Taicheng Lu

637 citations
28 papers · 468 · h-index 14

Impact in

    • Systemic Lupus Erythematosus Research
  • Nephrology top 10%
    • Renal Diseases and Glomerulopathies

Papers in

    • Advanced biosensing and bioanalysis techniques 7
    • CRISPR and Genetic Engineering 3
    • RNA Interference and Gene Delivery 3
    • Graphene and Nanomaterials Applications 5
    • Nanoplatforms for cancer theranostics 4
    • Biosensors and Analytical Detection 4

Taicheng Lu

27 papers receiving 457 citations

Peers

Taicheng Lu
Comparison fields: 5 of 71
  • Rheumatology 172
  • Nephrology 69
  • Immunology 118
  • Biomaterials 47
  • Radiology, Nuclear Medicine and Imaging 80
Replace Su Jiang with:
Su Jiang China
Mark G.P. Saifer United States
Qiying Shen China
Guan Zhang China
Marcin Florczak Poland
Yunrong Yang China
Ruiqi Liu China
Eva Moelants Belgium
Dapeng Wei China
Taicheng Lu relative to Su Jiang China Su Jiang's profile →
Citations per field
00.5×3.4×
Su Jiang · 1×
Citations per year

Countries citing papers authored by Taicheng Lu

Since Specialization
Citations

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

Fields of papers citing papers by Taicheng Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201088
2 201164
3 201045
4 202036
5 202321
6 201920
7 202119
8 202219
9 202217
10 202117
11 202416
12 202116
13 202115
14 202213
15 202213
16 202112
17 20199
18 20236
19 20235
20 20244

About Taicheng Lu

Taicheng Lu is a scholar working on Molecular Biology, Biomedical Engineering, Pulmonary and Respiratory Medicine, Biomaterials and Infectious Diseases, having authored 28 papers that have together received 468 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (7 papers), Nanoparticle-Based Drug Delivery (5 papers), Graphene and Nanomaterials Applications (5 papers), Nanoplatforms for cancer theranostics (4 papers), Biosensors and Analytical Detection (4 papers), CRISPR and Genetic Engineering (3 papers), Cancer Mechanisms and Therapy (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Rheumatology (172 citations), Nephrology (69 citations), Immunology (118 citations), Biomaterials (47 citations) and Radiology, Nuclear Medicine and Imaging (80 citations). Taicheng Lu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include David Isenberg, Ian Giles, Anisur Rahman, Michael R. Ehrenstein, Tabitha Turner‐Stokes, Xuehua Li, Fa‐Yan Meng, Mei Wei, Yun Lei and Ana Filipa Mourão. Their work appears in journals such as Lara D. Veeken, Biosensors and Bioelectronics, Journal of Ethnopharmacology, Analytical Chemistry and Journal of Pharmacy and Pharmacology.

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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