Craig T. Jordan
- Hematology top 0.05%
- Acute Myeloid Leukemia Research 108
- Hematopoietic Stem Cell Transplantation 32
- Chronic Myeloid Leukemia Treatments 28
- Multiple Myeloma Research and Treatments 15
- Cancer Research top 0.2%
- Sesquiterpenes and Asteraceae Studies 14
- Genetics top 0.2%
- Oncology top 0.5%
- Molecular Biology top 0.2%
- Histone Deacetylase Inhibitors Research 42
- Protein Degradation and Inhibitors 20
-
- Acute Lymphoblastic Leukemia research 20
- Co-authors
- Mónica L. GuzmánIhor R. LemischkaMark NobleDaniel A. PollyeaJeffrey M. RosenRandall M. RossiShanshan PeiDianna S. Howard
- Cited by
- HematologyCancer ResearchGenetics
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Craig T. Jordan
229 papers receiving 17.0k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Hematology 6.6k
- Cancer Research 3.6k
- Genetics 1.9k
- Oncology 4.5k
- Molecular Biology 10.2k
Countries citing papers authored by Craig T. Jordan
This map shows the geographic impact of Craig T. Jordan'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 Craig T. Jordan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Craig T. Jordan more than expected).
Fields of papers citing papers by Craig T. Jordan
This network shows the impact of papers produced by Craig T. Jordan. 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 Craig T. Jordan. The network helps show where Craig T. Jordan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Craig T. Jordan, 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 | 2024 | 4 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 12 | |
| 4 | 2020 | 19 | |
| 5 | 2020 | 9 | |
| 6 | 2020 | 18 | |
| 7 | 2019 | 127 | |
| 8 | 2019 | 103 | |
| 9 | 2018 | 20 | |
| 10 | Venetoclax with azacitidine disrupts energy metabolism and targets leukemia stem cells in patients with acute myeloid leukemiabreakdown → | 2018 | 481 |
| 11 | 2018 | 5 | |
| 12 | 2017 | 55 | |
| 13 | 2017 | 8 | |
| 14 | 2016 | 166 | |
| 15 | 2016 | 33 | |
| 16 | 2014 | 56 | |
| 17 | 2014 | 21 | |
| 18 | 2014 | 45 | |
| 19 | 2008 | 145 | |
| 20 | 2002 | 334 |
About Craig T. Jordan
Craig T. Jordan is a scholar working on Hematology, Genetics and Cancer Research, having authored 237 papers that have together received 17.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (108 papers), Histone Deacetylase Inhibitors Research (42 papers), Hematopoietic Stem Cell Transplantation (32 papers), Chronic Myeloid Leukemia Treatments (28 papers), Protein Degradation and Inhibitors (20 papers), Acute Lymphoblastic Leukemia research (20 papers), Multiple Myeloma Research and Treatments (15 papers) and Sesquiterpenes and Asteraceae Studies (14 papers). The work is most often cited by research in Hematology (6.6k citations), Cancer Research (3.6k citations) and Genetics (1.9k citations). Craig T. Jordan has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Mónica L. Guzmán, Ihor R. Lemischka, Mark Noble, Daniel A. Pollyea, Jeffrey M. Rosen, Randall M. Rossi, Shanshan Pei, Dianna S. Howard, William Matthews and Michael W. Becker. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.