Catherine D. O’Connell

1.1k citations
20 papers · 785 indexed · h-index 14

Catherine D. O’Connell

20 papers receiving 762 citations

Peers

Catherine D. O’Connell
Comparison fields: 5 of 80
  • Endocrinology 67
  • Molecular Biology 540
  • Cell Biology 102
  • Clinical Biochemistry 38
  • Cancer Research 83
Replace Ernesto G. Bade with:
Ernesto G. Bade Germany
Rituparna Mukhopadhyay United States
Dinene L. Crater United States
Lucie S. Heath United States
Christopher J. Shoemaker United States
Paolo Amati Italy
Anders Sundström Sweden
Stéphane Coulon France
L.Vincent Collins Australia
Stuart W. Hicks United States
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Citations per year

Countries citing papers authored by Catherine D. O’Connell

Since Specialization
Citations

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

Fields of papers citing papers by Catherine D. O’Connell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Catherine D. O’Connell. 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 Catherine D. O’Connell. The network helps show where Catherine D. O’Connell may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Catherine D. O’Connell, 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 Catherine D. O’Connell Line = papers co-authored together Catherine D. O’Connell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201685
2 200816
3 200851
4 200621
5 200573
6 20056
7 20041
8 2004161
9 20038
10 20028
11 199920
12 199822
13 199826
14 199856
15
Detection of tyrosinase mRNA in melanoma by reverse transcription-PCR and electrochemiluminescence.
199836
16
Sensitivity of tyrosinase mRNA detection by RT-PCR: rTth DNA polymerase vs. MMLV-RT and AmpliTaq polymerase.
19966
17
Cloning and characterization of human and murine homologues of the Drosophila polo serine-threonine kinase.
1994102
18
Detection of c-mos proto-oncogene expression in human cells.
199322
19 198464
20 19511

About Catherine D. O’Connell

Catherine D. O’Connell is a scholar working on Molecular Biology, Periodontics, Pharmacy, Endocrinology and Clinical Biochemistry, having authored 20 papers that have together received 785 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (9 papers), Cancer-related Molecular Pathways (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers), Genomics and Rare Diseases (3 papers), DNA Repair Mechanisms (3 papers), Mitochondrial Function and Pathology (3 papers), CRISPR and Genetic Engineering (3 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Endocrinology (67 citations), Molecular Biology (540 citations), Cell Biology (102 citations), Clinical Biochemistry (38 citations) and Cancer Research (83 citations). Catherine D. O’Connell has collaborated with scholars based in United States, Egypt and China. Frequent co-authors include John P. Jakupciak, Maurice Cohen, Donald H. Atha, H. Michael Wenz, Albino Bacolla, Jacquelynn E. Larson, Robert D. Wells, D.N. Cooper, Nadia Chuzhanova and Adam Jaworski. Their work appears in journals such as Electrophoresis, Molecular Diagnosis, Cancer Biomarkers, Science and BMC Cancer.

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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