Peng Ding

22 total papers · 867 total citations
16 papers, 704 citations indexed

About

Peng Ding is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Peng Ding has authored 16 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Peng Ding's work include Cardiac Valve Diseases and Treatments (3 papers), Epigenetics and DNA Methylation (2 papers) and Circular RNAs in diseases (2 papers). Peng Ding is often cited by papers focused on Cardiac Valve Diseases and Treatments (3 papers), Epigenetics and DNA Methylation (2 papers) and Circular RNAs in diseases (2 papers). Peng Ding collaborates with scholars based in China, United States and Singapore. Peng Ding's co-authors include John Mendelsohn, Lu Yang, Howard I. Scher, Zhen Fan, Tony DeBlasio, Liang Yuan, Jing Ma, Robert E. Hammer, Kerstin Ure and Ju‐Ton Hsieh and has published in prestigious journals such as Journal of Neuroscience, Journal of Materials Chemistry A and Neuroscience.

In The Last Decade

Peng Ding

15 papers receiving 688 citations

Author Peers

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

Author Last Decade Papers Cites
Peng Ding 431 204 118 114 88 16 704
Chiayeng Wang 529 1.2× 82 0.4× 84 0.7× 159 1.4× 62 0.7× 15 799
Ing-Ming Chiu 670 1.6× 106 0.5× 112 0.9× 42 0.4× 58 0.7× 13 894
Marco Pfeifer 408 0.9× 227 1.1× 158 1.3× 65 0.6× 106 1.2× 20 781
Ken Samoto 405 0.9× 192 0.9× 121 1.0× 51 0.4× 56 0.6× 21 770
Isadora F. G. Sena 281 0.7× 137 0.7× 106 0.9× 58 0.5× 75 0.9× 19 699
Katsutoshi Goishi 593 1.4× 151 0.7× 114 1.0× 40 0.4× 37 0.4× 19 869
Laurence Pibouin-Fragner 566 1.3× 72 0.4× 188 1.6× 61 0.5× 55 0.6× 23 844
Seungwoon Seo 580 1.3× 128 0.6× 102 0.9× 44 0.4× 27 0.3× 18 867
Irwan T. Makagiansar 419 1.0× 123 0.6× 64 0.5× 48 0.4× 52 0.6× 17 752
Sandeep N. Shah 447 1.0× 103 0.5× 238 2.0× 33 0.3× 35 0.4× 15 670

Countries citing papers authored by Peng Ding

Since Specialization
Citations

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

Fields of papers citing papers by Peng Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Ding. A scholar is included among the top collaborators of Peng Ding 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 Peng Ding. Peng Ding 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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