Conghua Song

33 total papers · 627 total citations
21 papers, 379 citations indexed

About

Conghua Song is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Conghua Song has authored 21 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 9 papers in Pulmonary and Respiratory Medicine and 6 papers in Molecular Biology. Recurrent topics in Conghua Song's work include Gastric Cancer Management and Outcomes (6 papers), Helicobacter pylori-related gastroenterology studies (6 papers) and RNA modifications and cancer (3 papers). Conghua Song is often cited by papers focused on Gastric Cancer Management and Outcomes (6 papers), Helicobacter pylori-related gastroenterology studies (6 papers) and RNA modifications and cancer (3 papers). Conghua Song collaborates with scholars based in China. Conghua Song's co-authors include Yong Xie, Xiaomei Li, Gongye Zhang, Jiajia Xu, J. Yuan, Gang Song, Weiwei Wang, Rui-Lin Zhao, Youhua Wang and Qian Xing and has published in prestigious journals such as Cell Death and Differentiation, Surgical Endoscopy and Frontiers in Oncology.

In The Last Decade

Conghua Song

21 papers receiving 377 citations

Author Peers

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

Author Last Decade Papers Cites
Conghua Song 163 147 101 69 63 21 379
Maria Grazia Piva 221 1.4× 97 0.7× 76 0.8× 84 1.2× 95 1.5× 14 381
Boldbaatar Gantuya 251 1.5× 124 0.8× 132 1.3× 47 0.7× 35 0.6× 18 337
Weon Seon Hong 165 1.0× 146 1.0× 82 0.8× 91 1.3× 85 1.3× 30 424
Yanbing Ding 224 1.4× 107 0.7× 91 0.9× 66 1.0× 50 0.8× 16 364
Cosima Langner 237 1.5× 106 0.7× 103 1.0× 45 0.7× 27 0.4× 23 358
Lam Tung Nguyen 254 1.6× 119 0.8× 122 1.2× 158 2.3× 28 0.4× 21 425
Qian-Ling Ye 119 0.7× 77 0.5× 58 0.6× 115 1.7× 45 0.7× 26 369
Shane P. Duggan 198 1.2× 144 1.0× 57 0.6× 140 2.0× 141 2.2× 17 440
Hanna Santos Marques 149 0.9× 68 0.5× 52 0.5× 99 1.4× 54 0.9× 19 381
Κωνσταντίνος Σ. Παπαδάκος 184 1.1× 89 0.6× 43 0.4× 142 2.1× 53 0.8× 20 375

Countries citing papers authored by Conghua Song

Since Specialization
Citations

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

Fields of papers citing papers by Conghua Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Conghua Song

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