Ching Lam

1.9k citations
32 papers · 1.5k · h-index 16

Impact in

Papers in

Ching Lam

32 papers receiving 1.5k citations

Peers

Ching Lam
Comparison fields: 5 of 85
  • Gastroenterology 984
  • Nutrition and Dietetics 66
  • Pharmaceutical Science 33
  • Genetics 124
  • Molecular Biology 241
Replace Giles Major with:
Giles Major United Kingdom
Klara C. Garsed United Kingdom
Francesca Ferretti Italy
J. F. Rothwell United Kingdom
David N. Challacombe United Kingdom
J. R. Malagelada Spain
Basilio De Vizia Italy
Angelo Ricchiuti Italy
T. B. Peters United Kingdom
Sonia I. Niveloni Argentina
Ching Lam relative to Giles Major United Kingdom Giles Major's profile →
Citations per field
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Giles Major · 1×
Citations per year

Countries citing papers authored by Ching Lam

Since Specialization
Citations

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

Fields of papers citing papers by Ching Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching 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 Ching Lam. The network helps show where Ching Lam may publish in the future.

Co-authors

The 25 scholars most cited alongside Ching Lam, 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 Ching Lam Line = papers co-authored together Ching Lam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013305
2 2014213
3 2013202
4 2012145
5 201375
6 201573
7 201360
8 201652
9 202045
10 201444
11 201936
12 201133
13 202131
14 202229
15 201627
16 202027
17 202114
18 201613
19 202213
20 201311

About Ching Lam

Ching Lam is a scholar working on Gastroenterology, Nutrition and Dietetics, Genetics, Experimental and Cognitive Psychology and Infectious Diseases, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Gastrointestinal motility and disorders (27 papers), Clinical Nutrition and Gastroenterology (2 papers), Connective tissue disorders research (2 papers), Gastrointestinal Bleeding Diagnosis and Treatment (1 paper), Sleep and Work-Related Fatigue (1 paper), Gut microbiota and health (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Colorectal Cancer Screening and Detection (1 paper). The work is most often cited by research in Gastroenterology (984 citations), Nutrition and Dietetics (66 citations), Pharmaceutical Science (33 citations), Genetics (124 citations) and Molecular Biology (241 citations). Ching Lam has collaborated with scholars based in United Kingdom, Finland and United States. Frequent co-authors include Robert E. Spiller, Luca Marciani, Penny Anne Gowland, Caroline Louise Hoad, Klara C. Garsed, Carolyn M. Costigan, Eleanor F. Cox, Kathryn A. Murray, Peter James Whorwell and Victoria Wilkinson‐Smith. Their work appears in journals such as Gut, Neurogastroenterology & Motility, Journal of Neurogastroenterology and Motility, The American Journal of Gastroenterology and Digestive and Liver Disease.

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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