Bin Shi

1.6k citations
35 papers · 1.3k · h-index 15

Impact in

  • Virology top 1%
    • HIV Research and Treatment
  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Drug Transport and Resistance Mechanisms 3
    • HIV Research and Treatment 6

Bin Shi

34 papers receiving 1.3k citations

Peers

Bin Shi
Comparison fields: 5 of 107
  • Virology 612
  • Neurology 274
  • Immunology 303
  • Biological Psychiatry 31
  • Infectious Diseases 151
Replace David N. Irani with:
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Citations per field
00.5×1.5×2.5×
David N. Irani · 1×
Citations per year

Countries citing papers authored by Bin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Bin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004201
2 1996201
3 1998155
4
Localization of HIV-1 co-receptors CCR5 and CXCR4 in the brain of children with AIDS.
1998148
5 1999143
6 199798
7 199561
8 201636
9 200028
10 199526
11 200626
12 202119
13 199418
14 201716
15 200515
16 200613
17
Derivation and initial characterization of a mouse mammary tumor cell line carrying the polyomavirus middle T antigen: utility in the development of novel cancer therapeutics.
200013
18 199412
19 200612
20 201910

About Bin Shi

Bin Shi is a scholar working on Oncology, Virology, Molecular Biology, Immunology and Genetics, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (6 papers), RNA Interference and Gene Delivery (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Web Data Mining and Analysis (2 papers), Helminth infection and control (2 papers), Regulation of Appetite and Obesity (2 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Virology (612 citations), Neurology (274 citations), Immunology (303 citations), Biological Psychiatry (31 citations) and Infectious Diseases (151 citations). Bin Shi has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Dana Gabuzda, Alfredo Lorenzo, Jorge Busciglio, Julian He, Umberto De Girolami, Mary E. Sunday, Tom Polte, Sui Huang, Donald E. Ingber and Kimberly A. Moore. Their work appears in journals such as Parasite Immunology, Digestive Diseases and Sciences, Journal of Virology, Biomedicine & Pharmacotherapy and Journal of Surgical Research.

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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