Yaming Su

431 citations
12 papers · 369 · h-index 9

Impact in

    • Drug Transport and Resistance Mechanisms
    • Barrier Structure and Function Studies

Papers in

    • Barrier Structure and Function Studies 2
    • Neuroinflammation and Neurodegeneration Mechanisms 1
    • Drug Transport and Resistance Mechanisms 5

Yaming Su

12 papers receiving 355 citations

Peers

Yaming Su
Comparison fields: 5 of 55
  • Oncology 128
  • Neurology 35
  • Pharmaceutical Science 29
  • Pharmacology 29
  • Biomaterials 28
Replace Eric D. Eisenmann with:
Eric D. Eisenmann United States
Hélène Chapy France
Herbert G. Barthlow United States
Peng Hsiao United States
Enikő Ioja Hungary
Jaap J. M. Smit Netherlands
Kouichi Kawazu Japan
Eugene C. Chen United States
Joseph D. Rager United States
Yaming Su relative to Eric D. Eisenmann United States Eric D. Eisenmann's profile →
Citations per field
00.5×2×4×6×8.8×
Eric D. Eisenmann · 1×
Citations per year

Countries citing papers authored by Yaming Su

Since Specialization
Citations

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

Fields of papers citing papers by Yaming Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Yaming Su, 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 Yaming Su Line = papers co-authored together Yaming Su links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 200396
2 200658
3 201545
4 200332
5 200731
6 201931
7 200429
8 200628
9 200710
10 20045
11 20042
12 20182

About Yaming Su

Yaming Su is a scholar working on Neurology, Oncology, Pediatrics, Perinatology and Child Health, Statistics and Probability and Hematology, having authored 12 papers that have together received 369 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (5 papers), Barrier Structure and Function Studies (2 papers), Pharmaceutical studies and practices (2 papers), RNA Interference and Gene Delivery (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Cell death mechanisms and regulation (1 paper), Statistical Methods in Clinical Trials (1 paper) and Rheumatoid Arthritis Research and Therapies (1 paper). The work is most often cited by research in Oncology (128 citations), Neurology (35 citations), Pharmaceutical Science (29 citations), Pharmacology (29 citations) and Biomaterials (28 citations). Yaming Su has collaborated with scholars based in United States, South Korea and Taiwan. Frequent co-authors include Patrick J. Sinko, Doina Ganea, G. Miller Jonakait, Christine R. Xu, Xiaorong Peng, Peidi Hu, Anne Josee Paccaly, Prof. Xiao-Ping Zhang, Michael J. Leibowitz and Carol R. Gardner. Their work appears in journals such as Molecular Pharmaceutics, The AAPS Journal, Expert Opinion on Drug Delivery, European Journal of Pharmaceutical Sciences and Journal of Neuroimmunology.

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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