Amy M.L. Ng

3.2k citations
42 papers · 2.6k indexed · h-index 25

Impact in

  • Physiology top 0.05%
    • Adenosine and Purinergic Signaling
    • Renal Transplantation Outcomes and Treatments

Papers in

Amy M.L. Ng

42 papers receiving 2.5k citations

Peers

Amy M.L. Ng
Comparison fields: 5 of 112
  • Physiology 1.5k
  • Transplantation 224
  • Biochemistry 358
  • Oncology 812
  • Pediatrics, Perinatology and Child Health 527
Replace F. Javier Casado with:
F. Javier Casado Spain
Sylvia Y.M. Yao Canada
Mabel W.L. Ritzel Canada
Alan R. P. Paterson Canada
Yutaka Natsumeda United States
Mark Griffiths United Kingdom
A. R. P. Paterson Canada
Anna Erat United States
Józef Spychała United States
Sergey Apasov United States
Amy M.L. Ng relative to F. Javier Casado Spain F. Javier Casado's profile →
Citations per field
00.5×1.6×
F. Javier Casado · 1×
Citations per year

Countries citing papers authored by Amy M.L. Ng

Since Specialization
Citations

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

Fields of papers citing papers by Amy M.L. Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20179
2 201252
3 2011100
4 200914
5 200912
6 200816
7 200855
8 200715
9 200563
10 200445
11 200471
12 200414
13 2002110
14 2002102
15 2001283
16 200198
17 199967
18 199892
19 1997190
20 19866

About Amy M.L. Ng

Amy M.L. Ng is a scholar working on Physiology, Transplantation, Biochemistry, Aging and Infectious Diseases, having authored 42 papers that have together received 2.6k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (35 papers), Drug Transport and Resistance Mechanisms (11 papers), HIV/AIDS drug development and treatment (10 papers), Amino Acid Enzymes and Metabolism (7 papers), Genetics and Neurodevelopmental Disorders (6 papers), Neonatal Health and Biochemistry (5 papers), Biochemical and Molecular Research (5 papers) and Renal Transplantation Outcomes and Treatments (4 papers). The work is most often cited by research in Physiology (1.5k citations), Transplantation (224 citations), Biochemistry (358 citations), Oncology (812 citations) and Pediatrics, Perinatology and Child Health (527 citations). Amy M.L. Ng has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include James D. Young, Carol E. Cass, Sylvia Y.M. Yao, Stephen A. Baldwin, Mabel W.L. Ritzel, Edward Karpinski, Shaun Loewen, Ralph J. Hyde, Mark F. Vickers and Mark Griffiths. Their work appears in journals such as Journal of Biological Chemistry, Molecular Membrane Biology, Molecular Pharmacology, Yeast and Biochemistry.

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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