Mimi Yang

1.1k total citations · 1 hit paper
6 papers, 918 citations indexed

About

Mimi Yang is a scholar working on Molecular Biology, Biomaterials and Plant Science. According to data from OpenAlex, Mimi Yang has authored 6 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Biomaterials and 3 papers in Plant Science. Recurrent topics in Mimi Yang's work include Nanoparticle-Based Drug Delivery (3 papers), Nanoplatforms for cancer theranostics (3 papers) and Phytase and its Applications (3 papers). Mimi Yang is often cited by papers focused on Nanoparticle-Based Drug Delivery (3 papers), Nanoplatforms for cancer theranostics (3 papers) and Phytase and its Applications (3 papers). Mimi Yang collaborates with scholars based in New Zealand and United States. Mimi Yang's co-authors include William R. Wilson, Zimei Wu, Brian D. Palmer, Manju Kanamala, Pushpalatha P. N. Murthy, Steven C. Johnson and Stephen M. F. Jamieson and has published in prestigious journals such as Biomaterials, International Journal of Pharmaceutics and Pharmaceutical Research.

In The Last Decade

Mimi Yang

6 papers receiving 908 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mechanisms and biomaterials in pH-responsive tumour targeted drug delivery: A review

2016 830 citations Manju Kanamala, William R. Wilson et al. Biomaterials profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mimi Yang New Zealand	6	541	458	335	133	110	6	918
Manju Kanamala New Zealand	9	653 1.2×	527 1.2×	419 1.3×	149 1.1×	114 1.0×	12	1.1k
Evgenia Korzhikova‐Vlakh Russia	18	425 0.8×	428 0.9×	397 1.2×	146 1.1×	200 1.8×	86	1.1k
Ze‐Yong Li China	15	523 1.0×	417 0.9×	309 0.9×	244 1.8×	143 1.3×	16	850
Nate Larson United States	9	523 1.0×	391 0.9×	320 1.0×	116 0.9×	157 1.4×	10	878
Leila Haghani United States	4	588 1.1×	670 1.5×	332 1.0×	303 2.3×	136 1.2×	7	1.2k
Renjith P. Johnson South Korea	16	395 0.7×	270 0.6×	223 0.7×	116 0.9×	195 1.8×	30	763
Shu‐Jyuan Yang Taiwan	17	451 0.8×	484 1.1×	423 1.3×	232 1.7×	69 0.6×	35	1.2k
Akbar Vaseghi Iran	8	610 1.1×	722 1.6×	437 1.3×	330 2.5×	147 1.3×	14	1.4k
Sarwar Hossen Bangladesh	6	397 0.7×	379 0.8×	241 0.7×	182 1.4×	59 0.5×	11	816

Countries citing papers authored by Mimi Yang

Since Specialization

Citations

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

Fields of papers citing papers by Mimi Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mimi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Mimi Yang. A scholar is included among the top collaborators of Mimi Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mimi Yang. Mimi Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Yang, Mimi, et al.. (2022). Calcium Enabled Remote Loading of a Weak Acid Into pH-sensitive Liposomes and Augmented Cytosolic Delivery to Cancer Cells via the Proton Sponge Effect. Pharmaceutical Research. 39(6). 1181–1195. 14 indexed citations

2.

Yang, Mimi, William R. Wilson, & Zimei Wu. (2016). pH-Sensitive PEGylated liposomes for delivery of an acidic dinitrobenzamide mustard prodrug: Pathways of internalization, cellular trafficking and cytotoxicity to cancer cells. International Journal of Pharmaceutics. 516(1-2). 323–333. 25 indexed citations

3.

Kanamala, Manju, William R. Wilson, Mimi Yang, Brian D. Palmer, & Zimei Wu. (2016). Mechanisms and biomaterials in pH-responsive tumour targeted drug delivery: A review. Biomaterials. 85. 152–167. 830 indexed citations breakdown →

4.

Yang, Mimi, et al.. (2015). Extracellular expression of alkaline phytase in Pichia pastoris: Influence of signal peptides, promoters and growth medium. Biotechnology Reports. 6. 112–118. 14 indexed citations

5.

Yang, Mimi, Steven C. Johnson, & Pushpalatha P. N. Murthy. (2012). Enhancement of alkaline phytase production in Pichia pastoris: Influence of gene dosage, sequence optimization and expression temperature. Protein Expression and Purification. 84(2). 247–254. 17 indexed citations

6.

Johnson, Steven C., Mimi Yang, & Pushpalatha P. N. Murthy. (2010). Heterologous expression and functional characterization of a plant alkaline phytase in Pichia pastoris. Protein Expression and Purification. 74(2). 196–203. 18 indexed citations

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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