Ying‐Hua Cheng

111 total papers · 1.8k total citations
32 papers, 622 citations indexed

About

Ying‐Hua Cheng is a scholar working on Molecular Biology, Hematology and Nephrology. According to data from OpenAlex, Ying‐Hua Cheng has authored 32 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Hematology and 7 papers in Nephrology. Recurrent topics in Ying‐Hua Cheng's work include Chronic Kidney Disease and Diabetes (6 papers), Bone Metabolism and Diseases (4 papers) and Renal and related cancers (4 papers). Ying‐Hua Cheng is often cited by papers focused on Chronic Kidney Disease and Diabetes (6 papers), Bone Metabolism and Diseases (4 papers) and Renal and related cancers (4 papers). Ying‐Hua Cheng collaborates with scholars based in United States, France and Israel. Ying‐Hua Cheng's co-authors include Melissa A. Kacena, Mark C. Horowitz, Edward F. Srour, Brahmananda R. Chitteti, Michael T. Eadon, Tarek M. El‐Achkar, Ricardo Melo Ferreira, Seth Winfree, Pierre C. Dagher and Kimberly S. Collins and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Blood.

In The Last Decade

Ying‐Hua Cheng

30 papers receiving 616 citations

Author Peers

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

Author Last Decade Papers Cites
Ying‐Hua Cheng 294 174 123 115 108 32 622
K Takatsuki 182 0.6× 185 1.1× 269 2.2× 75 0.7× 95 0.9× 40 756
Ayako Nishino 173 0.6× 79 0.5× 227 1.8× 40 0.3× 66 0.6× 48 638
Beáta Dérfalvi 190 0.6× 139 0.8× 268 2.2× 48 0.4× 31 0.3× 37 641
Akiko Sada 227 0.8× 173 1.0× 157 1.3× 75 0.7× 17 0.2× 31 554
Kunitake Hirashima 218 0.7× 410 2.4× 86 0.7× 113 1.0× 22 0.2× 44 698
Chul‐Soo Cho 181 0.6× 154 0.9× 226 1.8× 40 0.3× 30 0.3× 19 601
Yukihiro Wada 203 0.7× 85 0.5× 197 1.6× 51 0.4× 323 3.0× 50 779
M Szmitkowski 89 0.3× 117 0.7× 149 1.2× 48 0.4× 88 0.8× 34 630
Laurence Lutteri 210 0.7× 55 0.3× 95 0.8× 37 0.3× 109 1.0× 39 670
Nel R. Blom 129 0.4× 404 2.3× 96 0.8× 122 1.1× 42 0.4× 22 598

Countries citing papers authored by Ying‐Hua Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Ying‐Hua Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying‐Hua Cheng. 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 Ying‐Hua Cheng. The network helps show where Ying‐Hua Cheng may publish in the future.

Co-authorship network of co-authors of Ying‐Hua Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Ying‐Hua Cheng. A scholar is included among the top collaborators of Ying‐Hua Cheng 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 Ying‐Hua Cheng. Ying‐Hua Cheng 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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