A Goodacre
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Acute Myeloid Leukemia Research 4
- Chronic Myeloid Leukemia Treatments 3
- Multiple Myeloma Research and Treatments 2
- Hematopoietic Stem Cell Transplantation 2
-
- Lymphoma Diagnosis and Treatment 7
- Co-authors
- Sen Pathak (3 shared papers)Raymond Alexanian (2 shared papers)Barbara K. Hecht (2 shared papers)Michael Andreeff (7 shared papers)B Barlogie (1 shared paper)Fernando Cabanillas (6 shared papers)Barthel Barlogie (1 shared paper)Virginia Snell (2 shared papers)
- Journals
- Blood (7 papers)Leukemia (2 papers)Annals of Oncology (2 papers)Gastroenterology (1 paper)British Journal of Haematology (1 paper)
- Partner nations
- United StatesAustriaItaly
In The Last Decade
A Goodacre
17 papers receiving 866 citations
Peers
Comparison fields: 5 of 51
- Hematology 441
- Genetics 328
- Pathology and Forensic Medicine 252
- Oncology 247
- Immunology 130
Countries citing papers authored by A Goodacre
This map shows the geographic impact of A Goodacre'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 Goodacre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Goodacre more than expected).
Fields of papers citing papers by A Goodacre
This network shows the impact of papers produced by A Goodacre. 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 Goodacre. The network helps show where A Goodacre may publish in the future.
Co-authors
The 25 scholars most cited alongside A Goodacre, 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 | 151 | |
| 2 | 1988 | 133 | |
| 3 | 1996 | 132 | |
| 4 | 1993 | 98 | |
| 5 | 1987 | 93 | |
| 6 | Frequent nonrandom chromosome abnormalities in 27 patients with untreated large cell lymphoma and immunoblastic lymphoma. | 1988 | 57 |
| 7 | 1998 | 37 | |
| 8 | 1990 | 34 | |
| 9 | 1991 | 29 | |
| 10 | 1999 | 25 | |
| 11 | 1993 | 24 | |
| 12 | 1998 | 24 | |
| 13 | 1995 | 20 | |
| 14 | 1994 | 20 | |
| 15 | 1996 | 11 | |
| 16 | 1992 | 5 | |
| 17 | 1990 | 2 |
About A Goodacre
A Goodacre is a scholar working on Hematology, Pathology and Forensic Medicine, Genetics, Molecular Biology and Oncology, having authored 17 papers that have together received 895 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Acute Myeloid Leukemia Research (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Multiple Myeloma Research and Treatments (2 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Hematology (441 citations), Genetics (328 citations), Pathology and Forensic Medicine (252 citations), Oncology (247 citations) and Immunology (130 citations). A Goodacre has collaborated with scholars based in United States, Austria and Italy. Frequent co-authors include Sen Pathak, Raymond Alexanian, Barbara K. Hecht, Michael Andreeff, B Barlogie, Fernando Cabanillas, Barthel Barlogie, Virginia Snell, Gisela Sanchez‐Williams and X. Zhang. Their work appears in journals such as Blood, Leukemia, Annals of Oncology, Gastroenterology and British Journal of Haematology.
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.