Cox Eb

3.5k citations
10 papers · 2.7k indexed · 3 hit papers · h-index 8

Cox Eb

10 papers receiving 2.6k citations

Hit Papers

Estrogen receptor analyses. Correlation of biochemical an...8821984202619982012250500750

Peers

Cox Eb
Comparison fields: 5 of 98
  • Hematology 1.3k
  • Genetics 1.2k
  • Rheumatology 668
  • Oncology 685
  • Cancer Research 369
Replace Diana Griffith with:
Diana Griffith United States
Laura McGreevey United States
Kensuke Usuki Japan
Thoas Fioretos Sweden
Nicole Dastugue France
Philip Beer United Kingdom
Shu Tamura Japan
Raja Luthra United States
Éric Legouffe France
S. Fracchioli Italy
Cox Eb relative to Diana Griffith United States Diana Griffith's profile →
Citations per field
00.5×1.5×1.9×
Diana Griffith · 1×
Citations per year

Countries citing papers authored by Cox Eb

Since Specialization
Citations

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

Fields of papers citing papers by Cox Eb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside Cox Eb, 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 Cox Eb Line = papers co-authored together Cox Eb links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Phase II study of human lymphoblastoid interferon in patients with multiple myeloma.
19884
2
Use of a monoclonal anti-estrogen receptor antibody in the immunohistochemical evaluation of human tumors.
1986363
3
Estrogen receptor analyses. Correlation of biochemical and immunohistochemical methods using monoclonal antireceptor antibodies.breakdown →
1985882
4 198440
5
Clinical response to hormone therapy correlated with estrogen receptor analyses. Biochemical v histochemical methods.
198410
6
Elastosis in human breast cancer. Correlation with sex steroid receptors and comparison with clinical outcome.
198417
7 19844
8
Sex related survival differences in instances of melanoma.
198425
9
Prognostic discrimination in "good-risk" chronic granulocytic leukemiabreakdown →
1984646
10
Prognostic discrimination in "good-risk" chronic granulocytic leukemiabreakdown →
1984722

About Cox Eb

Cox Eb is a scholar working on Genetics, Hematology and Oncology, having authored 10 papers that have together received 2.7k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (3 papers), HER2/EGFR in Cancer Research (3 papers), Acute Myeloid Leukemia Research (2 papers), Estrogen and related hormone effects (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Radiopharmaceutical Chemistry and Applications (1 paper), Bone health and treatments (1 paper) and Breast Cancer Treatment Studies (1 paper). The work is most often cited by research in Hematology (1.3k citations), Genetics (1.2k citations) and Rheumatology (668 citations). Cox Eb has collaborated with scholars based in United States. Frequent co-authors include McCarty Ks, John G. Konrath, Miller Ls, JE Sokal, Michele Baccarani, Francisco Cervantes, S Tura, GA Gomez, C. Y. Tso and BD Clarkson. Their work appears in journals such as Blood 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.

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