Kate Timms
Impact in
- Molecular Biology top 0.5%
- Extracellular vesicles in disease
- Genetics top 2%
- Mesenchymal stem cell research
Papers in
-
- Pregnancy and preeclampsia studies 1
- Gestational Diabetes Research and Management 1
-
- Bacterial Identification and Susceptibility Testing 1
- Co-authors
- Melissa Westwood (2 shared papers)Jenny Myers (1 shared paper)John Aplin (1 shared paper)Simon Gates (1 shared paper)Claire Wilson (1 shared paper)Bronagh Blackwood (1 shared paper)Daniel Francis McAuley (1 shared paper)Ronan McMullan (1 shared paper)
- Journals
- Journal of Extracellular Vesicles (2 papers)European Journal of Obstetrics & Gynecology and Reproductive Biology (1 paper)Experimental Dermatology (1 paper)Intensive Care Medicine (1 paper)Nature Reviews Endocrinology (1 paper)
- Partner nations
- United KingdomNew Zealand
In The Last Decade
Kate Timms
8 papers receiving 9.4k citations
Kate Timms's Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 7.8k
- Genetics 369
- Obstetrics and Gynecology 221
- Cancer Research 250
- Rehabilitation 114
Countries citing papers authored by Kate Timms
This map shows the geographic impact of Kate Timms'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 Kate Timms with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate Timms more than expected).
Fields of papers citing papers by Kate Timms
This network shows the impact of papers produced by Kate Timms. 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 Kate Timms. The network helps show where Kate Timms may publish in the future.
Co-authors
The 25 scholars most cited alongside Kate Timms, 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 | Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines Hit paper breakdown → | 2018 | 9075 |
| 2 | Tracking placental development in health and disease Hit paper breakdown → | 2020 | 276 |
| 3 | 2014 | 98 | |
| 4 | 2022 | 28 | |
| 5 | 2020 | 8 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 2 | |
| 8 | 2018 | 1 |
About Kate Timms
Kate Timms is a scholar working on Obstetrics and Gynecology, Clinical Biochemistry, Molecular Biology, Dermatology and Pharmacology, having authored 8 papers that have together received 9.5k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (4 papers), Coffee research and impacts (1 paper), Pregnancy and preeclampsia studies (1 paper), Gestational Diabetes Research and Management (1 paper), Dermatology and Skin Diseases (1 paper) and Bacterial Identification and Susceptibility Testing (1 paper). The work is most often cited by research in Molecular Biology (7.8k citations), Genetics (369 citations), Obstetrics and Gynecology (221 citations), Cancer Research (250 citations) and Rehabilitation (114 citations). Kate Timms has collaborated with scholars based in United Kingdom and New Zealand. Frequent co-authors include Melissa Westwood, Jenny Myers, John Aplin, Simon Gates, Claire Wilson, Bronagh Blackwood, Daniel Francis McAuley, Ronan McMullan, Geoff Warhurst and Gavin D. Perkins. Their work appears in journals such as Journal of Extracellular Vesicles, European Journal of Obstetrics & Gynecology and Reproductive Biology, Experimental Dermatology, Intensive Care Medicine and Nature Reviews Endocrinology.
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.