Lei Ba

1.1k citations
14 papers · 848 · h-index 13

Impact in

  • Virology top 1%
    • HIV Research and Treatment
    • SARS-CoV-2 and COVID-19 Research
    • HIV/AIDS drug development and treatment
    • COVID-19 Clinical Research Studies
    • HIV/AIDS Research and Interventions
    • Viral gastroenteritis research and epidemiology

Papers in

    • SARS-CoV-2 and COVID-19 Research 5
    • HIV/AIDS drug development and treatment 4
    • HIV/AIDS Research and Interventions 2
    • Viral gastroenteritis research and epidemiology 2
    • HIV Research and Treatment 8

Lei Ba

14 papers receiving 835 citations

Peers

Lei Ba
Comparison fields: 5 of 48
  • Virology 406
  • Infectious Diseases 570
  • Animal Science and Zoology 110
  • Hepatology 57
  • Immunology 145
Replace Brenda Larkin with:
Brenda Larkin United States
Joseph M. Gibbons United Kingdom
Monica Tolazzi Italy
Natasha Rybak United States
Teng Zuo China
Daniel J. DiStefano United States
Qingrui Huang China
Charles D. Murin United States
C. Jane Batten Australia
Caroline Carbonnelle France
Lei Ba relative to Brenda Larkin United States Brenda Larkin's profile →
Citations per field
00.5×9.5×
Brenda Larkin · 1×
Citations per year

Countries citing papers authored by Lei Ba

Since Specialization
Citations

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

Fields of papers citing papers by Lei Ba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2005142
2 2005129
3 2006121
4 2004109
5 200872
6 200271
7 200549
8 200743
9 201038
10 200931
11 200218
12 200712
13 200812
14 20161

About Lei Ba

Lei Ba is a scholar working on Infectious Diseases, Virology, Animal Science and Zoology, Epidemiology and Immunology, having authored 14 papers that have together received 848 indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), SARS-CoV-2 and COVID-19 Research (5 papers), HIV/AIDS drug development and treatment (4 papers), Animal Virus Infections Studies (4 papers), Virology and Viral Diseases (2 papers), HIV/AIDS Research and Interventions (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Virology (406 citations), Infectious Diseases (570 citations), Animal Science and Zoology (110 citations), Hepatology (57 citations) and Immunology (145 citations). Lei Ba has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include David D. Ho, Zhiwei Chen, Linqi Zhang, Christopher E. Yi, Wenjie Yu, He Tian, Fengwen Zhang, Jian Yu, Michael Farzan and Kwok‐Yung Yuen. Their work appears in journals such as Journal of Virology, Virology, JAIDS Journal of Acquired Immune Deficiency Syndromes, Applied Microbiology and Biotechnology and PLoS Medicine.

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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