Kirk E. Cahill
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- NF-κB Signaling Pathways
- MicroRNA in disease regulation
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
-
- Histone Deacetylase Inhibitors Research 4
-
- Acute Myeloid Leukemia Research 7
- Chronic Myeloid Leukemia Treatments 3
- Multiple Myeloma Research and Treatments 3
- Co-authors
- Bakhtiar Yamini (8 shared papers)Ramin A. Morshed (1 shared paper)Ralph R. Weichselbaum (7 shared papers)Giovanna M. Bernal (7 shared papers)Peter Pytel (3 shared papers)Clayton D. Crawley (5 shared papers)David J. Voce (5 shared papers)Longtao Wu (4 shared papers)
- Journals
- Blood (3 papers)Blood Advances (3 papers)Transplantation (2 papers)Cancer Research (2 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- United StatesPhilippinesGermany
In The Last Decade
Kirk E. Cahill
23 papers receiving 583 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 164
- Genetics 104
- Aging 10
- Biomaterials 63
- Immunology 74
Countries citing papers authored by Kirk E. Cahill
This map shows the geographic impact of Kirk E. Cahill'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 Kirk E. Cahill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kirk E. Cahill more than expected).
Fields of papers citing papers by Kirk E. Cahill
This network shows the impact of papers produced by Kirk E. Cahill. 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 Kirk E. Cahill. The network helps show where Kirk E. Cahill may publish in the future.
Co-authors
The 25 scholars most cited alongside Kirk E. Cahill, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 114 | |
| 2 | 2013 | 86 | |
| 3 | 2019 | 80 | |
| 4 | 2014 | 76 | |
| 5 | 2015 | 50 | |
| 6 | 2018 | 45 | |
| 7 | 2021 | 30 | |
| 8 | 2022 | 19 | |
| 9 | 2021 | 17 | |
| 10 | 2015 | 16 | |
| 11 | 2015 | 10 | |
| 12 | 2019 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2020 | 8 | |
| 15 | 1998 | 7 | |
| 16 | 2020 | 4 | |
| 17 | 2019 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2025 | 1 | |
| 20 | 2023 | 1 |
About Kirk E. Cahill
Kirk E. Cahill is a scholar working on Molecular Biology, Hematology, Genetics, Pathology and Forensic Medicine and Oncology, having authored 26 papers that have together received 592 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Lymphoma Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Histone Deacetylase Inhibitors Research (4 papers), NF-κB Signaling Pathways (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and Multiple Myeloma Research and Treatments (3 papers). The work is most often cited by research in Cancer Research (164 citations), Genetics (104 citations), Aging (10 citations), Biomaterials (63 citations) and Immunology (74 citations). Kirk E. Cahill has collaborated with scholars based in United States, Philippines and Germany. Frequent co-authors include Bakhtiar Yamini, Ramin A. Morshed, Ralph R. Weichselbaum, Giovanna M. Bernal, Peter Pytel, Clayton D. Crawley, David J. Voce, Longtao Wu, Nassir M. Mansour and Gustavo Larsen. Their work appears in journals such as Blood, Blood Advances, Transplantation, Cancer Research and Journal of Clinical Oncology.
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.