Yan Chang

50 total papers · 1.1k total citations
36 papers, 933 citations indexed

About

Yan Chang is a scholar working on Molecular Biology, Hematology and Nutrition and Dietetics. According to data from OpenAlex, Yan Chang has authored 36 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Hematology and 8 papers in Nutrition and Dietetics. Recurrent topics in Yan Chang's work include Iron Metabolism and Disorders (8 papers), Trace Elements in Health (8 papers) and Alzheimer's disease research and treatments (5 papers). Yan Chang is often cited by papers focused on Iron Metabolism and Disorders (8 papers), Trace Elements in Health (8 papers) and Alzheimer's disease research and treatments (5 papers). Yan Chang collaborates with scholars based in China, United States and Hong Kong. Yan Chang's co-authors include David E. Moody, Jingqi Yan, Ya Ke, Kwok Ping Ho, Zhong‐Ming Qian, Zeyu Zhang, Shushan Yan, Honglian Shi, Xiang Duan and Li Zhu and has published in prestigious journals such as Biological Psychiatry, Biochemical and Biophysical Research Communications and Neuroscience.

In The Last Decade

Yan Chang

34 papers receiving 911 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yan Chang 275 222 220 173 144 36 933
R. Rama 169 0.6× 286 1.3× 143 0.7× 64 0.4× 40 0.3× 45 1.2k
Francesca Punzo 157 0.6× 332 1.5× 234 1.1× 84 0.5× 25 0.2× 30 1.1k
Rosario Garrido 291 1.1× 408 1.8× 115 0.5× 91 0.5× 40 0.3× 27 1.2k
Jirapas Sripetchwandee 111 0.4× 364 1.6× 159 0.7× 75 0.4× 39 0.3× 47 1.0k
Peipei Guo 125 0.5× 423 1.9× 95 0.4× 61 0.4× 46 0.3× 37 1.2k
Bruce Culver 106 0.4× 323 1.5× 79 0.4× 60 0.3× 35 0.2× 28 999
Maggie S. Burhans 105 0.4× 281 1.3× 152 0.7× 40 0.2× 79 0.5× 25 1.1k
Rachel P. L. van Swelm 294 1.1× 208 0.9× 182 0.8× 140 0.8× 20 0.1× 27 905
Yan Lu 114 0.4× 426 1.9× 137 0.6× 73 0.4× 45 0.3× 30 1.1k
I Malbohán 72 0.3× 240 1.1× 91 0.4× 49 0.3× 51 0.4× 51 1.1k

Countries citing papers authored by Yan Chang

Since Specialization
Citations

This map shows the geographic impact of Yan Chang'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 Yan Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Chang more than expected).

Fields of papers citing papers by Yan Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan Chang. 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 Yan Chang. The network helps show where Yan Chang may publish in the future.

Co-authorship network of co-authors of Yan Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Chang. A scholar is included among the top collaborators of Yan Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yan Chang. Yan Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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