Heidi Bissig
Impact in
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Cancer-related Molecular Pathways
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- Gene expression and cancer classification 2
- Renal and related cancers 2
- Ion channel regulation and function 1
-
- Renal cell carcinoma treatment 1
- Co-authors
- Michael J. Mihatsch (4 shared papers)Peter Schraml (3 shared papers)Antonio Nocito (3 shared papers)Juha Kononen (3 shared papers)Olli Kallioniemi (1 shared paper)Lukas Bubendorf (1 shared paper)H. Moch (1 shared paper)G Sauter (1 shared paper)
- Journals
- Human Pathology (2 papers)American Journal Of Pathology (2 papers)The Journal of Pathology (1 paper)Emergency Radiology (1 paper)Pediatric Research (1 paper)
- Partner nations
- SwitzerlandUnited StatesChile
In The Last Decade
Heidi Bissig
8 papers receiving 830 citations
Peers
Comparison fields: 5 of 64
- Oncology 330
- Cancer Research 160
- Molecular Biology 421
- Pulmonary and Respiratory Medicine 140
- Reproductive Medicine 34
Countries citing papers authored by Heidi Bissig
This map shows the geographic impact of Heidi Bissig'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 Heidi Bissig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heidi Bissig more than expected).
Fields of papers citing papers by Heidi Bissig
This network shows the impact of papers produced by Heidi Bissig. 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 Heidi Bissig. The network helps show where Heidi Bissig may publish in the future.
Co-authors
The 25 scholars most cited alongside Heidi Bissig, 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 | Tissue microarrays for gene amplification surveys in many different tumor types. | 1999 | 387 |
| 2 | 2003 | 144 | |
| 3 | 2003 | 126 | |
| 4 | 1999 | 95 | |
| 5 | 2002 | 62 | |
| 6 | 2002 | 15 | |
| 7 | 2007 | 14 | |
| 8 | 2000 | 14 |
About Heidi Bissig
Heidi Bissig is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Neurology and Surgery, having authored 8 papers that have together received 857 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (3 papers), Gene expression and cancer classification (2 papers), Renal and related cancers (2 papers), Neuroblastoma Research and Treatments (2 papers), Cancer Mechanisms and Therapy (1 paper), Cancer Genomics and Diagnostics (1 paper), Ion channel regulation and function (1 paper) and Renal cell carcinoma treatment (1 paper). The work is most often cited by research in Oncology (330 citations), Cancer Research (160 citations), Molecular Biology (421 citations), Pulmonary and Respiratory Medicine (140 citations) and Reproductive Medicine (34 citations). Heidi Bissig has collaborated with scholars based in Switzerland, United States and Chile. Frequent co-authors include Michael J. Mihatsch, Peter Schraml, Antonio Nocito, Juha Kononen, Olli Kallioniemi, Lukas Bubendorf, H. Moch, G Sauter, Guido Sauter and Philippe Haas. Their work appears in journals such as Human Pathology, American Journal Of Pathology, The Journal of Pathology, Emergency Radiology and Pediatric Research.
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.