E B Cox
Impact in
- Hematology top 1%
- Chronic Myeloid Leukemia Treatments
- Cancer Research top 5%
- Breast Cancer Treatment Studies
Papers in
-
- Breast Cancer Treatment Studies 4
- Oncology 3
- Cancer Diagnosis and Treatment 1
- Chemokine receptors and signaling 1
- Cutaneous Melanoma Detection and Management 1
- Co-authors
- Kenneth Scott McCarty (4 shared papers)John G. Konrath (2 shared papers)LARRY S. MILLER (1 shared paper)C. Y. Tso (1 shared paper)BD Clarkson (1 shared paper)Michele Baccarani (1 shared paper)Sante Tura (1 shared paper)GA Gomez (1 shared paper)
- Journals
- Blood (2 papers)JAMA (1 paper)PubMed (6 papers)
- Partner nations
- United States
In The Last Decade
E B Cox
9 papers receiving 2.3k citations
E B Cox's Hit Papers
Peers
Comparison fields: 5 of 83
- Hematology 890
- Cancer Research 432
- Oncology 280
- Reproductive Medicine 103
- Pathology and Forensic Medicine 119
Countries citing papers authored by E B Cox
This map shows the geographic impact of E B Cox'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 E B Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E B Cox more than expected).
Fields of papers citing papers by E B Cox
This network shows the impact of papers produced by E B Cox. 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 E B Cox. The network helps show where E B Cox may publish in the future.
Co-authors
The 24 scholars most cited alongside E B Cox, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Prognostic discrimination in "good-risk" chronic granulocytic leukemia Hit paper breakdown → | 1984 | 945 |
| 2 | Estrogen receptor analyses. Correlation of biochemical and immunohistochemical methods using monoclonal antireceptor antibodies. Hit paper breakdown → | 1985 | 939 |
| 3 | Use of a monoclonal anti-estrogen receptor antibody in the immunohistochemical evaluation of human tumors. | 1986 | 383 |
| 4 | 1984 | 41 | |
| 5 | Sex related survival differences in instances of melanoma. | 1984 | 29 |
| 6 | Elastosis in human breast cancer. Correlation with sex steroid receptors and comparison with clinical outcome. | 1984 | 17 |
| 7 | Clinical response to hormone therapy correlated with estrogen receptor analyses. Biochemical v histochemical methods. | 1984 | 12 |
| 8 | 1979 | 6 | |
| 9 | Phase II study of human lymphoblastoid interferon in patients with multiple myeloma. | 1988 | 4 |
About E B Cox
E B Cox is a scholar working on Cancer Research, Oncology, Hematology, Genetics and Pathology and Forensic Medicine, having authored 9 papers that have together received 2.4k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (4 papers), Estrogen and related hormone effects (3 papers), Breast Lesions and Carcinomas (1 paper), Cancer Diagnosis and Treatment (1 paper), Chemokine receptors and signaling (1 paper), Cutaneous Melanoma Detection and Management (1 paper), Multiple Myeloma Research and Treatments (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Hematology (890 citations), Cancer Research (432 citations), Oncology (280 citations), Reproductive Medicine (103 citations) and Pathology and Forensic Medicine (119 citations). E B Cox has collaborated with scholars based in United States. Frequent co-authors include Kenneth Scott McCarty, John G. Konrath, LARRY S. MILLER, C. Y. Tso, BD Clarkson, Michele Baccarani, Sante Tura, GA Gomez, JE Sokal and Francisco Cervantes. Their work appears in journals such as Blood, JAMA 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.