G C Chamness

421 citations
5 papers · 363 · h-index 5

Impact in

Papers in

    • Estrogen and related hormone effects 4
    • Advanced Biosensing Techniques and Applications 1
    • Molecular Biology Techniques and Applications 1
    • Steroid Chemistry and Biochemistry 1

G C Chamness

5 papers receiving 325 citations

Peers

G C Chamness
Comparison fields: 5 of 62
  • Cancer Research 96
  • Genetics 188
  • Oncology 132
  • Reproductive Medicine 20
  • Radiology, Nuclear Medicine and Imaging 41
Replace J Goussard with:
J Goussard France
Roberto E. Garola United States
A. Koenders Netherlands
Jean Yates United Kingdom
Heinrich Maass Germany
P Briand Denmark
Elisabetta Marchetti Italy
G. Trams Germany
WR Miller United Kingdom
Osborne Ck United States
G C Chamness relative to J Goussard France J Goussard's profile →
Citations per field
00.5×1.5×
J Goussard · 1×
Citations per year

Countries citing papers authored by G C Chamness

Since Specialization
Citations

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

Fields of papers citing papers by G C Chamness

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside G C Chamness, 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 G C Chamness Line = papers co-authored together G C Chamness links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
Evaluation of estrogen receptor assays in human breast cancer tissue.
1977183
2 1980121
3
Treatment decisions in axillary node-negative breast cancer patients.
199230
4
Questions about histochemical methods for steroid receptors.
198218
5
The importance of normal and abnormal oestrogen receptor in breast cancer.
199211

About G C Chamness

G C Chamness is a scholar working on Genetics, Molecular Biology, Oncology, Artificial Intelligence and Spectroscopy, having authored 5 papers that have together received 363 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), Breast Cancer Treatment Studies (1 paper), Analytical Chemistry and Chromatography (1 paper), Advanced Biosensing Techniques and Applications (1 paper), Molecular Biology Techniques and Applications (1 paper), HER2/EGFR in Cancer Research (1 paper), AI in cancer detection (1 paper) and Steroid Chemistry and Biochemistry (1 paper). The work is most often cited by research in Cancer Research (96 citations), Genetics (188 citations), Oncology (132 citations), Reproductive Medicine (20 citations) and Radiology, Nuclear Medicine and Imaging (41 citations). G C Chamness has collaborated with scholars based in United States. Frequent co-authors include McGuire Wl, William McGuire, Wayne D. Mercer, G M Clark, D. Craig Allred, Peter M. Ravdin, Atul K. Tandon and Suzanne A.W. Fuqua. Their work appears in journals such as Journal of Histochemistry & Cytochemistry and PubMed.

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.

Explore authors with similar magnitude of impact