Xiaoke Yang
Impact in
- Hematology top 2%
- Iron Metabolism and Disorders
- Electrochemistry top 5%
- Electrochemical Analysis and Applications
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 7
- Lipid Membrane Structure and Behavior 5
-
- Trace Elements in Health 9
- Co-authors
- N. Dennis Chasteen (8 shared papers)Paolo Arosio (4 shared papers)Wei‐Hua Huang (15 shared papers)Yan‐Ling Liu (8 shared papers)Yun Tang (6 shared papers)Fadi Bou‐Abdallah (2 shared papers)Christian Amatore (6 shared papers)Wentao Wu (5 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (6 papers)Biochemistry (4 papers)Biochemical Journal (3 papers)Analytical Chemistry (3 papers)Analytical Biochemistry (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Xiaoke Yang
63 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 110
- Hematology 360
- Electrochemistry 129
- Nutrition and Dietetics 273
- Genetics 97
- Molecular Biology 649
Countries citing papers authored by Xiaoke Yang
This map shows the geographic impact of Xiaoke Yang'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 Xiaoke Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoke Yang more than expected).
Fields of papers citing papers by Xiaoke Yang
This network shows the impact of papers produced by Xiaoke Yang. 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 Xiaoke Yang. The network helps show where Xiaoke Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoke Yang, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 111 | |
| 2 | 2000 | 88 | |
| 3 | 2019 | 71 | |
| 4 | 2002 | 71 | |
| 5 | 2020 | 67 | |
| 6 | 2021 | 66 | |
| 7 | 2001 | 58 | |
| 8 | 1996 | 54 | |
| 9 | 2000 | 51 | |
| 10 | 2021 | 47 | |
| 11 | 2000 | 47 | |
| 12 | 2019 | 46 | |
| 13 | 1999 | 44 | |
| 14 | 2008 | 42 | |
| 15 | 2019 | 42 | |
| 16 | 2021 | 30 | |
| 17 | 2023 | 30 | |
| 18 | 2021 | 30 | |
| 19 | 2022 | 27 | |
| 20 | 2008 | 25 |
About Xiaoke Yang
Xiaoke Yang is a scholar working on Molecular Biology, Nutrition and Dietetics, Hematology, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (9 papers), Trace Elements in Health (9 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Neuroscience and Neural Engineering (5 papers), Electrochemical Analysis and Applications (5 papers), Electrochemical sensors and biosensors (5 papers) and Lipid Membrane Structure and Behavior (5 papers). The work is most often cited by research in Hematology (360 citations), Electrochemistry (129 citations), Nutrition and Dietetics (273 citations), Genetics (97 citations) and Molecular Biology (649 citations). Xiaoke Yang has collaborated with scholars based in China, United States and France. Frequent co-authors include N. Dennis Chasteen, Paolo Arosio, Wei‐Hua Huang, Yan‐Ling Liu, Yun Tang, Fadi Bou‐Abdallah, Christian Amatore, Wentao Wu, Xinwei Zhang and Bin Yu. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Biochemistry, Biochemical Journal, Analytical Chemistry and Analytical Biochemistry.
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.