Xin Yi See

29 total papers · 448 total citations
8 papers, 357 citations indexed

About

Xin Yi See is a scholar working on Organic Chemistry, Inorganic Chemistry and Molecular Biology. According to data from OpenAlex, Xin Yi See has authored 8 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Organic Chemistry, 2 papers in Inorganic Chemistry and 1 paper in Molecular Biology. Recurrent topics in Xin Yi See's work include Catalytic C–H Functionalization Methods (4 papers), Synthesis and Characterization of Pyrroles (2 papers) and Organometallic Complex Synthesis and Catalysis (2 papers). Xin Yi See is often cited by papers focused on Catalytic C–H Functionalization Methods (4 papers), Synthesis and Characterization of Pyrroles (2 papers) and Organometallic Complex Synthesis and Catalysis (2 papers). Xin Yi See collaborates with scholars based in United States and Singapore. Xin Yi See's co-authors include Ian A. Tonks, Adam J. Pearce, Evan P. Beaumier, Addison N. Desnoyer, Peter L. Dunn, Zachary W. Davis‐Gilbert, Benjamin R. Reiner, Xuelan Wen, Jason D. Goodpaster and Changho Yoo and has published in prestigious journals such as Science, Chemical Communications and ACS Catalysis.

In The Last Decade

Xin Yi See

8 papers receiving 352 citations

Author Peers

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

Author Last Decade Papers Cites
Xin Yi See 287 116 64 28 22 8 357
J. J. Levison 284 1.0× 164 1.4× 49 0.8× 35 1.3× 9 0.4× 10 341
Yuee Feng 330 1.1× 242 2.1× 43 0.7× 50 1.8× 26 1.2× 9 382
Richard Markham 357 1.2× 239 2.1× 31 0.5× 44 1.6× 18 0.8× 7 393
Manyam Praveen Kumar 262 0.9× 77 0.7× 54 0.8× 13 0.5× 11 0.5× 11 320
Wendy L. Williams 232 0.8× 74 0.6× 89 1.4× 17 0.6× 28 1.3× 5 350
Rajshekhar Ghosh 324 1.1× 202 1.7× 44 0.7× 50 1.8× 25 1.1× 11 398
Serge Négri 283 1.0× 62 0.5× 28 0.4× 32 1.1× 30 1.4× 10 328
Robert C. Ryan 272 0.9× 239 2.1× 76 1.2× 46 1.6× 19 0.9× 9 350
Greg W. Ebert 265 0.9× 77 0.7× 33 0.5× 51 1.8× 34 1.5× 15 333
John R. Fritch 309 1.1× 137 1.2× 72 1.1× 13 0.5× 10 0.5× 11 392

Countries citing papers authored by Xin Yi See

Since Specialization
Citations

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

Fields of papers citing papers by Xin Yi See

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xin Yi See. 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 Xin Yi See. The network helps show where Xin Yi See may publish in the future.

Co-authorship network of co-authors of Xin Yi See

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Yi See. A scholar is included among the top collaborators of Xin Yi See 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 Xin Yi See. Xin Yi See 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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