Hai Jiang
- Infectious Diseases top 5%
- Clinical Biochemistry top 2%
- Public Health, Environmental and Occupational Health top 10%
- Pharmacology top 10%
- Molecular Medicine top 5%
- Co-authors
- William O’RiordanSamantha GoodGreg MoeckG. Ralph CoreyHeidi KablerPhilip GiordanoPurvi MehraAntonio L. Pérez
- Topics
- Antimicrobial Resistance in Staphylococcus (7 papers)Bacterial Identification and Susceptibility Testing (6 papers)Geological and Geochemical Analysis (2 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Hai Jiang
15 papers receiving 467 citations
Peers
Comparison fields: 5 of 68
- Infectious Diseases 336
- Clinical Biochemistry 210
- Public Health, Environmental and Occupational Health 177
- Pharmacology 131
- Molecular Medicine 81
Countries citing papers authored by Hai Jiang
This map shows the geographic impact of Hai Jiang'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 Hai Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Jiang more than expected).
Fields of papers citing papers by Hai Jiang
This network shows the impact of papers produced by Hai Jiang. 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 Hai Jiang. The network helps show where Hai Jiang may publish in the future.
Co-authorship network of co-authors of Hai Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Hai Jiang. A scholar is included among the top collaborators of Hai Jiang 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 Hai Jiang. Hai Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | The combined efficacy of adalimumab with GMA method on the treatment of ulcerative colitis and repair of intestinal mucosal lesion. | 9 |
| 7 | 20 | |
| 8 | 28 | |
| 9 | 169 | |
| 10 | 1 | |
| 11 | 226 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | [Replacement of plaque by buccal mucosa in the treatment of Peyronieś disease: a report of 27 cases]. | 5 |
About Hai Jiang
Hai Jiang is a scholar working on Clinical Biochemistry, Infectious Diseases and Hepatology, having authored 15 papers that have together received 488 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (7 papers), Bacterial Identification and Susceptibility Testing (6 papers) and Geological and Geochemical Analysis (2 papers). The work is most often cited by research in Clinical Biochemistry (210 citations), Applied Microbiology and Biotechnology (50 citations) and Infectious Diseases (336 citations). Hai Jiang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include William O’Riordan, Samantha Good, Greg Moeck, G. Ralph Corey, Heidi Kabler, Philip Giordano, Purvi Mehra, Antonio L. Pérez, Matthew A. Wikler and Christopher Lucasti. Their work appears in journals such as New England Journal of Medicine, Clinical Infectious Diseases and Journal of Petrology.
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.