Mingdi Yan

6.9k citations
176 papers · 5.6k · h-index 44

Impact in

Papers in

Mingdi Yan

171 papers receiving 5.5k citations

Peers

Mingdi Yan
Comparison fields: 5 of 124
  • Surfaces, Coatings and Films 464
  • Organic Chemistry 1.7k
  • Biomaterials 687
  • Materials Chemistry 1.8k
  • Biomedical Engineering 1.6k
Replace Kenichi Niikura with:
Kenichi Niikura Japan
Thomas Hellweg Germany
Haruma Kawaguchi Japan
Yoshiko Miura Japan
Guosong Chen China
Steven L. Regen United States
Kuniharu Ijiro Japan
Charles Michael Drain United States
Aldrik H. Velders Netherlands
Daniel L. Feldheim United States
Mingdi Yan relative to Kenichi Niikura Japan Kenichi Niikura's profile →
Citations per field
00.5×3.1×
Kenichi Niikura · 1×
Citations per year

Countries citing papers authored by Mingdi Yan

Since Specialization
Citations

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

Fields of papers citing papers by Mingdi Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012351
2 2010182
3 2010154
4 2015139
5 2013117
6 2010115
7 2009101
8 2009100
9 201496
10 200995
11 200994
12 201091
13 201287
14 201785
15 201779
16 202177
17 201076
18 200375
19 200574
20 201168

About Mingdi Yan

Mingdi Yan is a scholar working on Molecular Biology, Organic Chemistry, Biomedical Engineering, Materials Chemistry and Electrical and Electronic Engineering, having authored 176 papers that have together received 5.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (30 papers), Molecular Junctions and Nanostructures (30 papers), Nanofabrication and Lithography Techniques (24 papers), Click Chemistry and Applications (22 papers), Monoclonal and Polyclonal Antibodies Research (18 papers), Graphene research and applications (17 papers), Carbohydrate Chemistry and Synthesis (13 papers) and Analytical chemistry methods development (12 papers). The work is most often cited by research in Surfaces, Coatings and Films (464 citations), Organic Chemistry (1.7k citations), Biomaterials (687 citations), Materials Chemistry (1.8k citations) and Biomedical Engineering (1.6k citations). Mingdi Yan has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Olof Ramström, Lihong Liu, Jaehyeung Park, Xuan Chen, Sheng Xie, Kalana W. Jayawardana, H. Surangi N. Jayawardena, Nanjing Hao, John F. W. Keana and Xin Wang. Their work appears in journals such as Chemical Communications, Analytical Chemistry, Bioconjugate Chemistry, ACS Applied Materials & Interfaces and Chemistry - A European Journal.

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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