Jim Smith
Impact in
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- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
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- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Cancer-related gene regulation
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
Papers in
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- Epigenetics and DNA Methylation 7
- CRISPR and Genetic Engineering 5
- Cancer-related gene regulation 3
- Pluripotent Stem Cells Research 2
- RNA modifications and cancer 2
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- Autophagy in Disease and Therapy 2
- Co-authors
- Robert J. Weeks (7 shared papers)Aniruddha Chatterjee (7 shared papers)Michael R. Eccles (4 shared papers)Swapnoleena Sen (1 shared paper)Jean‐Louis Rivail (1 shared paper)Richard Lavery (1 shared paper)Robert C. Day (2 shared papers)Dylan R. Edwards (1 shared paper)
- Journals
- Cancers (3 papers)Trends in cancer (2 papers)Biochemical and Biophysical Research Communications (1 paper)BMC Geriatrics (1 paper)International review of cell and molecular biology (1 paper)
- Partner nations
- New ZealandIndiaAustralia
In The Last Decade
Jim Smith
12 papers receiving 310 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 52
- Molecular Biology 208
- Aging 2
- Oncology 27
- Pulmonary and Respiratory Medicine 30
Countries citing papers authored by Jim Smith
This map shows the geographic impact of Jim Smith'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 Jim Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Smith more than expected).
Fields of papers citing papers by Jim Smith
This network shows the impact of papers produced by Jim Smith. 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 Jim Smith. The network helps show where Jim Smith may publish in the future.
Co-authors
The 23 scholars most cited alongside Jim Smith, 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 | 2020 | 170 | |
| 2 | 2019 | 55 | |
| 3 | 2021 | 29 | |
| 4 | Advances in biomolecular simulations | 1991 | 23 |
| 5 | 2021 | 13 | |
| 6 | 2022 | 6 | |
| 7 | 1987 | 6 | |
| 8 | 2022 | 3 | |
| 9 | 2023 | 3 | |
| 10 | 2022 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2022 | 1 |
About Jim Smith
Jim Smith is a scholar working on Molecular Biology, Epidemiology, Health, Clinical Psychology and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 312 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), CRISPR and Genetic Engineering (5 papers), Cancer-related gene regulation (3 papers), Pluripotent Stem Cells Research (2 papers), Autophagy in Disease and Therapy (2 papers), RNA modifications and cancer (2 papers), Genetics and Neurodevelopmental Disorders (1 paper) and Prostate Cancer Treatment and Research (1 paper). The work is most often cited by research in Cancer Research (52 citations), Molecular Biology (208 citations), Aging (2 citations), Oncology (27 citations) and Pulmonary and Respiratory Medicine (30 citations). Jim Smith has collaborated with scholars based in New Zealand, India and Australia. Frequent co-authors include Robert J. Weeks, Aniruddha Chatterjee, Michael R. Eccles, Swapnoleena Sen, Jean‐Louis Rivail, Richard Lavery, Robert C. Day, Dylan R. Edwards, Grégory Gimenez and Craig L.J. Parfett. Their work appears in journals such as Cancers, Trends in cancer, Biochemical and Biophysical Research Communications, BMC Geriatrics and International review of cell and molecular 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.