Joan M. Striebel
- Oncology top 10%
- Cancer Research top 5%
- Pathology and Forensic Medicine top 10%
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Co-authors
- Rohit BhargavaDavid J. DabbsSushil BeriwalLeo A. NiemeierChristine WangKaren MiottoArthur K. ChoJohn C. Flíckinger
- Topics
- HER2/EGFR in Cancer Research (5 papers)Breast Cancer Treatment Studies (4 papers)Breast Lesions and Carcinomas (3 papers)
- Cited by
- ToxicologyCancer ResearchOncology
- Journals
- Journal of Clinical OncologyAntimicrobial Agents and ChemotherapyThe American Journal of Surgical Pathology
- Partner nations
- United StatesSwitzerland
In The Last Decade
Joan M. Striebel
16 papers receiving 804 citations
Peers
Comparison fields: 5 of 77
- Oncology 365
- Cancer Research 330
- Pathology and Forensic Medicine 163
- Molecular Biology 153
- Pulmonary and Respiratory Medicine 149
Countries citing papers authored by Joan M. Striebel
This map shows the geographic impact of Joan M. Striebel'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 Joan M. Striebel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan M. Striebel more than expected).
Fields of papers citing papers by Joan M. Striebel
This network shows the impact of papers produced by Joan M. Striebel. 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 Joan M. Striebel. The network helps show where Joan M. Striebel may publish in the future.
Co-authorship network of co-authors of Joan M. Striebel
This figure shows the co-authorship network connecting the top 25 collaborators of Joan M. Striebel. A scholar is included among the top collaborators of Joan M. Striebel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joan M. Striebel. Joan M. Striebel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 35 | |
| 4 | 46 | |
| 5 | 21 | |
| 6 | 109 | |
| 7 | 10 | |
| 8 | 33 | |
| 9 | 316 | |
| 10 | Prevalence, morphologic features and proliferation indices of breast carcinoma molecular classes using immunohistochemical surrogate markers. | 95 |
| 11 | 34 | |
| 12 | 13 | |
| 13 | 35 | |
| 14 | 41 | |
| 15 | 2 | |
| 16 | 23 |
About Joan M. Striebel
Joan M. Striebel is a scholar working on Biological Psychiatry, Toxicology and Pathology and Forensic Medicine, having authored 16 papers that have together received 826 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (5 papers), Breast Cancer Treatment Studies (4 papers) and Breast Lesions and Carcinomas (3 papers). The work is most often cited by research in Toxicology (108 citations), Cancer Research (330 citations) and Oncology (365 citations). Joan M. Striebel has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Rohit Bhargava, David J. Dabbs, Sushil Beriwal, Leo A. Niemeier, Christine Wang, Karen Miotto, Arthur K. Cho, John C. Flíckinger, Gretchen Ahrendt and Agnieszka Oniśko. Their work appears in journals such as Journal of Clinical Oncology, Antimicrobial Agents and Chemotherapy and The American Journal of Surgical Pathology.
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.