C. Moeder

768 citations
9 papers · 584 indexed · h-index 8

Impact in

Papers in

    • Advanced Biosensing Techniques and Applications 3
    • Gene expression and cancer classification 2
    • HER2/EGFR in Cancer Research 4
    • Cutaneous Melanoma Detection and Management 1
    • Cancer-related Molecular Pathways 1

C. Moeder

9 papers receiving 575 citations

Peers

C. Moeder
Comparison fields: 5 of 67
  • Oncology 225
  • Cancer Research 111
  • Molecular Biology 393
  • Radiology, Nuclear Medicine and Imaging 114
  • Cell Biology 68
Replace John D. Bentley with:
John D. Bentley Australia
Nataly Kravchenko‐Balasha Israel
Virginia Morello Italy
N. R. Hartmann Germany
Kelly L. Slocum United States
James S. Butler United States
Jane Arboleda United States
H Naundorf Germany
Silvy da Rocha Dias United Kingdom
Anna Fantozzi Italy
C. Moeder relative to John D. Bentley Australia John D. Bentley's profile →
Citations per field
00.5×1.6×
John D. Bentley · 1×
Citations per year

Countries citing papers authored by C. Moeder

Since Specialization
Citations

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

Fields of papers citing papers by C. Moeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2007266
2 200795
3 201160
4 200855
5 200942
6 200930
7 200825
8 201210
9 20091

About C. Moeder

C. Moeder is a scholar working on Molecular Biology, Oncology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 9 papers that have together received 584 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (4 papers), Breast Cancer Treatment Studies (3 papers), Advanced Biosensing Techniques and Applications (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Gene expression and cancer classification (2 papers), Cell Image Analysis Techniques (1 paper), Cutaneous Melanoma Detection and Management (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Oncology (225 citations), Cancer Research (111 citations), Molecular Biology (393 citations), Radiology, Nuclear Medicine and Imaging (114 citations) and Cell Biology (68 citations). C. Moeder has collaborated with scholars based in United States, Canada and France. Frequent co-authors include David L. Rimm, Jennifer M. Giltnane, Robert L. Camp, Harriet M. Kluger, Yuval Kluger, Elah Pick, Malini Harigopal, Annette M. Molinaro, Karen Gelmon and Andrew Robinson. Their work appears in journals such as Journal of Clinical Oncology, Cancer, Modern Pathology, Breast Cancer Research and Annals of Oncology.

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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