Kim E. Wells
Impact in
- Parasitology top 10%
- Parasites and Host Interactions
- Molecular Biology top 10%
- Muscle Physiology and Disorders
- RNA Interference and Gene Delivery
- Heat shock proteins research
- CRISPR and Genetic Engineering
Papers in
-
- Muscle Physiology and Disorders 14
- RNA Interference and Gene Delivery 3
- Genetics 7
- Virus-based gene therapy research 7
- Co-authors
- Dominic J. Wells (18 shared papers)John S. Cordingley (4 shared papers)Frank S. Walsh (2 shared papers)Jill McMahon (3 shared papers)Kevin P. Campbell (1 shared paper)Emmanuel A. Asante (1 shared paper)Yoshihide Sunada (1 shared paper)Ke Liu (1 shared paper)
- Journals
- Human Molecular Genetics (5 papers)Gene Therapy (2 papers)Neuromuscular Disorders (2 papers)Parasitology (1 paper)Analytical Biochemistry (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Kim E. Wells
24 papers receiving 917 citations
Peers
Comparison fields: 5 of 86
- Parasitology 71
- Molecular Biology 747
- Genetics 272
- Aging 14
- Genetics 72
Countries citing papers authored by Kim E. Wells
This map shows the geographic impact of Kim E. Wells'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 Kim E. Wells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim E. Wells more than expected).
Fields of papers citing papers by Kim E. Wells
This network shows the impact of papers produced by Kim E. Wells. 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 Kim E. Wells. The network helps show where Kim E. Wells may publish in the future.
Co-authors
The 25 scholars most cited alongside Kim E. Wells, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 133 | |
| 2 | 2003 | 130 | |
| 3 | 2015 | 111 | |
| 4 | 2000 | 71 | |
| 5 | 2003 | 66 | |
| 6 | 1992 | 61 | |
| 7 | 2002 | 59 | |
| 8 | 1991 | 57 | |
| 9 | 1989 | 35 | |
| 10 | 2013 | 33 | |
| 11 | 2002 | 26 | |
| 12 | 2002 | 25 | |
| 13 | 2008 | 22 | |
| 14 | 1998 | 22 | |
| 15 | What do animal models have to tell us regarding Duchenne muscular dystrophy? | 2005 | 22 |
| 16 | 1994 | 13 | |
| 17 | 1991 | 12 | |
| 18 | 2020 | 10 | |
| 19 | 2015 | 10 | |
| 20 | 2018 | 10 |
About Kim E. Wells
Kim E. Wells is a scholar working on Molecular Biology, Genetics, Physiology, Biomaterials and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 947 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (14 papers), Virus-based gene therapy research (7 papers), Silk-based biomaterials and applications (4 papers), Adipose Tissue and Metabolism (4 papers), RNA Interference and Gene Delivery (3 papers), Parasites and Host Interactions (3 papers), Cardiomyopathy and Myosin Studies (3 papers) and Parasite Biology and Host Interactions (2 papers). The work is most often cited by research in Parasitology (71 citations), Molecular Biology (747 citations), Genetics (272 citations), Aging (14 citations) and Genetics (72 citations). Kim E. Wells has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Dominic J. Wells, John S. Cordingley, Frank S. Walsh, Jill McMahon, Kevin P. Campbell, Emmanuel A. Asante, Yoshihide Sunada, Ke Liu, Hamid Dolatshad and David S. Latchman. Their work appears in journals such as Human Molecular Genetics, Gene Therapy, Neuromuscular Disorders, Parasitology and Analytical Biochemistry.
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.