C E Gauwerky
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 5
- Chronic Lymphocytic Leukemia Research 5
-
- Acute Lymphoblastic Leukemia research 4
- Co-authors
- Peter C. Nowell̀ (3 shared papers)C M Croce (3 shared papers)James A. Hoxie (1 shared paper)Frank G. Haluska (1 shared paper)Carlo M. Croce (1 shared paper)Yoshihide Tsujimoto (1 shared paper)Masaharu Isobe (1 shared paper)Kay Huebner (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)British Journal of Haematology (1 paper)American Heart Journal (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)PubMed (3 papers)
- Partner nations
- United StatesGermany
In The Last Decade
C E Gauwerky
8 papers receiving 350 citations
Peers
Comparison fields: 5 of 45
- Genetics 112
- Pathology and Forensic Medicine 153
- Cancer Research 88
- Oncology 120
- Hematology 41
Countries citing papers authored by C E Gauwerky
This map shows the geographic impact of C E Gauwerky'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 C E Gauwerky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C E Gauwerky more than expected).
Fields of papers citing papers by C E Gauwerky
This network shows the impact of papers produced by C E Gauwerky. 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 C E Gauwerky. The network helps show where C E Gauwerky may publish in the future.
Co-authors
The 13 scholars most cited alongside C E Gauwerky, 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 | 1989 | 100 | |
| 2 | 1988 | 100 | |
| 3 | Pre-B-cell leukemia with a t(8; 14) and a t(14; 18) translocation is preceded by follicular lymphoma. | 1988 | 85 |
| 4 | Chromosomal translocations in leukaemia. | 1993 | 36 |
| 5 | 1980 | 21 | |
| 6 | 1982 | 15 | |
| 7 | 1974 | 1 | |
| 8 | [Treatment results in adult acute leukemia: rate of 1st remission, length of remission, maintainance of remission, prognosis of recurrence]. | 1978 | 1 |
About C E Gauwerky
C E Gauwerky is a scholar working on Genetics, Public Health, Environmental and Occupational Health, Pathology and Forensic Medicine, Hematology and Genetics, having authored 8 papers that have together received 359 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (5 papers), Acute Lymphoblastic Leukemia research (4 papers), Lymphoma Diagnosis and Treatment (2 papers), Acute Myeloid Leukemia Research (2 papers), Pancreatic function and diabetes (1 paper), Cancer Genomics and Diagnostics (1 paper), Analog and Mixed-Signal Circuit Design (1 paper) and Advanced Electrical Measurement Techniques (1 paper). The work is most often cited by research in Genetics (112 citations), Pathology and Forensic Medicine (153 citations), Cancer Research (88 citations), Oncology (120 citations) and Hematology (41 citations). C E Gauwerky has collaborated with scholars based in United States and Germany. Frequent co-authors include Peter C. Nowell̀, C M Croce, James A. Hoxie, Frank G. Haluska, Carlo M. Croce, Yoshihide Tsujimoto, Masaharu Isobe, Kay Huebner, David W. Golde and U. Kirsch. Their work appears in journals such as Proceedings of the National Academy of Sciences, British Journal of Haematology, American Heart Journal, The Journal of Clinical Endocrinology & Metabolism and PubMed.
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.