Dexi Bi

48 papers receiving 2.7k citations

Dexi Bi's Hit Papers

Ketogenic diet for human diseases: the underlying mechanisms and potential for clinical implementations 2022 · 260 citations
2600+2+5Years since publication100200300

Peers

Dexi Bi
Comparison fields: 5 of 128
  • Molecular Medicine 526
  • Endocrinology 337
  • Microbiology 94
  • Molecular Biology 1.0k
  • Infectious Diseases 266
Replace William Hsiao with:
William Hsiao Canada
Igor Tolstoy United States
María López Spain
Annemieke Smet Belgium
Bo Han China
Hee Young Kang South Korea
Peter Schierack Germany
Jiahui Li China
Lihua Guo China
Masato Suzuki Japan
Dexi Bi relative to William Hsiao Canada William Hsiao's profile →
Citations per field
00.5×2.7×
William Hsiao · 1×
Citations per year

Countries citing papers authored by Dexi Bi

Since Specialization
Citations

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

Fields of papers citing papers by Dexi Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
ICEberg 2.0: an updated database of bacterial integrative and conjugative elements
Hit paper breakdown →
2018357
2
Ketogenic diet for human diseases: the underlying mechanisms and potential for clinical implementations
Hit paper breakdown →
2022260
3 2019222
4
Fusobacterium nucleatum enhances the efficacy of PD-L1 blockade in colorectal cancer
Hit paper breakdown →
2021213
5 2010212
6 2011171
7 2012150
8 201294
9 201992
10 201289
11 201778
12 201960
13 202455
14 201549
15 201248
16 201939
17 202437
18 201436
19 202334
20 201833

About Dexi Bi

Dexi Bi is a scholar working on Molecular Biology, Molecular Medicine, Infectious Diseases, Ecology and Genetics, having authored 51 papers that have together received 2.7k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (9 papers), Gut microbiota and health (8 papers), Bacterial Genetics and Biotechnology (6 papers), Genomics and Phylogenetic Studies (6 papers), Bacteriophages and microbial interactions (6 papers), Vibrio bacteria research studies (5 papers), Clostridium difficile and Clostridium perfringens research (4 papers) and Mycobacterium research and diagnosis (4 papers). The work is most often cited by research in Molecular Medicine (526 citations), Endocrinology (337 citations), Microbiology (94 citations), Molecular Biology (1.0k citations) and Infectious Diseases (266 citations). Dexi Bi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hong‐Yu Ou, Cui Tai, Zixin Deng, Kumar Rajakumar, Yingzhou Xie, Huiyuan Zhu, Xinyi He, Ewan M. Harrison, Huanlong Qin and Qing Wei. Their work appears in journals such as Nucleic Acids Research, Antimicrobial Agents and Chemotherapy, Nature Communications, PLoS ONE and Signal Transduction and Targeted Therapy.

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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