Bin Ju

4.2k citations
58 papers · 568 indexed · h-index 13

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Viral gastroenteritis research and epidemiology

Papers in

Bin Ju

51 papers receiving 551 citations

Peers

Bin Ju
Comparison fields: 5 of 76
  • Infectious Diseases 316
  • Virology 28
  • Hepatology 34
  • Animal Science and Zoology 43
  • Health 27
Replace Philip J. M. Brouwer with:
Philip J. M. Brouwer United States
Mallorie E. Fouch United States
Raj Kalkeri United States
Matthew Ierullo Canada
Rita M. Meganck United States
Anqi Zheng China
Maja Šantak Croatia
Aurelio Bonavia United States
Solène Denolly France
Ruoke Wang China
Bin Ju relative to Philip J. M. Brouwer United States Philip J. M. Brouwer's profile →
Citations per field
00.5×2.7×
Philip J. M. Brouwer · 1×
Citations per year

Countries citing papers authored by Bin Ju

Since Specialization
Citations

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

Fields of papers citing papers by Bin Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021138
2 202230
3 200630
4 201227
5 200626
6 202123
7 200618
8 202416
9 202016
10 202214
11 202314
12 202413
13 202212
14 202210
15 20249
16
Integrating dual workfunction metal gates in CMOS
20068
17 20228
18 20238
19 20228
20 20248

About Bin Ju

Bin Ju is a scholar working on Virology, Infectious Diseases, Animal Science and Zoology, Immunology and Hepatology, having authored 58 papers that have together received 568 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (22 papers), Advancements in Semiconductor Devices and Circuit Design (9 papers), Semiconductor materials and devices (9 papers), HIV Research and Treatment (8 papers), SARS-CoV-2 detection and testing (7 papers), Ferroelectric and Negative Capacitance Devices (7 papers), Animal Virus Infections Studies (6 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Infectious Diseases (316 citations), Virology (28 citations), Hepatology (34 citations), Animal Science and Zoology (43 citations) and Health (27 citations). Bin Ju has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zheng Zhang, Xiangyang Ge, Qing Fan, Bing Zhou, Huimin Guo, Lin Cheng, Qiang Ding, Ruoke Wang, Rui Zhang and Linqi Zhang. Their work appears in journals such as Virology Journal, Nature Communications, Cell Reports, Emerging Microbes & Infections 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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