Tae Wha Moon
- Nutrition and Dietetics top 0.2%
- Food Science top 0.5%
- Plant Science top 5%
- Molecular Biology
- Biotechnology top 1%
- Co-authors
- Seung Jun ChoiChang Joo LeeSang Ick ShinHa Ram KimKoo Min ChungYang KimKwan Hwa ParkCheon‐Seok Park
- Topics
- Food composition and properties (45 papers)Microbial Metabolites in Food Biotechnology (32 papers)Proteins in Food Systems (23 papers)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Tae Wha Moon
74 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 100
- Nutrition and Dietetics 1.6k
- Food Science 1.4k
- Plant Science 585
- Molecular Biology 368
- Biotechnology 352
Countries citing papers authored by Tae Wha Moon
This map shows the geographic impact of Tae Wha Moon'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 Tae Wha Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae Wha Moon more than expected).
Fields of papers citing papers by Tae Wha Moon
This network shows the impact of papers produced by Tae Wha Moon. 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 Tae Wha Moon. The network helps show where Tae Wha Moon may publish in the future.
Co-authorship network of co-authors of Tae Wha Moon
This figure shows the co-authorship network connecting the top 25 collaborators of Tae Wha Moon. A scholar is included among the top collaborators of Tae Wha Moon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tae Wha Moon. Tae Wha Moon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 24 | |
| 3 | 18 | |
| 4 | 28 | |
| 5 | 10 | |
| 6 | 30 | |
| 7 | 35 | |
| 8 | 14 | |
| 9 | 20 | |
| 10 | Structural and Rheological Properties of Sweet Potato Starch Modified with 4-α-Glucanotransferase from Thermus aquaticus | 6 |
| 11 | 3 | |
| 12 | 10 | |
| 13 | 34 | |
| 14 | 4 | |
| 15 | 19 | |
| 16 | 57 | |
| 17 | 47 | |
| 18 | Sensory and Physicochemical Properties of Selected Sweetener Blends Containing Polyols | 2 |
| 19 | Analysis of Carbendazim in Commercial Apple Juice by Supercritical Fluid Extraction and HPLC | 6 |
| 20 | Quality Attributes of Bread with Soymilk Residue Dietary Fiber | 7 |
About Tae Wha Moon
Tae Wha Moon is a scholar working on Nutrition and Dietetics, Food Science and Biotechnology, having authored 75 papers that have together received 2.6k indexed citations. Recurring topics across this work include Food composition and properties (45 papers), Microbial Metabolites in Food Biotechnology (32 papers) and Proteins in Food Systems (23 papers). The work is most often cited by research in Nutrition and Dietetics (1.6k citations), Food Science (1.4k citations) and Biotechnology (352 citations). Tae Wha Moon has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Seung Jun Choi, Chang Joo Lee, Sang Ick Shin, Ha Ram Kim, Koo Min Chung, Yang Kim, Kwan Hwa Park, Cheon‐Seok Park, Hyun Jung Kim and Cheon Seok Park. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Carbohydrate Polymers.
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.