Kiley Graim
Impact in
- Health Informatics top 10%
-
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
Papers in
-
- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 4
- Genomics and Phylogenetic Studies 3
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- Veterinary Oncology Research 3
- Co-authors
- Zachary Greenberg (2 shared papers)Artem Sokolov (3 shared papers)Mei He (2 shared papers)Joshua M. Stuart (5 shared papers)Yulia Newton (3 shared papers)Colleen Mathis (1 shared paper)B. Smith (1 shared paper)Donghui Cheng (1 shared paper)
- Journals
- Shock (2 papers)Cancer Research (2 papers)Advanced Drug Delivery Reviews (1 paper)Scientific Reports (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesNorwaySwitzerland
In The Last Decade
Kiley Graim
18 papers receiving 454 citations
Peers
Comparison fields: 5 of 100
- Health Informatics 13
- Cancer Research 113
- Pulmonary and Respiratory Medicine 137
- Molecular Biology 256
- Oncology 77
Countries citing papers authored by Kiley Graim
This map shows the geographic impact of Kiley Graim'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 Kiley Graim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiley Graim more than expected).
Fields of papers citing papers by Kiley Graim
This network shows the impact of papers produced by Kiley Graim. 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 Kiley Graim. The network helps show where Kiley Graim may publish in the future.
Co-authors
The 25 scholars most cited alongside Kiley Graim, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 144 | |
| 2 | 2023 | 75 | |
| 3 | 2018 | 54 | |
| 4 | 2013 | 48 | |
| 5 | 2017 | 41 | |
| 6 | 2024 | 27 | |
| 7 | 2020 | 12 | |
| 8 | 2022 | 12 | |
| 9 | 2018 | 12 | |
| 10 | 2017 | 10 | |
| 11 | 2023 | 7 | |
| 12 | 2017 | 6 | |
| 13 | 2024 | 6 | |
| 14 | 2025 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2022 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2025 | 0 |
About Kiley Graim
Kiley Graim is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology, Artificial Intelligence and Genetics, having authored 21 papers that have together received 467 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (5 papers), Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (4 papers), Genomics and Phylogenetic Studies (3 papers), Veterinary Oncology Research (3 papers), Machine Learning in Healthcare (3 papers), MicroRNA in disease regulation (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Health Informatics (13 citations), Cancer Research (113 citations), Pulmonary and Respiratory Medicine (137 citations), Molecular Biology (256 citations) and Oncology (77 citations). Kiley Graim has collaborated with scholars based in United States, Norway and Switzerland. Frequent co-authors include Zachary Greenberg, Artem Sokolov, Mei He, Joshua M. Stuart, Yulia Newton, Colleen Mathis, B. Smith, Donghui Cheng, Vladislav Uzunangelov and Robert Baertsch. Their work appears in journals such as Shock, Cancer Research, Advanced Drug Delivery Reviews, Scientific Reports and Nature Communications.
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.