James Hicks
Impact in
- Molecular Biology top 0.05%
- Fungal and yeast genetics research
- DNA Repair Mechanisms
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- RNA Research and Splicing
- Cancer Research top 0.2%
- Cancer Genomics and Diagnostics
Papers in
-
- Cancer Genomics and Diagnostics 57
- Oncology 56
- Cancer Cells and Metastasis 25
- Cancer-related Molecular Pathways 14
- Co-authors
- Gerald R. FinkFred ShermanJonathan WoodStephen L. DellaportaJeffrey N. StrathernA. HinnenJames R. BroachAmar J. S. Klar
- Journals
- Molecular and Cellular Biology (18 papers)Cancer Research (10 papers)Cell (9 papers)Genetics (8 papers)Nature (7 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
James Hicks
177 papers receiving 31.6k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Molecular Biology 24.1k
- Cancer Research 4.0k
- Plant Science 9.1k
- Cell Biology 3.1k
- Genetics 4.9k
Countries citing papers authored by James Hicks
This map shows the geographic impact of James Hicks'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 James Hicks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Hicks more than expected).
Fields of papers citing papers by James Hicks
This network shows the impact of papers produced by James Hicks. 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 James Hicks. The network helps show where James Hicks may publish in the future.
Co-authorship network
The 25 scholars most cited alongside James Hicks, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 10 | |
| 4 | 2023 | 14 | |
| 5 | 2022 | 22 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 16 | |
| 9 | 2021 | 42 | |
| 10 | 2020 | 61 | |
| 11 | 2020 | 39 | |
| 12 | 2020 | 25 | |
| 13 | 2020 | 40 | |
| 14 | 2020 | 26 | |
| 15 | 2018 | 85 | |
| 16 | 2012 | 92 | |
| 17 | Methods in Yeast Genetics: A Laboratory Course Manual | 1987 | 167 |
| 18 | Laboratory course manual for methods in yeast genetics Hit paper breakdown → | 1986 | 1235 |
| 19 | 1984 | 36 | |
| 20 | Methods in yeast genetics Hit paper breakdown → | 1979 | 7219 |
About James Hicks
James Hicks is a scholar working on Cancer Research, Oncology, Ophthalmology, Aging and Molecular Biology, having authored 182 papers that have together received 33.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (57 papers), Fungal and yeast genetics research (48 papers), Single-cell and spatial transcriptomics (25 papers), Cancer Cells and Metastasis (25 papers), Ocular Oncology and Treatments (17 papers), Cancer-related Molecular Pathways (14 papers), Plant Reproductive Biology (13 papers) and Genomic variations and chromosomal abnormalities (12 papers). The work is most often cited by research in Molecular Biology (24.1k citations), Cancer Research (4.0k citations), Plant Science (9.1k citations), Cell Biology (3.1k citations) and Genetics (4.9k citations). James Hicks has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Gerald R. Fink, Fred Sherman, Jonathan Wood, Stephen L. Dellaporta, Jeffrey N. Strathern, A. Hinnen, James R. Broach, Amar J. S. Klar, Nicholas E. Navin and Ira Herskowitz. Their work appears in journals such as Molecular and Cellular Biology, Cancer Research, Cell, Genetics and Nature.
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.