Bibo Li

2.4k citations
62 papers · 1.8k indexed · h-index 21

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 5%
    • Telomeres, Telomerase, and Senescence

Papers in

    • Trypanosoma species research and implications 32
    • Cytomegalovirus and herpesvirus research 14
    • CRISPR and Genetic Engineering 9

Bibo Li

61 papers receiving 1.8k citations

Peers

Bibo Li
Comparison fields: 5 of 100
  • Aging 191
  • Physiology 714
  • Epidemiology 570
  • Molecular Biology 1.1k
  • Public Health, Environmental and Occupational Health 322
Replace Gaurav Gupta with:
Gaurav Gupta India
Manu De Rycker United Kingdom
Lynn S. Grinna United States
Maryam Gerami‐Nejad United States
Jason D. Oliver United Kingdom
Shuai Nie Australia
Xue Bai China
Alice G. Sorgo Netherlands
Bibo Li relative to Gaurav Gupta India Gaurav Gupta's profile →
Citations per field
00.5×10×15×21.2×
Gaurav Gupta · 1×
Citations per year

Countries citing papers authored by Bibo Li

Since Specialization
Citations

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

Fields of papers citing papers by Bibo Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000453
2 2000134
3 2009131
4 2003121
5 200572
6 201753
7 200151
8 201250
9 201149
10 200647
11 201440
12 201433
13 201333
14 202232
15 201330
16 201530
17 202129
18 201328
19 201627
20 201127

About Bibo Li

Bibo Li is a scholar working on Epidemiology, Molecular Biology, Public Health, Environmental and Occupational Health, Physiology and Organic Chemistry, having authored 62 papers that have together received 1.8k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (32 papers), Research on Leishmaniasis Studies (19 papers), Cytomegalovirus and herpesvirus research (14 papers), Telomeres, Telomerase, and Senescence (12 papers), CRISPR and Genetic Engineering (9 papers), Synthesis and Biological Evaluation (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers) and VLSI and Analog Circuit Testing (4 papers). The work is most often cited by research in Aging (191 citations), Physiology (714 citations), Epidemiology (570 citations), Molecular Biology (1.1k citations) and Public Health, Environmental and Occupational Health (322 citations). Bibo Li has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Titia de Lange, George Cross, Unnati M. Pandya, Luísa M. Figueiredo, Xiaofeng Yang, Harry Scherthan, Tycho Lock, Maj Hultén, Susan Smith and Oliver Dreesen. Their work appears in journals such as Nucleic Acids Research, Bioorganic & Medicinal Chemistry, PLoS ONE, Cell Research and Frontiers in Cell and Developmental Biology.

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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