J. Curtis
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
-
- Acute Myeloid Leukemia Research 3
- Chronic Myeloid Leukemia Treatments 2
- Surgery 3
- Co-authors
- Javier C. Waksman (1 shared paper)Michael I. Greenberg (1 shared paper)Zhiguo Wang (1 shared paper)Hans A. Messner (4 shared papers)E. A. McCulloch (3 shared papers)Michael R. Freeman (1 shared paper)Yi Liu (1 shared paper)R. Mark Henkelman (1 shared paper)
- Journals
- Stem Cells (3 papers)Physiology & Behavior (2 papers)Diabetic Medicine (1 paper)Hematological Oncology (1 paper)Blood (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
J. Curtis
18 papers receiving 536 citations
Peers
Comparison fields: 5 of 99
- Behavioral Neuroscience 50
- Hematology 67
- Pulmonary and Respiratory Medicine 166
- Social Psychology 118
- Genetics 37
Countries citing papers authored by J. Curtis
This map shows the geographic impact of J. Curtis'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 J. Curtis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Curtis more than expected).
Fields of papers citing papers by J. Curtis
This network shows the impact of papers produced by J. Curtis. 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 J. Curtis. The network helps show where J. Curtis may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Curtis, 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 | 2007 | 226 | |
| 2 | 2005 | 68 | |
| 3 | 2005 | 67 | |
| 4 | 1981 | 60 | |
| 5 | 1988 | 28 | |
| 6 | 1990 | 21 | |
| 7 | 1998 | 20 | |
| 8 | The influence of morphology on prognosis in acute leukemia. | 1967 | 19 |
| 9 | 2017 | 13 | |
| 10 | 1996 | 13 | |
| 11 | 1972 | 11 | |
| 12 | 1986 | 5 | |
| 13 | 1986 | 5 | |
| 14 | 1998 | 4 | |
| 15 | 1981 | 2 | |
| 16 | 1986 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2001 | 1 |
About J. Curtis
J. Curtis is a scholar working on Hematology, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 18 papers that have together received 565 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Neuroendocrine regulation and behavior (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Memory and Neural Mechanisms (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Diabetes Management and Research (1 paper), Click Chemistry and Applications (1 paper) and Cerebrospinal fluid and hydrocephalus (1 paper). The work is most often cited by research in Behavioral Neuroscience (50 citations), Hematology (67 citations), Pulmonary and Respiratory Medicine (166 citations), Social Psychology (118 citations) and Genetics (37 citations). J. Curtis has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Javier C. Waksman, Michael I. Greenberg, Zhiguo Wang, Hans A. Messner, E. A. McCulloch, Michael R. Freeman, Yi Liu, R. Mark Henkelman, P Y Poon and R. Scott Hinks. Their work appears in journals such as Stem Cells, Physiology & Behavior, Diabetic Medicine, Hematological Oncology and Blood.
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.