Hing-Yat Peter Lam

19 total papers · 763 total citations
18 papers, 641 citations indexed

About

Hing-Yat Peter Lam is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Hing-Yat Peter Lam has authored 18 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Organic Chemistry and 3 papers in Oncology. Recurrent topics in Hing-Yat Peter Lam's work include Carbohydrate Chemistry and Synthesis (3 papers), Synthesis of Organic Compounds (2 papers) and Chemical Synthesis and Analysis (2 papers). Hing-Yat Peter Lam is often cited by papers focused on Carbohydrate Chemistry and Synthesis (3 papers), Synthesis of Organic Compounds (2 papers) and Chemical Synthesis and Analysis (2 papers). Hing-Yat Peter Lam collaborates with scholars based in Canada, United States and Hong Kong. Hing-Yat Peter Lam's co-authors include Gerald J. Goldenberg, Asher Begleiter, Hector F. DeLuca, Heinrich K. Schnoes, Umesh A. Patel, Judy Grover, Kai‐Yin Chau, Kam‐Len Daniel Lee, Colyn Crane‐Robinson and Tai C. Chen and has published in prestigious journals such as Nucleic Acids Research, Biochemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Hing-Yat Peter Lam

18 papers receiving 589 citations

Author Peers

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

Author						Papers	Cites
Hing-Yat Peter Lam	305	211	124	93	77	18	641
Dennis M. Kraichely	369 1.2×	398 1.9×	119 1.0×	92 1.0×	38 0.5×	13	741
Sharon Y. James	328 1.1×	194 0.9×	118 1.0×	170 1.8×	79 1.0×	20	616
Dimitra J. Mitsiou	387 1.3×	192 0.9×	103 0.8×	52 0.6×	96 1.2×	26	738
Shalini Murthy	400 1.3×	189 0.9×	178 1.4×	68 0.7×	133 1.7×	14	626
Philipp Y. Maximov	291 1.0×	420 2.0×	204 1.6×	45 0.5×	94 1.2×	26	757
Joan S. Lewis	337 1.1×	400 1.9×	244 2.0×	53 0.6×	125 1.6×	9	683
Li Yang	468 1.5×	256 1.2×	64 0.5×	28 0.3×	68 0.9×	16	673
Samuel Brooks	250 0.8×	279 1.3×	153 1.2×	35 0.4×	117 1.5×	11	599
George E. Swaneck	369 1.2×	438 2.1×	110 0.9×	55 0.6×	52 0.7×	18	783
Scilla Latini	267 0.9×	131 0.6×	153 1.2×	258 2.8×	90 1.2×	13	706

Countries citing papers authored by Hing-Yat Peter Lam

Since Specialization

Citations

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

Fields of papers citing papers by Hing-Yat Peter Lam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hing-Yat Peter Lam. 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 Hing-Yat Peter Lam. The network helps show where Hing-Yat Peter Lam may publish in the future.

Co-authorship network of co-authors of Hing-Yat Peter Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Hing-Yat Peter Lam. A scholar is included among the top collaborators of Hing-Yat Peter Lam 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 Hing-Yat Peter Lam. Hing-Yat Peter Lam 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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