Michael Noyong

701 citations
37 papers · 595 · h-index 15

Impact in

Papers in

Michael Noyong

36 papers receiving 593 citations

Peers

Michael Noyong
Comparison fields: 5 of 75
  • Molecular Medicine 62
  • Electronic, Optical and Magnetic Materials 156
  • Surfaces, Coatings and Films 40
  • Biomaterials 68
  • Pharmaceutical Science 30
Replace Leonardo D. Bonifacio with:
Leonardo D. Bonifacio Canada
Rahul Tiwari India
Weichao Zheng China
Jee‐Hyun Ryu South Korea
Thomas A. P. Seery United States
M. Lorena Cortez Argentina
Wenwen Xu China
Haining Cao China
Daming Cheng United States
Michael Noyong relative to Leonardo D. Bonifacio Canada Leonardo D. Bonifacio's profile →
Citations per field
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Leonardo D. Bonifacio · 1×
Citations per year

Countries citing papers authored by Michael Noyong

Since Specialization
Citations

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

Fields of papers citing papers by Michael Noyong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201572
2 200353
3 201752
4 201843
5 201833
6 201731
7 201225
8 200724
9 201524
10 201621
11 201119
12 200719
13 202019
14 201618
15 201716
16 200714
17 201412
18 200812
19 202310
20 201710

About Michael Noyong

Michael Noyong is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Materials Chemistry, Molecular Biology and Biomaterials, having authored 37 papers that have together received 595 indexed citations. Recurring topics across this work include Gold and Silver Nanoparticles Synthesis and Applications (12 papers), Advanced biosensing and bioanalysis techniques (7 papers), Nanocluster Synthesis and Applications (7 papers), Advancements in Battery Materials (5 papers), Nanoparticle-Based Drug Delivery (5 papers), Molecular Junctions and Nanostructures (5 papers), Advanced Battery Materials and Technologies (4 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Molecular Medicine (62 citations), Electronic, Optical and Magnetic Materials (156 citations), Surfaces, Coatings and Films (40 citations), Biomaterials (68 citations) and Pharmaceutical Science (30 citations). Michael Noyong has collaborated with scholars based in Germany, Chile and Slovakia. Frequent co-authors include Ulrich Simon, Nicolás Yutronic, Christof M. Niemeyer, Felix A. Plamper, Astrid Besmehn, Xiaodong Lei, Joachim Mayer, Rodrigo Sierpe, Larisa V. Sigolaeva and Walter Richtering. Their work appears in journals such as Colloid & Polymer Science, Journal of Nanoscience and Nanotechnology, Pharmaceutics, ChemCatChem and Materials Today Chemistry.

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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