Hsin‐I Chiang

2.1k citations
59 papers · 1.6k · h-index 21

Impact in

Papers in

Hsin‐I Chiang

55 papers receiving 1.5k citations

Peers

Hsin‐I Chiang
Comparison fields: 5 of 117
  • Dermatology 205
  • Animal Science and Zoology 223
  • Microbiology 68
  • Food Science 202
  • Immunology 205
Replace Božena Cukrowská with:
Božena Cukrowská Poland
J Šinkora Czechia
Niels Larsen Denmark
Z Řeháková Czechia
Krisana Asano Japan
Federica Riva Italy
Jong‐Hwa Kim South Korea
Ludmila Tučková Czechia
Lance W. Peterson United States
Akira Hosono Japan
Hsin‐I Chiang relative to Božena Cukrowská Poland Božena Cukrowská's profile →
Citations per field
00.5×1.7×
Božena Cukrowská · 1×
Citations per year

Countries citing papers authored by Hsin‐I Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Hsin‐I Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsin‐I Chiang. 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 Hsin‐I Chiang. The network helps show where Hsin‐I Chiang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013337
2 2013174
3 201999
4 201065
5 200862
6 200857
7 201255
8 201952
9 201144
10 201441
11 198239
12 200838
13 200137
14 200936
15 201331
16 200730
17 201926
18 202124
19 201123
20 202223

About Hsin‐I Chiang

Hsin‐I Chiang is a scholar working on Molecular Biology, Animal Science and Zoology, Agronomy and Crop Science, Food Science and Plant Science, having authored 59 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mycotoxins in Agriculture and Food (6 papers), Salmonella and Campylobacter epidemiology (6 papers), Animal Nutrition and Physiology (5 papers), Reproductive Biology and Fertility (5 papers), Ruminant Nutrition and Digestive Physiology (3 papers), Sperm and Testicular Function (3 papers), Effects of Environmental Stressors on Livestock (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Dermatology (205 citations), Animal Science and Zoology (223 citations), Microbiology (68 citations), Food Science (202 citations) and Immunology (205 citations). Hsin‐I Chiang has collaborated with scholars based in Taiwan, United States and Thailand. Frequent co-authors include Huaijun Zhou, Richard L. Gallo, Karsten Zengler, Teruaki Nakatsuji, Harish Nagarajan, Michael H. Kogut, Christina L. Swaggerty, Yang-Kwang Fan, Xianyao Li and Jyh-Cherng Ju. Their work appears in journals such as Toxins, Animals, Animal Reproduction Science, Theriogenology and PLoS ONE.

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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