Simon Dai

9 total papers · 423 total citations
7 papers, 368 citations indexed

About

Simon Dai is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Simon Dai has authored 7 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Simon Dai's work include Bone Metabolism and Diseases (6 papers), NF-κB Signaling Pathways (6 papers) and Bone health and treatments (2 papers). Simon Dai is often cited by papers focused on Bone Metabolism and Diseases (6 papers), NF-κB Signaling Pathways (6 papers) and Bone health and treatments (2 papers). Simon Dai collaborates with scholars based in United States, Canada and Germany. Simon Dai's co-authors include Yousef Abu‐Amer, Sabiha Abbas, Teruhisa Hirayama, Muhammad Alhawagri, Jesse E. Otero, Chung Y. Hsu, K Chao, Isra Darwech, Yasuhiro Yamanaka and Manolis Pasparakis and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Bone and Mineral Research and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Simon Dai

7 papers receiving 361 citations

Author Peers

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

Author						Papers	Cites
Simon Dai	280	198	149	74	34	7	368
Sandrine Bongiovanni	268 1.0×	104 0.5×	112 0.8×	57 0.8×	26 0.8×	6	420
Hidetoshi Wakeyama	326 1.2×	121 0.6×	231 1.6×	39 0.5×	53 1.6×	8	413
Sibylle Teurich	222 0.8×	148 0.7×	148 1.0×	28 0.4×	64 1.9×	6	437
Blandine Deux	265 0.9×	88 0.4×	150 1.0×	42 0.6×	9 0.3×	6	416
Yoshiya Tomimori	267 1.0×	43 0.2×	184 1.2×	91 1.2×	30 0.9×	10	390
Lianping Xing	246 0.9×	50 0.3×	124 0.8×	74 1.0×	94 2.8×	7	383
Qin Bi	228 0.8×	174 0.9×	45 0.3×	53 0.7×	32 0.9×	5	339
Yubin Xie	180 0.6×	99 0.5×	129 0.9×	80 1.1×	13 0.4×	7	355
Jen-Liang Su	276 1.0×	183 0.9×	82 0.6×	34 0.5×	16 0.5×	7	412
M. Padrines	273 1.0×	64 0.3×	231 1.6×	27 0.4×	59 1.7×	9	415

Countries citing papers authored by Simon Dai

Since Specialization

Citations

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

Fields of papers citing papers by Simon Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Dai

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