Jake Shortt
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
- Oncology top 5%
- CAR-T cell therapy research
Papers in
- Hematology 58
- Acute Myeloid Leukemia Research 26
- Multiple Myeloma Research and Treatments 15
- Chronic Myeloid Leukemia Treatments 11
-
- Protein Degradation and Inhibitors 23
- Histone Deacetylase Inhibitors Research 14
- Co-authors
- Ricky W. Johnstone (32 shared papers)James E. Bradner (4 shared papers)Christopher J. Ott (3 shared papers)Andrew Spencer (7 shared papers)Benjamin Martin (7 shared papers)Leonie A. Cluse (4 shared papers)Johannes Zuber (4 shared papers)P. Leif Bergsagel (5 shared papers)
- Journals
- Blood (22 papers)HemaSphere (6 papers)British Journal of Haematology (5 papers)Journal of Clinical Oncology (4 papers)Transfusion (4 papers)
- Partner nations
- AustraliaUnited StatesItaly
In The Last Decade
Jake Shortt
113 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 112
- Hematology 629
- Oncology 696
- Genetics 236
- Immunology 466
- Molecular Biology 1.3k
Countries citing papers authored by Jake Shortt
This map shows the geographic impact of Jake Shortt'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 Jake Shortt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jake Shortt more than expected).
Fields of papers citing papers by Jake Shortt
This network shows the impact of papers produced by Jake Shortt. 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 Jake Shortt. The network helps show where Jake Shortt may publish in the future.
Co-authors
The 25 scholars most cited alongside Jake Shortt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 241 | |
| 2 | 2012 | 154 | |
| 3 | 2012 | 146 | |
| 4 | 2013 | 117 | |
| 5 | 2014 | 100 | |
| 6 | 2015 | 93 | |
| 7 | 2015 | 83 | |
| 8 | 2013 | 76 | |
| 9 | 2017 | 71 | |
| 10 | 2015 | 70 | |
| 11 | 2013 | 63 | |
| 12 | 2012 | 62 | |
| 13 | 2012 | 52 | |
| 14 | 2012 | 51 | |
| 15 | 2016 | 50 | |
| 16 | 2016 | 50 | |
| 17 | 2017 | 48 | |
| 18 | 2006 | 46 | |
| 19 | 2013 | 42 | |
| 20 | 2009 | 36 |
About Jake Shortt
Jake Shortt is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 123 papers that have together received 2.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (26 papers), Protein Degradation and Inhibitors (23 papers), Lymphoma Diagnosis and Treatment (23 papers), Multiple Myeloma Research and Treatments (15 papers), Histone Deacetylase Inhibitors Research (14 papers), Chronic Lymphocytic Leukemia Research (14 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (12 papers) and Chronic Myeloid Leukemia Treatments (11 papers). The work is most often cited by research in Hematology (629 citations), Oncology (696 citations), Genetics (236 citations), Immunology (466 citations) and Molecular Biology (1.3k citations). Jake Shortt has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include Ricky W. Johnstone, James E. Bradner, Christopher J. Ott, Andrew Spencer, Benjamin Martin, Leonie A. Cluse, Johannes Zuber, P. Leif Bergsagel, Marta Chesi and Geoffrey M. Matthews. Their work appears in journals such as Blood, HemaSphere, British Journal of Haematology, Journal of Clinical Oncology and Transfusion.
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.