Bin Shi

1.6k citations
35 papers · 1.3k indexed · h-index 15
Topics
HIV Research and Treatment (6 papers)RNA Interference and Gene Delivery (3 papers)Neuroinflammation and Neurodegeneration Mechanisms (3 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Bin Shi

34 papers receiving 1.3k citations

Peers

Bin Shi
Comparison fields: 5 of 108
  • Virology 623
  • Molecular Biology 374
  • Immunology 326
  • Neurology 283
  • Physiology 162
Replace David N. Irani with:
David N. Irani United States
Stephanie J. Bissel United States
Ruma Mukerjee United States
Désirée Kunkel Germany
Olivia Bonduelle France
Rüdiger Dörries Germany
Angela K. Brice United States
Zofia Wróblewska United States
Wayne A. Schroder Australia
Martyn K. White United States
Bin Shi relative to David N. Irani United States David N. Irani's profile →
Citations per field
00.5×1.5×2.4×
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-authorship network of co-authors of Bin Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Shi. A scholar is included among the top collaborators of Bin Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bin Shi. Bin Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 2
3 3
4 16
5 7
6 10
7 15
8 35
9 0
10 12
11 13
12 26
13 200
14
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.
13
15 155
16 98
17 202
18 26
19 18
20 12

About Bin Shi

Bin Shi is a scholar working on Virology, Neurology and Oncology, 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) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Virology (623 citations), Neurology (283 citations) and Immunology (326 citations). Bin Shi has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Dana Gabuzda, Jorge Busciglio, Alfredo Lorenzo, Umberto De Girolami, Julian He, Tom Polte, Mary E. Sunday, Donald E. Ingber, Sui Huang and Eben Alsberg. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Virology.

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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