Lisha Yang

2.0k citations
74 papers · 1.6k · h-index 19

Impact in

Papers in

Lisha Yang

66 papers receiving 1.6k citations

Peers

Lisha Yang
Comparison fields: 5 of 69
  • Process Chemistry and Technology 93
  • Biomedical Engineering 406
  • Water Science and Technology 124
  • Complementary and alternative medicine 43
  • Biotechnology 30
Replace Qian Zeng with:
Qian Zeng China
Shan Liu China
Xinyi Wan China
Zhiguang Zhu China
Wen Luo China
Jinmei Chen China
Nopphon Weeranoppanant Thailand
Yong Hwan Kim South Korea
Ji Sun Lee South Korea
Lisha Yang relative to Qian Zeng China Qian Zeng's profile →
Citations per field
00.5×5×10×14.5×
Qian Zeng · 1×
Citations per year

Countries citing papers authored by Lisha Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lisha Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015155
2 2014130
3 2015117
4 2015111
5 201283
6 202082
7 201671
8 201760
9 201258
10 201753
11 201741
12 201538
13 202037
14 202333
15 202330
16 201428
17 202026
18 201525
19 202020
20 201419

About Lisha Yang

Lisha Yang is a scholar working on Water Science and Technology, Biomedical Engineering, Complementary and alternative medicine, Sensory Systems and Biotechnology, having authored 74 papers that have together received 1.6k indexed citations. Recurring topics across this work include Catalysis for Biomass Conversion (9 papers), Retinal Development and Disorders (7 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Advanced oxidation water treatment (4 papers), Hepatitis B Virus Studies (2 papers), Microbial Inactivation Methods (2 papers), Anaerobic Digestion and Biogas Production (2 papers) and Neurofibromatosis and Schwannoma Cases (2 papers). The work is most often cited by research in Process Chemistry and Technology (93 citations), Biomedical Engineering (406 citations), Water Science and Technology (124 citations), Complementary and alternative medicine (43 citations) and Biotechnology (30 citations). Lisha Yang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Hongfei Lin, Ji Su, Xiaokun Yang, Mi Lu, Wei Fan, Junjiang Fu, Jingliang Cheng, Joan G. Lynam, Chunli Wei and Vivek Vattipalli. Their work appears in journals such as Journal of Cellular and Molecular Medicine, ChemSusChem, PLoS ONE, Chemosphere and Applied Catalysis B: Environmental.

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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