Kah‐Yee Li

661 total citations
9 papers, 574 citations indexed

About

Kah‐Yee Li is a scholar working on Organic Chemistry, Molecular Biology and Physiology. According to data from OpenAlex, Kah‐Yee Li has authored 9 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Organic Chemistry, 6 papers in Molecular Biology and 4 papers in Physiology. Recurrent topics in Kah‐Yee Li's work include Carbohydrate Chemistry and Synthesis (8 papers), Click Chemistry and Applications (4 papers) and Lysosomal Storage Disorders Research (4 papers). Kah‐Yee Li is often cited by papers focused on Carbohydrate Chemistry and Synthesis (8 papers), Click Chemistry and Applications (4 papers) and Lysosomal Storage Disorders Research (4 papers). Kah‐Yee Li collaborates with scholars based in Netherlands. Kah‐Yee Li's co-authors include Herman S. Overkleeft, Johannes M. F. G. Aerts, Wouter W. Kallemeijn, Martin D. Witte, Bogdan I. Florea, Rolf G. Boot, Jeroen D. C. Codée, Lianne I. Willems, Jan Aten and Roelof Ottenhoff and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Accounts of Chemical Research.

In The Last Decade

Kah‐Yee Li

9 papers receiving 565 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kah‐Yee Li Netherlands	9	437	349	176	103	62	9	574
C.J. Kuo Netherlands	16	358 0.8×	364 1.0×	195 1.1×	134 1.3×	74 1.2×	22	640
Sybrin P. Schröder Netherlands	11	259 0.6×	227 0.7×	52 0.3×	46 0.4×	72 1.2×	19	414
Claudia Bello Switzerland	14	385 0.9×	350 1.0×	36 0.2×	16 0.2×	33 0.5×	31	528
Hannes Schmidinger Austria	9	81 0.2×	265 0.8×	99 0.6×	44 0.4×	15 0.2×	12	409
Andreas Steiner Austria	12	338 0.8×	287 0.8×	136 0.8×	36 0.3×	40 0.6×	19	424
Anne Ehrhard France	8	201 0.5×	220 0.6×	60 0.3×	28 0.3×	27 0.4×	11	399
T Yamakawa Japan	13	91 0.2×	319 0.9×	110 0.6×	53 0.5×	23 0.4×	41	481
Mohui Wei United States	13	275 0.6×	315 0.9×	17 0.1×	42 0.4×	22 0.4×	22	491
Diane Allegro France	15	242 0.6×	298 0.9×	43 0.2×	91 0.9×	10 0.2×	25	543
Meritxell Egido‐Gabás Spain	12	230 0.5×	279 0.8×	170 1.0×	62 0.6×	26 0.4×	16	423

Countries citing papers authored by Kah‐Yee Li

Since Specialization

Citations

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

Fields of papers citing papers by Kah‐Yee Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kah‐Yee Li. 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 Kah‐Yee Li. The network helps show where Kah‐Yee Li may publish in the future.

Co-authorship network of co-authors of Kah‐Yee Li

This figure shows the co-authorship network connecting the top 25 collaborators of Kah‐Yee Li. A scholar is included among the top collaborators of Kah‐Yee Li 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 Kah‐Yee Li. Kah‐Yee Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Willems, Lianne I., Jianbing Jiang, Kah‐Yee Li, et al.. (2014). From Covalent Glycosidase Inhibitors to Activity‐Based Glycosidase Probes. Chemistry - A European Journal. 20(35). 10864–10872. 41 indexed citations

2.

Kallemeijn, Wouter W., Martin D. Witte, Tineke Voorn-Brouwer, et al.. (2014). A Sensitive Gel-based Method Combining Distinct Cyclophellitol-based Probes for the Identification of Acid/Base Residues in Human Retaining β-Glucosidases. Journal of Biological Chemistry. 289(51). 35351–35362. 21 indexed citations

3.

Li, Kah‐Yee, Jianbing Jiang, Martin D. Witte, et al.. (2014). Synthesis of Cyclophellitol, Cyclophellitol Aziridine, and Their Tagged Derivatives. European Journal of Organic Chemistry. 2014(27). 6030–6043. 32 indexed citations

4.

Li, Kah‐Yee, Jianbing Jiang, Martin D. Witte, et al.. (2014). Exploring functional cyclophellitol analogues as human retaining beta-glucosidase inhibitors. Organic & Biomolecular Chemistry. 12(39). 7786–7791. 27 indexed citations

5.

Kallemeijn, Wouter W., Kah‐Yee Li, Martin D. Witte, et al.. (2012). Novel Activity‐Based Probes for Broad‐Spectrum Profiling of Retaining β‐Exoglucosidases In Situ and In Vivo. Angewandte Chemie International Edition. 51(50). 12529–12533. 113 indexed citations

6.

Kallemeijn, Wouter W., Kah‐Yee Li, Martin D. Witte, et al.. (2012). Novel Activity‐Based Probes for Broad‐Spectrum Profiling of Retaining β‐Exoglucosidases In Situ and In Vivo. Angewandte Chemie. 124(50). 12697–12701. 21 indexed citations

7.

Witte, Martin D., Marthe T. C. Walvoort, Kah‐Yee Li, et al.. (2011). Activity‐Based Profiling of Retaining β‐Glucosidases: A Comparative Study. ChemBioChem. 12(8). 1263–1269. 32 indexed citations

8.

Willems, Lianne I., Wouter A. van der Linden, Nan Li, et al.. (2011). Bioorthogonal Chemistry: Applications in Activity-Based Protein Profiling. Accounts of Chemical Research. 44(9). 718–729. 93 indexed citations

9.

Witte, Martin D., Wouter W. Kallemeijn, Jan Aten, et al.. (2010). Ultrasensitive in situ visualization of active glucocerebrosidase molecules. Nature Chemical Biology. 6(12). 907–913. 194 indexed citations

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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