Kit‐Yin Ling

686 citations
22 papers · 579 indexed · h-index 15

Impact in

Papers in

Kit‐Yin Ling

22 papers receiving 562 citations

Peers

Kit‐Yin Ling
Comparison fields: 5 of 83
  • Molecular Biology 380
  • Cellular and Molecular Neuroscience 97
  • Pharmacology 45
  • Cell Biology 64
  • Pharmacology 58
Replace Jordi Bermúdez with:
Jordi Bermúdez Spain
Nils‐Erik Saris Finland
Satindra Goswami United States
George M. Fanelli United States
S. G. Williams United Kingdom
Young Sil Min South Korea
Joanne O. Whitney United States
David L. DiPietro United States
SG Schultz United States
Sheldon S. Hendler United States
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Citations per field
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Citations per year

Countries citing papers authored by Kit‐Yin Ling

Since Specialization
Citations

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

Fields of papers citing papers by Kit‐Yin Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kit‐Yin Ling. 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 Kit‐Yin Ling. The network helps show where Kit‐Yin Ling may publish in the future.

Co-authorship network

The 23 scholars most cited alongside Kit‐Yin Ling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kit‐Yin Ling Line = papers co-authored together Kit‐Yin Ling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20015
2 200010
3 200035
4 199814
5 199626
6 199538
7 199420
8 199312
9 19926
10 199117
11 1990120
12
Polyethylene glycol 900 permeability of rat intestinal and colonic segments in vivo and brush border membrane vesicles in vitro.
198940
13 198922
14 198829
15 198747
16 19852
17 198565
18 19822
19 198022
20 197016

About Kit‐Yin Ling

Kit‐Yin Ling is a scholar working on Biochemistry, Environmental Chemistry, Cellular and Molecular Neuroscience, Molecular Biology and Pharmacology, having authored 22 papers that have together received 579 indexed citations. Recurring topics across this work include Protist diversity and phylogeny (13 papers), Photoreceptor and optogenetics research (5 papers), Microbial Community Ecology and Physiology (5 papers), Drug Transport and Resistance Mechanisms (4 papers), Amino Acid Enzymes and Metabolism (3 papers), Marine Toxins and Detection Methods (3 papers), Clinical Nutrition and Gastroenterology (2 papers) and Drug-Induced Hepatotoxicity and Protection (2 papers). The work is most often cited by research in Molecular Biology (380 citations), Cellular and Molecular Neuroscience (97 citations), Pharmacology (45 citations), Cell Biology (64 citations) and Pharmacology (58 citations). Kit‐Yin Ling has collaborated with scholars based in United States, United Kingdom and Hong Kong. Frequent co-authors include Ching Kung, Yoshiro Saimi, W. John Haynes, Robin R. Preston, Daniel Hollander, John A. Kink, Leslie S. Ramsammy, George J. Kaloyanides, C Josepovitz and D. K. Bhalla. Their work appears in journals such as Biochemical Pharmacology, Genetics, Journal of Neurogenetics, European Journal of Biochemistry and Proteins Structure Function and Bioinformatics.

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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