Vivian Hwa

8.7k citations
135 papers · 6.1k indexed · 1 hit paper · h-index 40

Vivian Hwa

130 papers receiving 6.0k citations

Hit Papers

The Insulin-Like Growth Factor-Binding Protein (IGFBP) Su...8691999202620082017250500750

Peers

Vivian Hwa
Comparison fields: 5 of 125
  • Endocrinology, Diabetes and Metabolism 3.3k
  • Genetics 1.8k
  • Cancer Research 748
  • Immunology 947
  • Molecular Biology 2.5k
Replace Serge Amselem with:
Serge Amselem France
Stephen A. Liebhaber United States
Jorge A. Piedrahita United States
Rüdiger Wanke Germany
Fred Sinowatz Germany
Achim Leutz Germany
Paula S. Henthorn United States
Kimi Araki Japan
Dhavalkumar D. Patel United States
Lane K. Christenson United States
Vivian Hwa relative to Serge Amselem France Serge Amselem's profile →
Citations per field
00.5×1.7×
Serge Amselem · 1×
Citations per year

Countries citing papers authored by Vivian Hwa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Vivian Hwa Line = papers co-authored together Vivian Hwa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20243
3 20230
4 20230
5 20215
6 20204
7 201914
8 20199
9 20195
10 201879
11
Severe Short Stature and GH Insensitivity Due to a De Novo Heterozygous STAT5B Missense Mutation
20141
12 201439
13 20127
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
201139
15 201186
16 2006178
17 200524
18 200445
19 1996401
20 19841

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.

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