Long Xiang
Impact in
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- Bacterial Infections and Vaccines
Papers in
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- Respiratory Support and Mechanisms 4
- Neonatal Respiratory Health Research 2
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- Sepsis Diagnosis and Treatment 3
- Co-authors
- Fabian Oceguera-Yañez (1 shared paper)Makoto Ikeya (1 shared paper)Takayuki Kondo (1 shared paper)Shin‐Il Kim (1 shared paper)Tomoko Matsumoto (1 shared paper)Takeshi Hatani (1 shared paper)Haruhisa Inoue (1 shared paper)Yoshinori Yoshida (1 shared paper)
In The Last Decade
Long Xiang
15 papers receiving 254 citations
Peers
Comparison fields: 5 of 73
- Aging 7
- Microbiology 12
- Molecular Biology 130
- Critical Care and Intensive Care Medicine 7
- Epidemiology 36
Countries citing papers authored by Long Xiang
This map shows the geographic impact of Long Xiang'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 Long Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Xiang more than expected).
Fields of papers citing papers by Long Xiang
This network shows the impact of papers produced by Long Xiang. 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 Long Xiang. The network helps show where Long Xiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Xiang, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 155 | |
| 2 | 2021 | 16 | |
| 3 | 2019 | 15 | |
| 4 | 2021 | 15 | |
| 5 | 2025 | 13 | |
| 6 | 2018 | 10 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 5 | |
| 9 | The treatment of severe and multiple injuries in intensive care unit: report of 80 cases. | 2014 | 5 |
| 10 | 2022 | 3 | |
| 11 | 2022 | 2 | |
| 12 | 2019 | 2 | |
| 13 | [Mechanism of potassium channel in hypoxia-ischemic brain edema: experiment with neonatal rat astrocyte]. | 2008 | 2 |
| 14 | 2018 | 1 | |
| 15 | 2016 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2023 | 0 | |
| 20 | 2020 | 0 |
About Long Xiang
Long Xiang is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Biomedical Engineering, Emergency Medicine and Surgery, having authored 21 papers that have together received 254 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (4 papers), Cardiac Arrest and Resuscitation (3 papers), Mechanical Circulatory Support Devices (3 papers), Sepsis Diagnosis and Treatment (3 papers), Pluripotent Stem Cells Research (2 papers), Bacterial Infections and Vaccines (2 papers), Neonatal Respiratory Health Research (2 papers) and Nosocomial Infections in ICU (1 paper). The work is most often cited by research in Aging (7 citations), Microbiology (12 citations), Molecular Biology (130 citations), Critical Care and Intensive Care Medicine (7 citations) and Epidemiology (36 citations). Long Xiang has collaborated with scholars based in China, Germany and Japan. Frequent co-authors include Fabian Oceguera-Yañez, Makoto Ikeya, Takayuki Kondo, Shin‐Il Kim, Tomoko Matsumoto, Takeshi Hatani, Haruhisa Inoue, Yoshinori Yoshida, Knut Woltjen and Ying Wang. Their work appears in journals such as Frontiers in Medicine, Frontiers in Pediatrics, Journal of Intensive Care Medicine, Medicine and Frontiers in Oncology.
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.