Laura Chang
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Reproductive Medicine top 2%
- Pulmonary and Respiratory Medicine top 10%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Frank Z. StanczykRogerio A. LøboAnn W. HsingYu‐Tang GaoStreamson C. ChuaJie DengElisabet GentzscheinMukund Vengalattore
- Topics
- Ovarian function and disorders (6 papers)Hormonal and reproductive studies (6 papers)Galaxies: Formation, Evolution, Phenomena (4 papers)
- Journals
- Physical Review LettersThe Journal of Clinical Endocrinology & MetabolismJNCI Journal of the National Cancer Institute
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Laura Chang
22 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 316
- Endocrinology, Diabetes and Metabolism 312
- Reproductive Medicine 273
- Pulmonary and Respiratory Medicine 236
- Public Health, Environmental and Occupational Health 195
Countries citing papers authored by Laura Chang
This map shows the geographic impact of Laura Chang'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 Laura Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Chang more than expected).
Fields of papers citing papers by Laura Chang
This network shows the impact of papers produced by Laura Chang. 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 Laura Chang. The network helps show where Laura Chang may publish in the future.
Co-authorship network of co-authors of Laura Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Chang. A scholar is included among the top collaborators of Laura Chang 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 Laura Chang. Laura Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 56 | |
| 2 | 31 | |
| 3 | 46 | |
| 4 | 28 | |
| 5 | 47 | |
| 6 | 71 | |
| 7 | 10 | |
| 8 | 111 | |
| 9 | 2 | |
| 10 | 16 | |
| 11 | 242 | |
| 12 | 1 | |
| 13 | 82 | |
| 14 | A prevalent missense substitution that modulates activity of prostatic steroid 5alpha-reductase. | 200 |
| 15 | 30 | |
| 16 | 33 | |
| 17 | 45 | |
| 18 | 120 | |
| 19 | Tau protein in cerebrospinal fluid as an aid in the diagnosis of Alzheimer's disease. | 48 |
| 20 | 1 |
About Laura Chang
Laura Chang is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Nuclear and High Energy Physics, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ovarian function and disorders (6 papers), Hormonal and reproductive studies (6 papers) and Galaxies: Formation, Evolution, Phenomena (4 papers). The work is most often cited by research in Reproductive Medicine (273 citations), Endocrinology, Diabetes and Metabolism (312 citations) and Urology (70 citations). Laura Chang has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Frank Z. Stanczyk, Rogerio A. Løbo, Ann W. Hsing, Yu‐Tang Gao, Streamson C. Chua, Jie Deng, Elisabet Gentzschein, Mukund Vengalattore, Srivatsan Chakram and Yogesh Sharad Patil. Their work appears in journals such as Physical Review Letters, The Journal of Clinical Endocrinology & Metabolism and JNCI Journal of the National Cancer Institute.
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.