Xiaoting Jiang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Genetics top 10%
- Neurogenetic and Muscular Disorders Research
Papers in
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- Cancer, Hypoxia, and Metabolism 2
-
- COVID-19 Clinical Research Studies 7
- Co-authors
- Hou‐Quan Tao (8 shared papers)Xujun He (6 shared papers)Yingjie Xia (4 shared papers)Yingyu Ma (2 shared papers)Hui‐Ju Wang (1 shared paper)Zai‐yuan Ye (1 shared paper)Saif Ahmad (3 shared papers)Laxman Gangwani (3 shared papers)
- Journals
- Scientific Reports (3 papers)Emerging Microbes & Infections (2 papers)Environment International (2 papers)Oncotarget (2 papers)Bioorganic Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaoting Jiang
38 papers receiving 1k citations
Peers
Comparison fields: 5 of 73
- Cancer Research 248
- Genetics 110
- Oncology 103
- Neurology 62
- Physiology 91
Countries citing papers authored by Xiaoting Jiang
This map shows the geographic impact of Xiaoting 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 Xiaoting Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoting Jiang more than expected).
Fields of papers citing papers by Xiaoting Jiang
This network shows the impact of papers produced by Xiaoting 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 Xiaoting Jiang. The network helps show where Xiaoting Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoting 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
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 210 | |
| 2 | 2015 | 160 | |
| 3 | 2014 | 90 | |
| 4 | 2015 | 63 | |
| 5 | Detection of serum tumor markers in the diagnosis and treatment of patients with pancreatic cancer. | 2004 | 59 |
| 6 | 2019 | 49 | |
| 7 | 2022 | 42 | |
| 8 | 2012 | 35 | |
| 9 | 2023 | 27 | |
| 10 | 2016 | 26 | |
| 11 | 2023 | 26 | |
| 12 | 2017 | 22 | |
| 13 | 2019 | 20 | |
| 14 | 2024 | 19 | |
| 15 | 2019 | 18 | |
| 16 | 2013 | 15 | |
| 17 | 2017 | 15 | |
| 18 | 2021 | 15 | |
| 19 | 2017 | 14 | |
| 20 | 2022 | 14 |
About Xiaoting Jiang
Xiaoting Jiang is a scholar working on Cancer Research, Infectious Diseases, Genetics, Oncology and Pulmonary and Respiratory Medicine, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), Pancreatic and Hepatic Oncology Research (3 papers), Neurogenetic and Muscular Disorders Research (3 papers), Gastric Cancer Management and Outcomes (3 papers), Estrogen and related hormone effects (3 papers), Mosquito-borne diseases and control (2 papers), Advanced Breast Cancer Therapies (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (248 citations), Genetics (110 citations), Oncology (103 citations), Neurology (62 citations) and Physiology (91 citations). Xiaoting Jiang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hou‐Quan Tao, Xujun He, Yingjie Xia, Yingyu Ma, Hui‐Ju Wang, Zai‐yuan Ye, Saif Ahmad, Laxman Gangwani, Zhan‐Guo Gao and Hongyun Lu. Their work appears in journals such as Scientific Reports, Emerging Microbes & Infections, Environment International, Oncotarget and Bioorganic Chemistry.
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.