Gabriella Pichert
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- Lymphoma Diagnosis and Treatment 9
- Genetic factors in colorectal cancer 5
- Genetics top 5%
- BRCA gene mutations in cancer 15
- Chronic Lymphocytic Leukemia Research 8
- Genomics and Rare Diseases 5
- Oncology top 5%
- Viral-associated cancers and disorders 5
- CAR-T cell therapy research 4
- Genetics top 5%
- BRCA gene mutations in cancer 15
- Chronic Lymphocytic Leukemia Research 8
- Genomics and Rare Diseases 5
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation 5
- Co-authors
- Rolf A. StahelDiana EcclesL.M. JostD. Gareth EvansA ShentonMichele GhielminiFrancesco BertoniDaniel Betticher
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Gabriella Pichert
46 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 77
- Pathology and Forensic Medicine 507
- Genetics 258
- Oncology 541
- Genetics 478
- Hematology 189
Countries citing papers authored by Gabriella Pichert
This map shows the geographic impact of Gabriella Pichert'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 Gabriella Pichert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriella Pichert more than expected).
Fields of papers citing papers by Gabriella Pichert
This network shows the impact of papers produced by Gabriella Pichert. 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 Gabriella Pichert. The network helps show where Gabriella Pichert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gabriella Pichert, 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 | 2021 | 5 | |
| 2 | 2016 | 2 | |
| 3 | 2011 | 30 | |
| 4 | 2011 | 14 | |
| 5 | 2010 | 17 | |
| 6 | 2008 | 137 | |
| 7 | 2007 | 115 | |
| 8 | 2004 | 5 | |
| 9 | 2003 | 32 | |
| 10 | 2001 | 5 | |
| 11 | 2001 | 22 | |
| 12 | 1999 | 5 | |
| 13 | 1998 | 7 | |
| 14 | 1997 | 22 | |
| 15 | 1995 | 33 | |
| 16 | 1995 | 88 | |
| 17 | 1993 | 10 | |
| 18 | [5 years of dosage intensification and autologous bone marrow or peripheral stem cell transfusion in malignant lymphoma with a high risk of recurrence]. | 1993 | 1 |
| 19 | 1991 | 33 | |
| 20 | 1990 | 55 |
About Gabriella Pichert
Gabriella Pichert is a scholar working on Pathology and Forensic Medicine, Genetics and Hematology, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (15 papers), Lymphoma Diagnosis and Treatment (9 papers), Chronic Lymphocytic Leukemia Research (8 papers), Genomics and Rare Diseases (5 papers), Viral-associated cancers and disorders (5 papers), Hematopoietic Stem Cell Transplantation (5 papers), Genetic factors in colorectal cancer (5 papers) and CAR-T cell therapy research (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (507 citations), Genetics (258 citations) and Oncology (541 citations). Gabriella Pichert has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Rolf A. Stahel, Diana Eccles, L.M. Jost, D. Gareth Evans, A Shenton, Michele Ghielmini, Francesco Bertoni, Daniel Betticher, Doris Schmitter and Jerome Ritz. Their work appears in journals such as Journal of Clinical Oncology, Blood and The Lancet 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.