Say‐Jong Law

37 total papers · 534 total citations
26 papers, 439 citations indexed

About

Say‐Jong Law is a scholar working on Organic Chemistry, Molecular Biology and Pharmacology. According to data from OpenAlex, Say‐Jong Law has authored 26 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Organic Chemistry, 8 papers in Molecular Biology and 6 papers in Pharmacology. Recurrent topics in Say‐Jong Law's work include Analytical Chemistry and Chromatography (4 papers), Mass Spectrometry Techniques and Applications (4 papers) and Textile materials and evaluations (4 papers). Say‐Jong Law is often cited by papers focused on Analytical Chemistry and Chromatography (4 papers), Mass Spectrometry Techniques and Applications (4 papers) and Textile materials and evaluations (4 papers). Say‐Jong Law collaborates with scholars based in United States, United Kingdom and Canada. Say‐Jong Law's co-authors include Paul Vouros, Samrat Mukhopadhyay, Ann Van Schepdael, John L. Neumeyer, Ronald F. Borne, Barry L. Karger, Zhao Li, Thomas W. Miller, John B. Unger and Uri Piran and has published in prestigious journals such as Nature, Journal of Medicinal Chemistry and The Journal of Organic Chemistry.

In The Last Decade

Say‐Jong Law

24 papers receiving 411 citations

Author Peers

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

Author						Papers	Cites
Say‐Jong Law	185	130	97	79	53	26	439
Martin Elstner	116 0.6×	131 1.0×	44 0.5×	170 2.2×	93 1.8×	16	434
Feihu Yang	190 1.0×	114 0.9×	154 1.6×	72 0.9×	79 1.5×	23	403
Benlian Wang	233 1.3×	76 0.6×	32 0.3×	29 0.4×	36 0.7×	16	390
Dennis Larsen	158 0.9×	69 0.5×	164 1.7×	45 0.6×	134 2.5×	19	423
Andrew R. Vaino	244 1.3×	45 0.3×	283 2.9×	68 0.9×	60 1.1×	21	479
Antoine Marion	251 1.4×	26 0.2×	152 1.6×	34 0.4×	96 1.8×	29	491
Aidan K. Wright	203 1.1×	44 0.3×	62 0.6×	129 1.6×	64 1.2×	15	463
Wenhan Jin	214 1.2×	148 1.1×	110 1.1×	79 1.0×	167 3.2×	25	459
Haixiao Fang	200 1.1×	146 1.1×	100 1.0×	110 1.4×	118 2.2×	20	452
Ajaib Singh	137 0.7×	26 0.2×	156 1.6×	36 0.5×	129 2.4×	17	442

Countries citing papers authored by Say‐Jong Law

Since Specialization

Citations

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

Fields of papers citing papers by Say‐Jong Law

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Say‐Jong Law. 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 Say‐Jong Law. The network helps show where Say‐Jong Law may publish in the future.

Co-authorship network of co-authors of Say‐Jong Law

This figure shows the co-authorship network connecting the top 25 collaborators of Say‐Jong Law. A scholar is included among the top collaborators of Say‐Jong Law 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 Say‐Jong Law. Say‐Jong Law 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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