A Tobler
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- RNA modifications and cancer 6
- Hematology 22
- Acute Myeloid Leukemia Research 15
- Chronic Myeloid Leukemia Treatments 8
- Co-authors
- Martin F. Fey (22 shared papers)H. Phillip Koeffler (6 shared papers)Judith C. Gasson (2 shared papers)M.F. Fey (10 shared papers)J Schwaller (6 shared papers)Tobias Grob (3 shared papers)Anthony W. Norman (3 shared papers)H Studer (3 shared papers)
- Journals
- Blood (8 papers)Annals of Oncology (8 papers)Journal of Clinical Investigation (5 papers)Annals of Hematology (5 papers)Leukemia (5 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
A Tobler
69 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 112
- Hematology 513
- Genetics 359
- Oncology 741
- Pathology and Forensic Medicine 339
- Immunology 388
Countries citing papers authored by A Tobler
This map shows the geographic impact of A Tobler'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 A Tobler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Tobler more than expected).
Fields of papers citing papers by A Tobler
This network shows the impact of papers produced by A Tobler. 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 A Tobler. The network helps show where A Tobler may publish in the future.
Co-authors
The 25 scholars most cited alongside A Tobler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 293 | |
| 2 | 1995 | 129 | |
| 3 | 1994 | 111 | |
| 4 | 1995 | 106 | |
| 5 | 1988 | 103 | |
| 6 | 1987 | 88 | |
| 7 | 2000 | 88 | |
| 8 | 1994 | 88 | |
| 9 | 1992 | 83 | |
| 10 | 1994 | 65 | |
| 11 | 1993 | 63 | |
| 12 | 1994 | 62 | |
| 13 | 1986 | 56 | |
| 14 | 1994 | 55 | |
| 15 | 1988 | 47 | |
| 16 | 2005 | 42 | |
| 17 | 2003 | 42 | |
| 18 | 2002 | 37 | |
| 19 | Distinct expression patterns of the p53-homologue p73 in malignant and normal hematopoiesis assessed by a novel real-time reverse transcription-polymerase chain reaction assay and protein analysis. | 1999 | 37 |
| 20 | 2001 | 35 |
About A Tobler
A Tobler is a scholar working on Molecular Biology, Hematology, Oncology, Immunology and Genetics, having authored 70 papers that have together received 2.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Cancer-related Molecular Pathways (10 papers), Chronic Lymphocytic Leukemia Research (9 papers), Chronic Myeloid Leukemia Treatments (8 papers), Immune Response and Inflammation (7 papers), Lymphoma Diagnosis and Treatment (7 papers), RNA modifications and cancer (6 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers). The work is most often cited by research in Hematology (513 citations), Genetics (359 citations), Oncology (741 citations), Pathology and Forensic Medicine (339 citations) and Immunology (388 citations). A Tobler has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Martin F. Fey, H. Phillip Koeffler, Judith C. Gasson, M.F. Fey, J Schwaller, Tobias Grob, Anthony W. Norman, H Studer, Pius Loetscher and Barbara Hügli. Their work appears in journals such as Blood, Annals of Oncology, Journal of Clinical Investigation, Annals of Hematology and Leukemia.
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.