Sheena Kim

580 citations
43 papers · 352 · h-index 12

Impact in

    • Animal Nutrition and Physiology
    • Meat and Animal Product Quality
    • Rabbits: Nutrition, Reproduction, Health
  • Food Science top 10%
    • Probiotics and Fermented Foods

Papers in

Sheena Kim

41 papers receiving 339 citations

Peers

Sheena Kim
Comparison fields: 5 of 66
  • Animal Science and Zoology 132
  • Food Science 76
  • Applied Microbiology and Biotechnology 7
  • Nutrition and Dietetics 54
  • Small Animals 25
Replace László Pál with:
László Pál Hungary
Ingo C. Starke Germany
Dany Mesa Brazil
Gi Beom Keum South Korea
Zhenhui Song China
A. K. M. Humayun Kober Bangladesh
S. Ivanović Serbia
Bea Nielsen Denmark
Benjamin Zwirzitz Austria
Muhammad Umar Yaqoob China
Sheena Kim relative to László Pál Hungary László Pál's profile →
Citations per field
00.5×
László Pál · 1×
Citations per year

Countries citing papers authored by Sheena Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sheena Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheena Kim. 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 Sheena Kim. The network helps show where Sheena Kim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202141
2 202339
3 202425
4 202222
5 202317
6 202117
7 202416
8 202115
9 202114
10 202014
11 202314
12 202112
13 201810
14 20229
15 20219
16 20238
17 20157
18 20237
19 20235
20 20235

About Sheena Kim

Sheena Kim is a scholar working on Molecular Biology, Food Science, Animal Science and Zoology, Nutrition and Dietetics and Plant Science, having authored 43 papers that have together received 352 indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (14 papers), Animal Nutrition and Physiology (13 papers), Gut microbiota and health (11 papers), Clostridium difficile and Clostridium perfringens research (5 papers), GABA and Rice Research (4 papers), Genomics and Phylogenetic Studies (4 papers), Trace Elements in Health (3 papers) and Food composition and properties (3 papers). The work is most often cited by research in Animal Science and Zoology (132 citations), Food Science (76 citations), Applied Microbiology and Biotechnology (7 citations), Nutrition and Dietetics (54 citations) and Small Animals (25 citations). Sheena Kim has collaborated with scholars based in South Korea, United States and Thailand. Frequent co-authors include Hyeun Bum Kim, Minho Song, Jin Ho Cho, Gi Beom Keum, Jae Hyoung Cho, Ju-Hoon Lee, Hyeri Kim, Younghoon Kim, Jun Hyung Lee and Robin B. Guevarra. Their work appears in journals such as Journal of Animal Science and Technology, Journal of Animal Science, Frontiers in Veterinary Science, Animals and Microbiology Spectrum.

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.

Explore authors with similar magnitude of impact