Kim Morrison
Impact in
- Library and Information Sciences top 10%
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- RNA and protein synthesis mechanisms
- Chemical Synthesis and Analysis
- Protein Structure and Dynamics
- Glycosylation and Glycoproteins Research
- Advanced biosensing and bioanalysis techniques
Papers in
-
- Signaling Pathways in Disease 2
- Glycosylation and Glycoproteins Research 2
- Genetics, Bioinformatics, and Biomedical Research 1
- RNA and protein synthesis mechanisms 1
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- Gregory A. Weiss (3 shared papers)Peter J. Belshaw (2 shared papers)Joseph Schoepfer (2 shared papers)Stuart L. Schreiber (2 shared papers)Katsuyuki Murase (1 shared paper)Phillip Y. Tam (1 shared paper)Ryan Stafford (1 shared paper)Frances Jurnak (1 shared paper)
- Journals
- Library trends (1 paper)Nature Chemical Biology (1 paper)Current Opinion in Chemical Biology (1 paper)Angewandte Chemie (1 paper)Chemistry & Biology (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Kim Morrison
6 papers receiving 494 citations
Peers
Comparison fields: 5 of 89
- Library and Information Sciences 9
- Molecular Biology 400
- Microbiology 25
- Radiology, Nuclear Medicine and Imaging 80
- Biotechnology 21
Countries citing papers authored by Kim Morrison
This map shows the geographic impact of Kim Morrison'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 Morrison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Morrison more than expected).
Fields of papers citing papers by Kim Morrison
This network shows the impact of papers produced by Kim Morrison. 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 Morrison. The network helps show where Kim Morrison may publish in the future.
Co-authors
The 8 scholars most cited alongside Kim Morrison, 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 | 2001 | 335 | |
| 2 | 1995 | 79 | |
| 3 | 2003 | 51 | |
| 4 | 2017 | 20 | |
| 5 | 2005 | 16 | |
| 6 | 1995 | 4 |
About Kim Morrison
Kim Morrison is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Surgery, Sociology and Political Science and Oncology, having authored 6 papers that have together received 505 indexed citations. Recurring topics across this work include Signaling Pathways in Disease (2 papers), Glycosylation and Glycoproteins Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Literacy, Media, and Education (1 paper), Cardiac Structural Anomalies and Repair (1 paper), Critical Race Theory in Education (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Library and Information Sciences (9 citations), Molecular Biology (400 citations), Microbiology (25 citations), Radiology, Nuclear Medicine and Imaging (80 citations) and Biotechnology (21 citations). Kim Morrison has collaborated with scholars based in United States and France. Frequent co-authors include Gregory A. Weiss, Peter J. Belshaw, Joseph Schoepfer, Stuart L. Schreiber, Katsuyuki Murase, Phillip Y. Tam, Ryan Stafford and Frances Jurnak. Their work appears in journals such as Library trends, Nature Chemical Biology, Current Opinion in Chemical Biology, Angewandte Chemie and Chemistry & Biology.
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.