Zhen Tang

666 citations
73 papers · 424 · h-index 10

Impact in

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

Papers in

Zhen Tang

54 papers receiving 404 citations

Peers

Zhen Tang
Comparison fields: 5 of 113
  • Rheumatology 113
  • Nephrology 45
  • Hepatology 38
  • Transplantation 10
  • Geometry and Topology 26
Replace Dionisis Cavouras with:
Dionisis Cavouras Greece
Eva Jelínková Czechia
Héctor Sanz United States
G. Lemineur France
R. Hanka United Kingdom
Takashi Kido Japan
Satoshi Ohshima Japan
Sarah Zhang United States
Thomas Welchowski Germany
Guozhen Wang China
Zhen Tang relative to Dionisis Cavouras Greece Dionisis Cavouras's profile →
Citations per field
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Dionisis Cavouras · 1×
Citations per year

Countries citing papers authored by Zhen Tang

Since Specialization
Citations

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

Fields of papers citing papers by Zhen Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mycophenolate mofetil vs cyclophosphamide therapy for patients with diffuse proliferative lupus nephritis.
2002114
2 202142
3 202032
4 201932
5 202227
6
On the spectral radius, k-degree and the upper bound of energy in a graph
200726
7 202313
8 202112
9 201911
10
The prognosis of biopsy-proven lupus nephritis in chinese patients: long term follow-up of 86 cases.
199710
11 20169
12 20229
13 20227
14 20247
15 20246
16 20204
17 20224
18 20253
19 20233
20 20193

About Zhen Tang

Zhen Tang is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Biomedical Engineering, having authored 73 papers that have together received 424 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (12 papers), DNA and Biological Computing (11 papers), RNA Interference and Gene Delivery (4 papers), Quantum-Dot Cellular Automata (4 papers), Plasmonic and Surface Plasmon Research (3 papers), Environmental Sustainability in Business (3 papers), Energy Load and Power Forecasting (3 papers) and Power Systems and Renewable Energy (3 papers). The work is most often cited by research in Rheumatology (113 citations), Nephrology (45 citations), Hepatology (38 citations), Transplantation (10 citations) and Geometry and Topology (26 citations). Zhen Tang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zhihong Liu, Huiping Chen, Weixin Hu, Lishi Li, Qinwen Wang, Yaoping Hou, Xinghao Ding, Yue Huang, Jing Yang and Haitao Wu. Their work appears in journals such as Frontiers in Oncology, Public Health, ACS Synthetic Biology, PeerJ and Journal of Affective Disorders.

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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