Catherine A. Shang
- Co-authors
- Michael J. WatersBarry J. ThompsonRichard ClarksonM ShannonNorma TowersTimothy J. MohunBo ShenHuan Li
- Topics
- Growth Hormone and Insulin-like Growth Factors (6 papers)Genetics, Bioinformatics, and Biomedical Research (4 papers)Cytokine Signaling Pathways and Interactions (4 papers)
- Partner nations
- AustraliaUnited KingdomNetherlands
In The Last Decade
Catherine A. Shang
19 papers receiving 498 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 232
- Endocrinology, Diabetes and Metabolism 112
- Immunology 96
- Oncology 80
- Cancer Research 75
Countries citing papers authored by Catherine A. Shang
This map shows the geographic impact of Catherine A. Shang'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 Catherine A. Shang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine A. Shang more than expected).
Fields of papers citing papers by Catherine A. Shang
This network shows the impact of papers produced by Catherine A. Shang. 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 Catherine A. Shang. The network helps show where Catherine A. Shang may publish in the future.
Co-authorship network of co-authors of Catherine A. Shang
This figure shows the co-authorship network connecting the top 25 collaborators of Catherine A. Shang. A scholar is included among the top collaborators of Catherine A. Shang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Catherine A. Shang. Catherine A. Shang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 59 | |
| 6 | 11 | |
| 7 | 4 | |
| 8 | 21 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 43 | |
| 12 | 14 | |
| 13 | 29 | |
| 14 | 54 | |
| 15 | 14 | |
| 16 | Physiology of normal growth hormone receptor function. | 1 |
| 17 | 64 | |
| 18 | 28 | |
| 19 | 54 | |
| 20 | Cooperative binding and synergistic activation by RelA and C/EBPbeta on the intercellular adhesion molecule-1 promoter. | 32 |
About Catherine A. Shang
Catherine A. Shang is a scholar working on Cancer Research, Information Systems and Management and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 505 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (6 papers), Genetics, Bioinformatics, and Biomedical Research (4 papers) and Cytokine Signaling Pathways and Interactions (4 papers). The work is most often cited by research in Reproductive Medicine (71 citations), Endocrinology, Diabetes and Metabolism (112 citations) and Obstetrics and Gynecology (44 citations). Catherine A. Shang has collaborated with scholars based in Australia, United Kingdom and Netherlands. Frequent co-authors include Michael J. Waters, Barry J. Thompson, Richard Clarkson, M Shannon, Norma Towers, Timothy J. Mohun, Bo Shen, Huan Li, PE Lobie and Joanne L. Attema. Their work appears in journals such as Endocrinology, Developmental Biology and Cell Reports.
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.