Xiaoke Yang

1.7k citations
64 papers · 1.4k · h-index 22

Impact in

Papers in

Xiaoke Yang

59 papers receiving 1.3k citations

Peers

Xiaoke Yang
Comparison fields: 5 of 112
  • Hematology 361
  • Electrochemistry 124
  • Nutrition and Dietetics 297
  • Genetics 101
  • Molecular Biology 651
Replace I. L. Sun with:
I. L. Sun United States
Anup K. Singh India
Alessandra Bonamore Italy
Penelope C. Ioannou Greece
Jie Geng China
Rudolf Lichtenfels Germany
Huangen Ding United States
Iseli L. Nantes Brazil
Jianguo Hu China
James A. Roe United States
Xiaoke Yang relative to I. L. Sun United States I. L. Sun's profile →
Citations per field
00.5×12.3×
I. L. Sun · 1×
Citations per year

Countries citing papers authored by Xiaoke Yang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Xiaoke Yang Line = papers co-authored together Xiaoke Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998107
2 200084
3 200271
4 201967
5 202067
6 202160
7 200158
8 199653
9 200050
10 202146
11 200046
12 201943
13 199942
14 200841
15 201940
16 202130
17 202327
18 202127
19 202225
20 200825

About Xiaoke Yang

Xiaoke Yang is a scholar working on Molecular Biology, Nutrition and Dietetics, Hematology, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 64 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), Electrochemical sensors and biosensors (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Lipid Membrane Structure and Behavior (5 papers) and Electrochemical Analysis and Applications (5 papers). The work is most often cited by research in Hematology (361 citations), Electrochemistry (124 citations), Nutrition and Dietetics (297 citations), Genetics (101 citations) and Molecular Biology (651 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, Analytical Chemistry, Biochemical Journal 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.

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