In‐Sul Hwang

1.6k citations
51 papers · 1.2k indexed · 1 hit paper · h-index 12

Impact in

Papers in

In‐Sul Hwang

47 papers receiving 1.1k citations

Hit Papers

Fructose-induced insulin resistance and hypertension in rats. 1987 · 735 citations
7351987202620002013200400600

Peers

In‐Sul Hwang
Comparison fields: 5 of 83
  • Endocrinology, Diabetes and Metabolism 616
  • Reproductive Medicine 138
  • Physiology 390
  • Epidemiology 306
  • Public Health, Environmental and Occupational Health 217
Replace Bartolomé Bonet with:
Bartolomé Bonet Spain
Kamil Borkowski United States
Monique LeMieux United States
Sayani Banerjee India
Maggie K. Diamond-Stanic United States
Pavol Bohov Norway
Chisayo Kozuka Japan
Marta Santoro Italy
Laura A. Velázquez‐Villegas Mexico
Fredrik Rosqvist Sweden
In‐Sul Hwang relative to Bartolomé Bonet Spain Bartolomé Bonet's profile →
Citations per field
00.5×5.4×
Bartolomé Bonet · 1×
Citations per year

Countries citing papers authored by In‐Sul Hwang

Since Specialization
Citations

This map shows the geographic impact of In‐Sul Hwang'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 In‐Sul Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites In‐Sul Hwang more than expected).

Fields of papers citing papers by In‐Sul Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In‐Sul Hwang. 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 In‐Sul Hwang. The network helps show where In‐Sul Hwang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside In‐Sul Hwang, 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 In‐Sul Hwang Line = papers co-authored together In‐Sul Hwang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20232
4 20225
5 202111
6 202013
7 202010
8 20175
9 20170
10 201719
11 20174
12 20154
13 20151
14 201415
15 20141
16 201241
17 201126
18 201118
19 20053
20 20023

About In‐Sul Hwang

In‐Sul Hwang is a scholar working on Reproductive Medicine, Genetics, Public Health, Environmental and Occupational Health, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (18 papers), Reproductive Biology and Fertility (17 papers), Sperm and Testicular Function (13 papers), CRISPR and Genetic Engineering (11 papers), Genetic Syndromes and Imprinting (8 papers), Epigenetics and DNA Methylation (8 papers), Xenotransplantation and immune response (8 papers) and Pluripotent Stem Cells Research (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (616 citations), Reproductive Medicine (138 citations), Physiology (390 citations), Epidemiology (306 citations) and Public Health, Environmental and Occupational Health (217 citations). In‐Sul Hwang has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Helen Ho, Gerald M. Reaven, Brian B. Hoffman, Shinichi Hochi, Seongsoo Hwang, Mi‐Ryung Park, Hiromasa Hara, Masumi Hirabayashi, Jeong-Woong Lee and Kichoon Lee. Their work appears in journals such as Animals, Theriogenology, Biology of Reproduction, Genes and Cryobiology.

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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