Sumin Song
Impact in
- Animal Science and Zoology top 5%
- Meat and Animal Product Quality
- Animal Nutrition and Physiology
- Endocrinology top 10%
- Legionella and Acanthamoeba research
Papers in
-
- Meat and Animal Product Quality 20
- Animal Nutrition and Physiology 12
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- Muscle Physiology and Disorders 4
- Protein Hydrolysis and Bioactive Peptides 3
- Co-authors
- Gap‐Don Kim (14 shared papers)Gap‐Don Kim (9 shared papers)Yeonchul Hong (13 shared papers)Dong-Il Chung (13 shared papers)Eun‐Young Jung (6 shared papers)Tae Sub Park (4 shared papers)Hyun-Hee Kong (7 shared papers)Youn‐Kyoung Goo (8 shared papers)
- Journals
- Food Science of Animal Resources (8 papers)Meat Science (3 papers)Food Chemistry (3 papers)LWT (2 papers)Poultry Science (1 paper)
- Partner nations
- South KoreaChinaUnited States
In The Last Decade
Sumin Song
37 papers receiving 564 citations
Peers
Comparison fields: 5 of 77
- Animal Science and Zoology 201
- Endocrinology 49
- Parasitology 42
- Microbiology 35
- Insect Science 46
Countries citing papers authored by Sumin Song
This map shows the geographic impact of Sumin Song'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 Sumin Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumin Song more than expected).
Fields of papers citing papers by Sumin Song
This network shows the impact of papers produced by Sumin Song. 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 Sumin Song. The network helps show where Sumin Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumin Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 101 | |
| 2 | 2020 | 74 | |
| 3 | 2020 | 36 | |
| 4 | 2019 | 36 | |
| 5 | 2015 | 31 | |
| 6 | 2013 | 26 | |
| 7 | 2021 | 26 | |
| 8 | 2009 | 23 | |
| 9 | 2022 | 20 | |
| 10 | 2023 | 16 | |
| 11 | 2022 | 15 | |
| 12 | 2016 | 15 | |
| 13 | 2008 | 15 | |
| 14 | 2020 | 13 | |
| 15 | 2017 | 13 | |
| 16 | 2018 | 13 | |
| 17 | 2016 | 12 | |
| 18 | 2022 | 10 | |
| 19 | 2022 | 9 | |
| 20 | 2023 | 8 |
About Sumin Song
Sumin Song is a scholar working on Animal Science and Zoology, Molecular Biology, Food Science, Insect Science and Parasitology, having authored 40 papers that have together received 578 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (20 papers), Animal Nutrition and Physiology (12 papers), Insect Utilization and Effects (4 papers), Food Quality and Safety Studies (4 papers), Muscle Physiology and Disorders (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Legionella and Acanthamoeba research (3 papers) and Protein Hydrolysis and Bioactive Peptides (3 papers). The work is most often cited by research in Animal Science and Zoology (201 citations), Endocrinology (49 citations), Parasitology (42 citations), Microbiology (35 citations) and Insect Science (46 citations). Sumin Song has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Gap‐Don Kim, Gap‐Don Kim, Yeonchul Hong, Dong-Il Chung, Eun‐Young Jung, Tae Sub Park, Hyun-Hee Kong, Youn‐Kyoung Goo, Jeong Hyo Lee and Seon-Tea Joo. Their work appears in journals such as Food Science of Animal Resources, Meat Science, Food Chemistry, LWT and Poultry Science.
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.