Yina Moon

607 citations
26 papers · 490 · h-index 9

Impact in

Papers in

Yina Moon

25 papers receiving 475 citations

Peers

Yina Moon
Comparison fields: 5 of 40
  • Polymers and Plastics 326
  • Bioengineering 53
  • Electrical and Electronic Engineering 324
  • Electrochemistry 32
  • Materials Chemistry 102
Replace Liliana Micaroni with:
Liliana Micaroni Brazil
P. Dannetun Sweden
David Bott United Kingdom
P. Barta Poland
T.S. Shafai United Kingdom
Kai‐Uwe Gaudl Germany
Katsuhisa Ohzeki Japan
C. P. An United States
Marina Nella Guglielmi France
J. Kaufer United States
Yina Moon relative to Liliana Micaroni Brazil Liliana Micaroni's profile →
Citations per field
00.5×
Liliana Micaroni · 1×
Citations per year

Countries citing papers authored by Yina Moon

Since Specialization
Citations

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

Fields of papers citing papers by Yina Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985170
2 198799
3 202344
4 198726
5 198924
6 199716
7 202214
8 198812
9 202111
10 20228
11 20228
12 20218
13 20238
14 20247
15 20245
16 20235
17 20235
18 20215
19 20224
20 20244

About Yina Moon

Yina Moon is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering and Physical and Theoretical Chemistry, having authored 26 papers that have together received 490 indexed citations. Recurring topics across this work include Conducting polymers and applications (18 papers), Organic Electronics and Photovoltaics (13 papers), Graphene research and applications (4 papers), Perovskite Materials and Applications (4 papers), Organic Light-Emitting Diodes Research (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Carbon Nanotubes in Composites (3 papers) and Synthesis and properties of polymers (2 papers). The work is most often cited by research in Polymers and Plastics (326 citations), Bioengineering (53 citations), Electrical and Electronic Engineering (324 citations), Electrochemistry (32 citations) and Materials Chemistry (102 citations). Yina Moon has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Fred Wudl, Masakazu Kobayashi, A. J. Heeger, Zhao Mo, David Bott, M. J. Winokur, J. Barker, Alan J. Heeger, Hideki Shirakawa and Dong‐Yu Kim. Their work appears in journals such as Solar RRL, Macromolecules, ACS Applied Materials & Interfaces, Journal of Materials Chemistry C and Advanced Optical Materials.

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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