h-index 10

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 2
    • Advanced biosensing and bioanalysis techniques 1
    • Kruppel-like factors research 1
    • Protein Degradation and Inhibitors 1
    • Eicosanoids and Hypertension Pharmacology 6

C Shelly

12 papers receiving 370 citations

Peers

C Shelly
Comparison fields: 5 of 71
  • Biochemistry 49
  • Genetics 34
  • Cancer Research 47
  • Molecular Biology 212
  • Immunology 62
Replace Dawn A. Bradbury with:
Dawn A. Bradbury United Kingdom
Zsolt Kasza Sweden
Yachao Yao China
Titus Sparna Germany
Nicole J. Croteau United States
Hiroyoshi Sawada Japan
Georg Tschank Germany
Gillian Moore Ireland
Donna Witchell United States
Roswitha Müller Germany
C Shelly relative to Dawn A. Bradbury United Kingdom Dawn A. Bradbury's profile →
Citations per field
00.5×1.5×
Dawn A. Bradbury · 1×
Citations per year

Countries citing papers authored by C Shelly

Since Specialization
Citations

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

Fields of papers citing papers by C Shelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside C Shelly, 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 C Shelly Line = papers co-authored together C Shelly links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
MXI1, a putative tumor suppressor gene, suppresses growth of human glioblastoma cells.
199786
2 199077
3 200246
4 199843
5 198827
6 199624
7
K562 cells resistant to phorbol 12-myristate 13-acetate-induced growth arrest: dissociation of mitogen-activated protein kinase activation and Egr-1 expression from megakaryocyte differentiation.
200019
8 198717
9 198914
10 198910
11 19889
12 20005

About C Shelly

C Shelly is a scholar working on Molecular Biology, Biochemistry, Pharmacology, Cell Biology and Genetics, having authored 12 papers that have together received 377 indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (6 papers), Inflammatory mediators and NSAID effects (4 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Kruppel-like factors research (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Biochemistry (49 citations), Genetics (34 citations), Cancer Research (47 citations), Molecular Biology (212 citations) and Immunology (62 citations). C Shelly has collaborated with scholars based in United States and India. Frequent co-authors include Marc Peters‐Golden, Román Herrera, Chi V. Dang, Daniel S. Wechsler, Lilli Petruzzelli, Galen B. Toews, Robert McNish, Robert C. Hyzy, Melvin L. Morganroth and Ajay J. Khopade. Their work appears in journals such as The Journal of Immunology, Journal of Biological Chemistry, Journal of Cell Science, Leukemia and Journal of Biomaterials Applications.

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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