Tan H
- Food Science top 1%
- Proteins in Food Systems 11
- Microencapsulation and Drying Processes 6
- Animal Science and Zoology top 5%
- Nutrition and Dietetics top 5%
- Biotechnology top 10%
- Biomaterials top 10%
- Supramolecular Self-Assembly in Materials 9
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- High Altitude and Hypoxia 10
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- Antimicrobial Peptides and Activities 5
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- Chronic Obstructive Pulmonary Disease (COPD) Research 5
- Cardiovascular and Diving-Related Complications 4
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- Neuroscience of respiration and sleep 5
Tan H
85 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 138
- Food Science 705
- Animal Science and Zoology 188
- Nutrition and Dietetics 187
- Biotechnology 94
- Biomaterials 125
Countries citing papers authored by Tan H
This map shows the geographic impact of Tan H'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 Tan H with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tan H more than expected).
Fields of papers citing papers by Tan H
This network shows the impact of papers produced by Tan H. 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 Tan H. The network helps show where Tan H may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tan H, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 17 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 5 | |
| 12 | Down-Regulated CMTM2 Promotes Epithelial-Mesenchymal Transition in Hepatocellular Carcinoma | 2020 | 1 |
| 13 | 2020 | 26 | |
| 14 | 2019 | 15 | |
| 15 | 2018 | 180 | |
| 16 | Logistics Mode Analysis of the "Farmer-supermarket Direct Supply" | 2013 | 1 |
| 17 | CO_2 Concentration Detection Based on Chebyshev Neural Network and Best Approximation Theory | 2011 | 1 |
| 18 | 2011 | 44 | |
| 19 | Reversed-phase high-performance liquid chromatographic measurement of the P-aminobenzoic acid synthesized by Streptococcus sanguis. | 1998 | 1 |
| 20 | 1986 | 73 |
About Tan H
Tan H is a scholar working on Food Science, Microbiology and Biomaterials, having authored 92 papers that have together received 1.5k indexed citations. Recurring topics across this work include Proteins in Food Systems (11 papers), High Altitude and Hypoxia (10 papers), Supramolecular Self-Assembly in Materials (9 papers), Microencapsulation and Drying Processes (6 papers), Antimicrobial Peptides and Activities (5 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Neuroscience of respiration and sleep (5 papers) and Cardiovascular and Diving-Related Complications (4 papers). The work is most often cited by research in Food Science (705 citations), Animal Science and Zoology (188 citations) and Nutrition and Dietetics (187 citations). Tan H has collaborated with scholars based in China, Israel and Singapore. Frequent co-authors include Siyi Pan, Hao Hu, Ahmed Taha, Zhuo Zhang, Xiaoyun Xu, Eunice C.Y. Li‐Chan, Amr M. Bakry, Ibrahim Khalifa, Peipei Zhang and Ting Zheng. Their work appears in journals such as Frontiers in Physiology, Ultrasonics Sonochemistry, Journal of Clinical Hypertension, Biomacromolecules and Food Hydrocolloids.
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.