Xiaohua Jiang
- Endocrinology top 2%
- Escherichia coli research studies 10
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 5
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research 9
- Chemical Synthesis and Analysis 6
- Biomaterials top 10%
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- Monoclonal and Polyclonal Antibodies Research 10
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- Intracerebral and Subarachnoid Hemorrhage Research 6
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- Urinary Tract Infections Management 6
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- Immune Cell Function and Interaction 5
- Co-authors
- Beat ErnstOliver SchwardtKegang LiuPatrick HunzikerSaid RabbaniJunling GaoMeike ScharenbergDaniela Abgottspon
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (1 paper)Angewandte Chemie International Edition (3 papers)
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
Xiaohua Jiang
84 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 117
- Endocrinology 196
- Molecular Medicine 113
- Complementary and alternative medicine 127
- Molecular Biology 944
- Biomaterials 164
Countries citing papers authored by Xiaohua Jiang
This map shows the geographic impact of Xiaohua 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 Xiaohua Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohua Jiang more than expected).
Fields of papers citing papers by Xiaohua Jiang
This network shows the impact of papers produced by Xiaohua 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 Xiaohua Jiang. The network helps show where Xiaohua Jiang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaohua Jiang, 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 | 2024 | 4 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 4 | |
| 5 | 2021 | 29 | |
| 6 | 2021 | 29 | |
| 7 | 2020 | 6 | |
| 8 | 2020 | 12 | |
| 9 | 2017 | 32 | |
| 10 | 2017 | 41 | |
| 11 | 2017 | 5 | |
| 12 | 2017 | 9 | |
| 13 | 2016 | 77 | |
| 14 | 2016 | 154 | |
| 15 | 2015 | 2 | |
| 16 | 2011 | 18 | |
| 17 | 2010 | 41 | |
| 18 | 2010 | 41 | |
| 19 | 2010 | 27 | |
| 20 | 2008 | 8 |
About Xiaohua Jiang
Xiaohua Jiang is a scholar working on Endocrinology, Molecular Medicine and Molecular Biology, having authored 87 papers that have together received 1.9k indexed citations. Recurring topics across this work include Escherichia coli research studies (10 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Glycosylation and Glycoproteins Research (9 papers), Intracerebral and Subarachnoid Hemorrhage Research (6 papers), Urinary Tract Infections Management (6 papers), Chemical Synthesis and Analysis (6 papers), Antibiotic Resistance in Bacteria (5 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Endocrinology (196 citations), Molecular Medicine (113 citations) and Complementary and alternative medicine (127 citations). Xiaohua Jiang has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Beat Ernst, Oliver Schwardt, Kegang Liu, Patrick Hunziker, Said Rabbani, Junling Gao, Meike Scharenberg, Daniela Abgottspon, Jiang Shi-hu and Simon Kleeb. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.
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.