Janet L. Martin
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- Growth Hormone and Insulin-like Growth Factors 53
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism 20
- Molecular Biology top 2%
- Metabolism, Diabetes, and Cancer 27
- Genetics top 2%
- Virus-based gene therapy research 9
- Clinical Biochemistry top 2%
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- Cancer-related Molecular Pathways 6
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- Cancer Research and Treatments 6
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- Lipid metabolism and disorders 5
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- Neonatal Health and Biochemistry 4
- Co-authors
- Robert C. BaxterCarolyn D. ScottMike Z. LinIan N.H. WhiteCaroline J. SpringerWilliam I. WoodWilliam J. HenzelGeorge Cachianes
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (8 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Janet L. Martin
75 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Endocrinology, Diabetes and Metabolism 3.5k
- Cancer Research 1.1k
- Molecular Biology 2.7k
- Genetics 900
- Clinical Biochemistry 164
Countries citing papers authored by Janet L. Martin
This map shows the geographic impact of Janet L. Martin'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 Janet L. Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet L. Martin more than expected).
Fields of papers citing papers by Janet L. Martin
This network shows the impact of papers produced by Janet L. Martin. 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 Janet L. Martin. The network helps show where Janet L. Martin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Janet L. Martin, 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 | 2015 | 8 | |
| 2 | 2015 | 18 | |
| 3 | 2013 | 62 | |
| 4 | 2012 | 61 | |
| 5 | 2011 | 42 | |
| 6 | 2009 | 70 | |
| 7 | 2008 | 100 | |
| 8 | 2000 | 21 | |
| 9 | 2000 | 19 | |
| 10 | 2000 | 41 | |
| 11 | 2000 | 42 | |
| 12 | 1999 | 65 | |
| 13 | 1999 | 8 | |
| 14 | 1997 | 12 | |
| 15 | 1992 | 52 | |
| 16 | 1991 | 7 | |
| 17 | 1991 | 111 | |
| 18 | 1991 | 69 | |
| 19 | Binding proteins for the insulin-like growth factors: Structure, regulation and functionbreakdown → | 1989 | 513 |
| 20 | 1989 | 1 |
About Janet L. Martin
Janet L. Martin is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Biotechnology, having authored 75 papers that have together received 5.0k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (53 papers), Metabolism, Diabetes, and Cancer (27 papers), Cancer, Hypoxia, and Metabolism (20 papers), Virus-based gene therapy research (9 papers), Cancer-related Molecular Pathways (6 papers), Cancer Research and Treatments (6 papers), Lipid metabolism and disorders (5 papers) and Neonatal Health and Biochemistry (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.5k citations), Cancer Research (1.1k citations) and Molecular Biology (2.7k citations). Janet L. Martin has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Robert C. Baxter, Carolyn D. Scott, Mike Z. Lin, Ian N.H. White, Caroline J. Springer, William I. Wood, William J. Henzel, George Cachianes, Renate Hellmiss and Genine Winslow. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.