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 6
- Chronic Lymphocytic Leukemia Research 6
- Animal Genetics and Reproduction 1
-
- Acute Lymphoblastic Leukemia research 4
- Co-authors
- Peter C. Nowell̀ (3 shared papers)C M Croce (3 shared papers)Carlo M. Croce (2 shared papers)James A. Hoxie (1 shared paper)Kay Huebner (1 shared paper)Yoshihide Tsujimoto (1 shared paper)Masaharu Isobe (1 shared paper)Frank G. Haluska (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)The Journal of Clinical Endocrinology & Metabolism (1 paper)British Journal of Haematology (1 paper)American Heart Journal (1 paper)PubMed (3 papers)
- Partner nations
- United StatesGermany
In The Last Decade
C E Gauwerky
9 papers receiving 369 citations
Peers
Comparison fields: 5 of 46
- Genetics 113
- Pathology and Forensic Medicine 158
- Cancer Research 88
- Oncology 126
- Hematology 42
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 | 1988 | 105 | |
| 2 | 1989 | 105 | |
| 3 | Pre-B-cell leukemia with a t(8; 14) and a t(14; 18) translocation is preceded by follicular lymphoma. | 1988 | 91 |
| 4 | Chromosomal translocations in leukaemia. | 1993 | 37 |
| 5 | 1980 | 24 | |
| 6 | 1982 | 15 | |
| 7 | 1991 | 5 | |
| 8 | 1974 | 1 | |
| 9 | [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, Hematology, Pathology and Forensic Medicine and Genetics, having authored 9 papers that have together received 384 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (6 papers), Acute Lymphoblastic Leukemia research (4 papers), Acute Myeloid Leukemia Research (2 papers), Cancer Genomics and Diagnostics (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Chronic Myeloid Leukemia Treatments (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Genetics (113 citations), Pathology and Forensic Medicine (158 citations), Cancer Research (88 citations), Oncology (126 citations) and Hematology (42 citations). C E Gauwerky has collaborated with scholars based in United States and Germany. Frequent co-authors include Peter C. Nowell̀, C M Croce, Carlo M. Croce, James A. Hoxie, Kay Huebner, Yoshihide Tsujimoto, Masaharu Isobe, Frank G. Haluska, David W. Golde and U. Kirsch. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism, British Journal of Haematology, American Heart Journal 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.