Deshi Shi
Impact in
- Pharmacology top 1%
- Cholinesterase and Neurodegenerative Diseases
- Pharmacogenetics and Drug Metabolism
- Animal Science and Zoology top 2%
- Animal Nutrition and Physiology
Papers in
-
- Gut microbiota and health 11
-
- Animal Nutrition and Physiology 11
- Pharmacological Effects and Assays 5
- Co-authors
- Bingfang Yan (12 shared papers)Dongfang Yang (10 shared papers)Jian Yang (5 shared papers)Huazhen Liu (8 shared papers)Muhammad Faheem Akhtar (9 shared papers)Chris Black (3 shared papers)Ziyu Ma (5 shared papers)Edward L. LeCluyse (2 shared papers)
- Journals
- Frontiers in Microbiology (5 papers)Nutrients (3 papers)Biochemical Pharmacology (3 papers)Microbiome (3 papers)Scientific Reports (3 papers)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Deshi Shi
59 papers receiving 1.8k citations
Deshi Shi's Hit Papers
Peers
Comparison fields: 5 of 109
- Pharmacology 273
- Pharmacology 374
- Animal Science and Zoology 242
- Biological Psychiatry 28
- Microbiology 67
Countries citing papers authored by Deshi Shi
This map shows the geographic impact of Deshi Shi'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 Deshi Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deshi Shi more than expected).
Fields of papers citing papers by Deshi Shi
This network shows the impact of papers produced by Deshi Shi. 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 Deshi Shi. The network helps show where Deshi Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Deshi Shi, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Gut microbiota-derived short chain fatty acids are potential mediators in gut inflammation Hit paper breakdown → | 2021 | 241 |
| 2 | 2006 | 234 | |
| 3 | 2006 | 204 | |
| 4 | 2007 | 95 | |
| 5 | 2022 | 92 | |
| 6 | 2007 | 71 | |
| 7 | 2010 | 57 | |
| 8 | 2010 | 52 | |
| 9 | 2011 | 50 | |
| 10 | 2023 | 49 | |
| 11 | 2023 | 46 | |
| 12 | 2006 | 40 | |
| 13 | 2012 | 38 | |
| 14 | 2011 | 38 | |
| 15 | 2010 | 35 | |
| 16 | 2012 | 33 | |
| 17 | 2016 | 31 | |
| 18 | 2019 | 29 | |
| 19 | 2012 | 28 | |
| 20 | 2014 | 26 |
About Deshi Shi
Deshi Shi is a scholar working on Molecular Biology, Animal Science and Zoology, Food Science, Pharmacology and Pharmacology, having authored 59 papers that have together received 1.9k indexed citations. Recurring topics across this work include Gut microbiota and health (11 papers), Animal Nutrition and Physiology (11 papers), Pharmacogenetics and Drug Metabolism (8 papers), Probiotics and Fermented Foods (7 papers), Clostridium difficile and Clostridium perfringens research (6 papers), Hormonal Regulation and Hypertension (5 papers), Pharmacological Effects and Assays (5 papers) and Drug Transport and Resistance Mechanisms (5 papers). The work is most often cited by research in Pharmacology (273 citations), Pharmacology (374 citations), Animal Science and Zoology (242 citations), Biological Psychiatry (28 citations) and Microbiology (67 citations). Deshi Shi has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Bingfang Yan, Dongfang Yang, Jian Yang, Huazhen Liu, Muhammad Faheem Akhtar, Chris Black, Ziyu Ma, Edward L. LeCluyse, Xiliang Wang and Xiaolong Zhang. Their work appears in journals such as Frontiers in Microbiology, Nutrients, Biochemical Pharmacology, Microbiome and Scientific Reports.
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.