Zhibo Gai

4.4k citations
72 papers · 3.3k indexed · 3 hit papers · h-index 31

Zhibo Gai

70 papers receiving 3.3k citations

Hit Papers

Dual-Functional Plasmonic Photothermal Biosensors for Hig...8282019202620212023250500750

Peers

Zhibo Gai
Comparison fields: 5 of 143
  • Nephrology 280
  • Infectious Diseases 629
  • Pharmacology 208
  • Biochemistry 160
  • Clinical Biochemistry 131
Replace Xiaojian Wan with:
Xiaojian Wan China
Keming Zhu China
Guifang Yu China
Cheng Zhang China
Zhi‐Gang She China
Wenjie Wang China
John T. Curnutte United States
Rita Paroni Italy
Xue Qin China
Weiguo Dong China
Zhibo Gai relative to Xiaojian Wan China Xiaojian Wan's profile →
Citations per field
00.5×
Xiaojian Wan · 1×
Citations per year

Countries citing papers authored by Zhibo Gai

Since Specialization
Citations

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

Fields of papers citing papers by Zhibo Gai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20235
4 20234
5 20235
6 20227
7 202213
8 202158
9
Dual-Functional Plasmonic Photothermal Biosensors for Highly Accurate Severe Acute Respiratory Syndrome Coronavirus 2 Detectionbreakdown →
2020828
10 202021
11 2020131
12 202034
13 202023
14 202011
15 201821
16 201771
17 201672
18 20159
19 201130
20 200831

About Zhibo Gai

Zhibo Gai is a scholar working on Biochemistry, Oncology, Nephrology, Clinical Biochemistry and Pharmacology, having authored 72 papers that have together received 3.3k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (21 papers), Liver Disease Diagnosis and Treatment (10 papers), Pharmacological Effects and Toxicity Studies (6 papers), Amino Acid Enzymes and Metabolism (6 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Metabolism and Genetic Disorders (5 papers), Renal and related cancers (5 papers) and Trace Elements in Health (4 papers). The work is most often cited by research in Nephrology (280 citations), Infectious Diseases (629 citations), Pharmacology (208 citations), Biochemistry (160 citations) and Clinical Biochemistry (131 citations). Zhibo Gai has collaborated with scholars based in China, Switzerland and Japan. Frequent co-authors include Gerd A. Kullak‐Ublick, Michele Visentin, Jing Wang, Guangyu Qiu, Yile Tao, Jean Schmitt, Ting Gui, Zhenguo Wang, Xianjun Fu and Tianqi Wang. Their work appears in journals such as International Journal of Molecular Sciences, Experimental and Molecular Pathology, Liver International, Scientific Reports and Molecular 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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