David Q.‐H. Wang
- Surgery top 0.5%
- Molecular Biology top 5%
- Oncology top 1%
- Pulmonary and Respiratory Medicine top 1%
- Epidemiology top 1%
- Co-authors
- Piero PortincasaMartin C. CareyAgostino Di CiaulaLeonilde BonfrateHelen H. WangGabriella GarrutiMin LiuFrank Lammert
- Topics
- Drug Transport and Resistance Mechanisms (73 papers)Cholesterol and Lipid Metabolism (45 papers)Liver Disease Diagnosis and Treatment (38 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationSHILAP Revista de lepidopterología
- Partner nations
- United StatesItalyGermany
In The Last Decade
David Q.‐H. Wang
143 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Surgery 3.6k
- Molecular Biology 2.4k
- Oncology 2.2k
- Pulmonary and Respiratory Medicine 1.8k
- Epidemiology 1.8k
Countries citing papers authored by David Q.‐H. Wang
This map shows the geographic impact of David Q.‐H. Wang'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 David Q.‐H. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Q.‐H. Wang more than expected).
Fields of papers citing papers by David Q.‐H. Wang
This network shows the impact of papers produced by David Q.‐H. Wang. 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 David Q.‐H. Wang. The network helps show where David Q.‐H. Wang may publish in the future.
Co-authorship network of co-authors of David Q.‐H. Wang
This figure shows the co-authorship network connecting the top 25 collaborators of David Q.‐H. Wang. A scholar is included among the top collaborators of David Q.‐H. Wang 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 David Q.‐H. Wang. David Q.‐H. Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Gut Microbiota and Short Chain Fatty Acids: Implications in Glucose Homeostasisbreakdown → | 581 |
| 2 | 149 | |
| 3 | 56 | |
| 4 | 109 | |
| 5 | 40 | |
| 6 | 33 | |
| 7 | 48 | |
| 8 | 13 | |
| 9 | 172 | |
| 10 | 21 | |
| 11 | 1 | |
| 12 | 9 | |
| 13 | 7 | |
| 14 | 109 | |
| 15 | 42 | |
| 16 | 83 | |
| 17 | 73 | |
| 18 | 8 | |
| 19 | 84 | |
| 20 | 33 |
About David Q.‐H. Wang
David Q.‐H. Wang is a scholar working on Oncology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 145 papers that have together received 8.3k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (73 papers), Cholesterol and Lipid Metabolism (45 papers) and Liver Disease Diagnosis and Treatment (38 papers). The work is most often cited by research in Oncology (2.2k citations), Surgery (3.6k citations) and Endocrinology, Diabetes and Metabolism (953 citations). David Q.‐H. Wang has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Piero Portincasa, Martin C. Carey, Agostino Di Ciaula, Leonilde Bonfrate, Helen H. Wang, Gabriella Garruti, Min Liu, Frank Lammert, Helen H. Wang and David E. Cohen. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.