Nicholas Wang

615 citations
8 papers · 97 · h-index 3

Impact in

    • Parathyroid Disorders and Treatments
    • Sphingolipid Metabolism and Signaling
    • Inflammasome and immune disorders
    • Lipid Membrane Structure and Behavior
    • DNA Repair Mechanisms

Papers in

Nicholas Wang

7 papers receiving 96 citations

Peers

Nicholas Wang
Comparison fields: 5 of 33
  • Nephrology 6
  • Molecular Biology 61
  • Physiology 4
  • Cell Biology 14
  • Endocrinology, Diabetes and Metabolism 12
Replace Mònica Martínez with:
Mònica Martínez Spain
Brian B. Nadel United States
Rodrick Montjean France
Xiao Bao China
Paul Anaya United States
Meiheng Sun Hong Kong
Nitish Seenarine United States
Mary Anne S. Amper United States
Flávia Piazzon Brazil
Rudel A. Saunders United States
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Citations per field
00.5×12×
Mònica Martínez · 1×
Citations per year

Countries citing papers authored by Nicholas Wang

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 201164
2 202317
3 201811
4 20132
5
Abstract #5572: Small molecular inhibitor of centromere-associated protein E (CENP-E), GSK923295A inhibits cell growth in breast cancer cells
20091
6 20151
7 20161
8 20110

About Nicholas Wang

Nicholas Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 8 papers that have together received 97 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Alkaline Phosphatase Research Studies (2 papers), Sphingolipid Metabolism and Signaling (2 papers), DNA Repair Mechanisms (1 paper), Cancer Genomics and Diagnostics (1 paper), Ubiquitin and proteasome pathways (1 paper) and FOXO transcription factor regulation (1 paper). The work is most often cited by research in Nephrology (6 citations), Molecular Biology (61 citations), Physiology (4 citations), Cell Biology (14 citations) and Endocrinology, Diabetes and Metabolism (12 citations). Nicholas Wang has collaborated with scholars based in United States, Chile and Switzerland. Frequent co-authors include Zohreh Khavandgar, Christophe Poirier, Christopher J. Clarke, Monzur Murshed, Marc D. McKee, Yusuf A. Hannun, Jingjing Li, Menglu Yang, Darlene A. Dartt and Anton Lennikov. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, The Ocular Surface, Radiation Research and The Journal of Cell Biology.

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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