Genbin Shi

866 citations
30 papers · 708 · h-index 16

Impact in

    • Biochemical and Molecular Research
    • TGF-β signaling in diseases
    • Protein Structure and Dynamics
    • Renal and related cancers
    • HIV/AIDS drug development and treatment

Papers in

    • Biochemical and Molecular Research 17
    • Renal and related cancers 3
    • RNA and protein synthesis mechanisms 3
    • Pneumocystis jirovecii pneumonia detection and treatment 17

Genbin Shi

30 papers receiving 701 citations

Peers

Genbin Shi
Comparison fields: 5 of 75
  • Molecular Biology 594
  • Infectious Diseases 145
  • Epidemiology 212
  • Organic Chemistry 165
  • Molecular Medicine 18
Replace Daniel Conole with:
Daniel Conole United Kingdom
Claudia Jessen‐Trefzer Germany
Fabio Zuccotto United Kingdom
Jaeseung Kim United States
Florence Leroux France
Conor S. Barry United Kingdom
Matthieu Desroses Sweden
Sarah Barelier France
David B. Kastrinsky United States
Michaela Serpi United Kingdom
Genbin Shi relative to Daniel Conole United Kingdom Daniel Conole's profile →
Citations per field
00.5×1.5×2.2×
Daniel Conole · 1×
Citations per year

Countries citing papers authored by Genbin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Genbin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004155
2 199956
3 201452
4 200548
5 200134
6 200134
7 200332
8 200230
9 200430
10 200428
11 200026
12 200622
13 201120
14 200619
15 200317
16 201216
17 200712
18 202011
19 200510
20 201410

About Genbin Shi

Genbin Shi is a scholar working on Molecular Biology, Epidemiology, Organic Chemistry, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 708 indexed citations. Recurring topics across this work include Pneumocystis jirovecii pneumonia detection and treatment (17 papers), Biochemical and Molecular Research (17 papers), Carbohydrate Chemistry and Synthesis (12 papers), HIV/AIDS drug development and treatment (6 papers), Renal and related cancers (3 papers), RNA and protein synthesis mechanisms (3 papers), Renal cell carcinoma treatment (2 papers) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Molecular Biology (594 citations), Infectious Diseases (145 citations), Epidemiology (212 citations), Organic Chemistry (165 citations) and Molecular Medicine (18 citations). Genbin Shi has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Xinhua Ji, Honggao Yan, Jarosław Błaszczyk, Yue Li, Mark de Caestecker, Suvana S. Lam, Kai Lin, Benoy M. Chacko, Bin Qin and Ashutosh Tiwari. Their work appears in journals such as Biochemistry, Structure, Bioorganic & Medicinal Chemistry, Journal of Molecular Graphics and Modelling and Journal of Biological Chemistry.

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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