Danyin Song

9 total papers · 416 total citations
6 papers, 351 citations indexed

About

Danyin Song is a scholar working on Molecular Biology, Cell Biology and Organic Chemistry. According to data from OpenAlex, Danyin Song has authored 6 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Organic Chemistry. Recurrent topics in Danyin Song's work include Glycosylation and Glycoproteins Research (4 papers), Proteoglycans and glycosaminoglycans research (3 papers) and Carbohydrate Chemistry and Synthesis (2 papers). Danyin Song is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Proteoglycans and glycosaminoglycans research (3 papers) and Carbohydrate Chemistry and Synthesis (2 papers). Danyin Song collaborates with scholars based in United States and Japan. Danyin Song's co-authors include Ding Xu, Jeffrey D. Esko, Lars C. Pedersen, Jian Liu, A.F. Moon, Nhu Uyen Nguyen, Yong Zhu, J.M. Krahn, Walter Chazin and Kevin D. Corbett and has published in prestigious journals such as Journal of Biological Chemistry, Nature Chemical Biology and General and Comparative Endocrinology.

In The Last Decade

Danyin Song

6 papers receiving 346 citations

Author Peers

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

Author						Papers	Cites
Danyin Song	201	158	73	65	52	6	351
E. J. Brandt	174 0.9×	82 0.5×	11 0.2×	21 0.3×	60 1.2×	9	356
Satoko Shinjo	242 1.2×	169 1.1×	24 0.3×	11 0.2×	31 0.6×	11	385
Raphaël Kram	246 1.2×	43 0.3×	12 0.2×	31 0.5×	21 0.4×	10	379
Kenji Chichibu	178 0.9×	140 0.9×	25 0.3×	4 0.1×	43 0.8×	11	402
Stuart Jaffe	252 1.3×	105 0.7×	26 0.4×	7 0.1×	31 0.6×	7	396
Ikuo Koyama	119 0.6×	170 1.1×	11 0.2×	19 0.3×	22 0.4×	10	344
Mark Charman	234 1.2×	130 0.8×	32 0.4×	7 0.1×	26 0.5×	9	367
Tomoya Adachi	168 0.8×	56 0.4×	8 0.1×	15 0.2×	29 0.6×	7	366
Gerard Vassiliou	163 0.8×	46 0.3×	13 0.2×	8 0.1×	47 0.9×	12	361
Monique Laloux	151 0.8×	63 0.4×	38 0.5×	28 0.4×	5 0.1×	8	314

Countries citing papers authored by Danyin Song

Since Specialization

Citations

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

Fields of papers citing papers by Danyin Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danyin Song

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