Tim Kute
Impact in
- Hematology top 5%
- Iron Metabolism and Disorders
- Nutrition and Dietetics top 5%
- Trace Elements in Health
Papers in
-
- Bacterial biofilms and quorum sensing 1
- Cancer therapeutics and mechanisms 1
- Co-authors
- Mark C. Willingham (4 shared papers)Ralph B. D’Agostino (1 shared paper)Wei Wang (1 shared paper)Guangchao Sui (1 shared paper)Heather Hatcher (1 shared paper)Xiumin Di (1 shared paper)Frank M. Torti (1 shared paper)Suzy V. Torti (1 shared paper)
- Journals
- Science Translational Medicine (1 paper)Journal of Surgical Oncology (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)Oncogene (1 paper)Toxicology and Applied Pharmacology (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Tim Kute
9 papers receiving 740 citations
Peers
Comparison fields: 5 of 87
- Hematology 192
- Nutrition and Dietetics 177
- Genetics 114
- Cancer Research 114
- Cell Biology 111
Countries citing papers authored by Tim Kute
This map shows the geographic impact of Tim Kute'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 Tim Kute with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Kute more than expected).
Fields of papers citing papers by Tim Kute
This network shows the impact of papers produced by Tim Kute. 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 Tim Kute. The network helps show where Tim Kute may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Kute, 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 | 2010 | 372 | |
| 2 | 2003 | 119 | |
| 3 | 2001 | 64 | |
| 4 | 1997 | 59 | |
| 5 | 2004 | 39 | |
| 6 | 2006 | 29 | |
| 7 | Influence of coenzyme A-independent transacylase and cyclooxygenase inhibitors on the proliferation of breast cancer cells. | 1999 | 28 |
| 8 | The effects of low-frequency ultrasound (35 kHz) on methicillin-resistant Staphylococcus aureus (MRSA) in vitro. | 2010 | 22 |
| 9 | 2003 | 20 |
About Tim Kute
Tim Kute is a scholar working on Molecular Biology, Cell Biology, Nutrition and Dietetics, Immunology and Allergy and Cancer Research, having authored 9 papers that have together received 752 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (2 papers), Antimicrobial Resistance in Staphylococcus (1 paper), Trace Elements in Health (1 paper), Phagocytosis and Immune Regulation (1 paper), Bacterial biofilms and quorum sensing (1 paper), Biochemical Analysis and Sensing Techniques (1 paper), Cancer therapeutics and mechanisms (1 paper) and Cancer, Lipids, and Metabolism (1 paper). The work is most often cited by research in Hematology (192 citations), Nutrition and Dietetics (177 citations), Genetics (114 citations), Cancer Research (114 citations) and Cell Biology (111 citations). Tim Kute has collaborated with scholars based in United States and Japan. Frequent co-authors include Mark C. Willingham, Ralph B. D’Agostino, Wei Wang, Guangchao Sui, Heather Hatcher, Xiumin Di, Frank M. Torti, Suzy V. Torti, Lia Tesfay and Lance D. Miller. Their work appears in journals such as Science Translational Medicine, Journal of Surgical Oncology, Antimicrobial Agents and Chemotherapy, Oncogene and Toxicology and Applied Pharmacology.
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.