M.-L. Cheng

504 citations
12 papers · 421 · h-index 7

Impact in

  • Nephrology top 10%
    • Chronic Kidney Disease and Diabetes
    • Dialysis and Renal Disease Management
    • Renal function and acid-base balance
    • Arsenic contamination and mitigation

Papers in

M.-L. Cheng

10 papers receiving 394 citations

Peers

M.-L. Cheng
Comparison fields: 5 of 68
  • Nephrology 61
  • Environmental Chemistry 75
  • Health, Toxicology and Mutagenesis 77
  • Endocrinology, Diabetes and Metabolism 42
  • Nutrition and Dietetics 35
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Ni Gao China
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Chunming Li China
Silvia Daniele Rodrigues Brazil
Erdem Durmaz Türkiye
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Citations per year

Countries citing papers authored by M.-L. Cheng

Since Specialization
Citations

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

Fields of papers citing papers by M.-L. Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.-L. Cheng. 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 M.-L. Cheng. The network helps show where M.-L. Cheng may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2004150
2 1988110
3 198654
4 198850
5 201827
6 201110
7 19889
8 19876
9
Response and acquired resistance to savolitinib in a patient with pulmonary sarcomatoid carcinoma harboring MET exon 14 skipping mutation: a case report
20193
10 20202
11 20180
12 20250

About M.-L. Cheng

M.-L. Cheng is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Nephrology, Pulmonary and Respiratory Medicine and Genetics, having authored 12 papers that have together received 421 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Cancer, Lipids, and Metabolism (2 papers), Acute Myeloid Leukemia Research (1 paper), Protein Hydrolysis and Bioactive Peptides (1 paper), Biochemical effects in animals (1 paper), Dialysis and Renal Disease Management (1 paper), Chronic Kidney Disease and Diabetes (1 paper) and Metastasis and carcinoma case studies (1 paper). The work is most often cited by research in Nephrology (61 citations), Environmental Chemistry (75 citations), Health, Toxicology and Mutagenesis (77 citations), Endocrinology, Diabetes and Metabolism (42 citations) and Nutrition and Dietetics (35 citations). M.-L. Cheng has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Bryan D. Myers, LANNY C. KEIL, John L. VandeBerg, Hua Chen, Bhalchandra A. Diwan, William E. Achanzar, Youhua Xie, Michael P. Waalkes, Yunshu Zhou and Bennett Dyke. Their work appears in journals such as Biochemical Genetics, Journal of Food and Drug Analysis, Nucleic Acids Research, JNCI Journal of the National Cancer Institute and Journal of Clinical Investigation.

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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