Lida Wang

676 citations
23 papers · 609 · h-index 13

Impact in

    • Advanced biosensing and bioanalysis techniques
    • RNA Interference and Gene Delivery
    • DNA and Nucleic Acid Chemistry
    • RNA and protein synthesis mechanisms
    • Advanced Biosensing Techniques and Applications
    • MicroRNA in disease regulation

Papers in

    • Advanced biosensing and bioanalysis techniques 7
    • Machine Learning in Bioinformatics 3
    • RNA and protein synthesis mechanisms 3

Lida Wang

21 papers receiving 587 citations

Peers

Lida Wang
Comparison fields: 5 of 82
  • Molecular Biology 502
  • Cancer Research 69
  • Biomedical Engineering 207
  • Filtration and Separation 6
  • General Agricultural and Biological Sciences 19
Replace Xin Chai with:
Xin Chai China
Xiaowen Cao China
Zhouqing Luo China
Weiping Li China
Nishant Kumar India
Alexis Autour France
Yong‐Chan Kwon United States
Sandra T Merino Spain
Adam D. Silverman United States
Lida Wang relative to Xin Chai China Xin Chai's profile →
Citations per field
00.5×2×4×6×8×9.5×
Xin Chai · 1×
Citations per year

Countries citing papers authored by Lida Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lida Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018172
2 2015123
3 201539
4 201439
5 201437
6 202233
7 202030
8 201421
9 201721
10 202118
11 202017
12 202014
13 201913
14 202111
15 20185
16 20204
17 20044
18 20243
19 20132
20 20142

About Lida Wang

Lida Wang is a scholar working on Molecular Biology, Plant Science, Biomedical Engineering, Organic Chemistry and Horticulture, having authored 23 papers that have together received 609 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (7 papers), Biosensors and Analytical Detection (4 papers), Machine Learning in Bioinformatics (3 papers), RNA and protein synthesis mechanisms (3 papers), Chemical synthesis and alkaloids (2 papers), Traditional and Medicinal Uses of Annonaceae (1 paper), Chemical and Physical Properties in Aqueous Solutions (1 paper) and Web visibility and informetrics (1 paper). The work is most often cited by research in Molecular Biology (502 citations), Cancer Research (69 citations), Biomedical Engineering (207 citations), Filtration and Separation (6 citations) and General Agricultural and Biological Sciences (19 citations). Lida Wang has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Jinghong Li, Ruijie Deng, Kaixiang Zhang, Yupeng Sun, Yang Liu, Weidong Xu, Jing‐Kun Yan, Lei Lin, Longhua Tang and Bruno J. Salena. Their work appears in journals such as Analytical Chemistry, Chemical Science, Journal of Asian Natural Products Research, Frontiers in Genetics 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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