Harriette J. Kahn
- Oncology top 1%
- HER2/EGFR in Cancer Research 11
- Cancer Cells and Metastasis 8
- Dermatology top 1%
- Cancer Research top 2%
- Breast Cancer Treatment Studies 17
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research 7
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- Breast Lesions and Carcinomas 7
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- S100 Proteins and Annexins 8
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- Skin and Cellular Biology Research 7
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- Salivary Gland Tumors Diagnosis and Treatment 7
- Co-authors
- Alexander MarksReuben BaumalLynn FromDenis BaileyWedad HannaHeather ThomIrving DardickDavid R. McCready
- Cited by
- OncologyDermatologyCancer Research
- Journals
- Journal of Biological Chemistry (1 paper)Journal of Clinical Investigation (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Harriette J. Kahn
78 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 109
- Oncology 2.1k
- Dermatology 446
- Cancer Research 665
- Immunology and Allergy 241
- Pathology and Forensic Medicine 596
Countries citing papers authored by Harriette J. Kahn
This map shows the geographic impact of Harriette J. Kahn'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 Harriette J. Kahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harriette J. Kahn more than expected).
Fields of papers citing papers by Harriette J. Kahn
This network shows the impact of papers produced by Harriette J. Kahn. 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 Harriette J. Kahn. The network helps show where Harriette J. Kahn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Harriette J. Kahn, 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 | 2013 | 19 | |
| 2 | 2008 | 63 | |
| 3 | 2007 | 8 | |
| 4 | Analysis of the HER2/neu gene amplification in microdissected breast cancer tumour samples. | 2006 | 3 |
| 5 | 2006 | 57 | |
| 6 | 2005 | 116 | |
| 7 | 2005 | 35 | |
| 8 | 2004 | 80 | |
| 9 | 2002 | 354 | |
| 10 | 2001 | 43 | |
| 11 | 2001 | 39 | |
| 12 | 2000 | 45 | |
| 13 | 2000 | 31 | |
| 14 | 1998 | 66 | |
| 15 | 1996 | 13 | |
| 16 | 1994 | 41 | |
| 17 | 1991 | 19 | |
| 18 | 1990 | 3 | |
| 19 | 1989 | 13 | |
| 20 | Differences in lectin binding in tissue sections of human and murine malignant tumors and their metastases. | 1985 | 32 |
About Harriette J. Kahn
Harriette J. Kahn is a scholar working on Oncology, Cancer Research and Immunology and Allergy, having authored 78 papers that have together received 3.8k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (17 papers), HER2/EGFR in Cancer Research (11 papers), Cancer Cells and Metastasis (8 papers), S100 Proteins and Annexins (8 papers), Skin and Cellular Biology Research (7 papers), Cell Adhesion Molecules Research (7 papers), Salivary Gland Tumors Diagnosis and Treatment (7 papers) and Breast Lesions and Carcinomas (7 papers). The work is most often cited by research in Oncology (2.1k citations), Dermatology (446 citations) and Cancer Research (665 citations). Harriette J. Kahn has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Alexander Marks, Reuben Baumal, Lynn From, Denis Bailey, Wedad Hanna, Heather Thom, Irving Dardick, David R. McCready, Steffen Albrecht and Norman J. Lassam. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Clinical 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.