Vivian Hwa
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- Growth Hormone and Insulin-like Growth Factors 88
- Genetics top 1%
- Genetic Syndromes and Imprinting 27
- Digestive system and related health 14
- Cancer Research top 2%
- Immunology top 2%
- Immunodeficiency and Autoimmune Disorders 20
- Immune Cell Function and Interaction 9
- Molecular Biology top 5%
- Metabolism, Diabetes, and Cancer 17
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- Cytokine Signaling Pathways and Interactions 14
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- Lipid metabolism and disorders 13
- Co-authors
- Ron G. RosenfeldYoungman OhBrian M. LittleKatherine L. PrattKari C. NadeauEric M. KofoedHéctor JasperAndrew Dauber
- Journals
- New England Journal of Medicine (1 paper)Journal of Biological Chemistry (4 papers)Nature Communications (2 papers)
- Partner nations
- United StatesUnited KingdomArgentina
In The Last Decade
Vivian Hwa
130 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Endocrinology, Diabetes and Metabolism 3.3k
- Genetics 1.8k
- Cancer Research 748
- Immunology 947
- Molecular Biology 2.5k
Countries citing papers authored by Vivian Hwa
This map shows the geographic impact of Vivian Hwa'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 Vivian Hwa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vivian Hwa more than expected).
Fields of papers citing papers by Vivian Hwa
This network shows the impact of papers produced by Vivian Hwa. 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 Vivian Hwa. The network helps show where Vivian Hwa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vivian Hwa, 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 | 2024 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2021 | 5 | |
| 6 | 2020 | 4 | |
| 7 | 2019 | 14 | |
| 8 | 2019 | 9 | |
| 9 | 2019 | 5 | |
| 10 | 2018 | 79 | |
| 11 | Severe Short Stature and GH Insensitivity Due to a De Novo Heterozygous STAT5B Missense Mutation | 2014 | 1 |
| 12 | 2014 | 39 | |
| 13 | 2012 | 7 | |
| 14 | STAT5b欠損症:成長阻害,免疫欠損,重症肺疾患の予想外の原因 | 2011 | 39 |
| 15 | 2011 | 86 | |
| 16 | 2006 | 178 | |
| 17 | 2005 | 24 | |
| 18 | 2004 | 45 | |
| 19 | 1996 | 401 | |
| 20 | 1984 | 1 |
About Vivian Hwa
Vivian Hwa is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Immunology, having authored 135 papers that have together received 6.1k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (88 papers), Genetic Syndromes and Imprinting (27 papers), Immunodeficiency and Autoimmune Disorders (20 papers), Metabolism, Diabetes, and Cancer (17 papers), Digestive system and related health (14 papers), Cytokine Signaling Pathways and Interactions (14 papers), Lipid metabolism and disorders (13 papers) and Immune Cell Function and Interaction (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.3k citations), Genetics (1.8k citations) and Cancer Research (748 citations). Vivian Hwa has collaborated with scholars based in United States, United Kingdom and Argentina. Frequent co-authors include Ron G. Rosenfeld, Youngman Oh, Brian M. Little, Katherine L. Pratt, Kari C. Nadeau, Eric M. Kofoed, Héctor Jasper, Andrew Dauber, Jan M. Wit and Martin O. Savage. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Nature Communications.
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.