An Bai

15 papers receiving 272 citations

Peers

An Bai
Comparison fields: 5 of 90
  • Infectious Diseases 86
  • Molecular Medicine 19
  • Immunology 51
  • Epidemiology 80
  • Pollution 23
Replace Magda Rybicka with:
Magda Rybicka Poland
Xiaoran Zhao China
Joshua M. Thiede United States
Xiaoyue Bi China
Ian H. Windham United States
Badr Alzahrani Saudi Arabia
Ranjeet Singh India
Beverly R. E. A. Dixon United States
Ainhoa Lucía Spain
Ganne Venkata Sudhakar Rao India
An Bai relative to Magda Rybicka Poland Magda Rybicka's profile →
Citations per field
00.5×1.5×2.4×
Magda Rybicka · 1×
Citations per year

Countries citing papers authored by An Bai

Since Specialization
Citations

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

Fields of papers citing papers by An Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201669
2 201743
3 201941
4 202032
5 201930
6 201528
7 202211
8
LIVING COCCOLITHOPHORES IN THE WESTERN SOUTH CHINA SEA IN SUMMER 2007
20117
9
LEED,Auger電子分光法およびSTMにより研究したNb(100)の窒素に誘起された構造
20065
10 20163
11
Research situation of atmospheric corrosion of aluminum and aluminum alloys
20012
12
Effect of Total Flavonoids of Rhizoma Drynariae on Experimental Knee Osteoarthritis
20062
13
Comparative Profile of Rubisco-interactingProteins From Arabidopsis: PhotosynthesisUnder Cold Conditions
20111
14 20191
15 20251
16 20250

About An Bai

An Bai is a scholar working on Molecular Biology, Infectious Diseases, Organic Chemistry, Epidemiology and Cancer Research, having authored 16 papers that have together received 276 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (3 papers), Mycobacterium research and diagnosis (3 papers), Quinazolinone synthesis and applications (2 papers), Protease and Inhibitor Mechanisms (2 papers), Pharmacological Effects of Medicinal Plants (1 paper), Signaling Pathways in Disease (1 paper), Galectins and Cancer Biology (1 paper) and Marine and coastal ecosystems (1 paper). The work is most often cited by research in Infectious Diseases (86 citations), Molecular Medicine (19 citations), Immunology (51 citations), Epidemiology (80 citations) and Pollution (23 citations). An Bai has collaborated with scholars based in United States, China and South Africa. Frequent co-authors include Xiyuan Bai, Edward D. Chan, Jennifer R. Honda, Alida R. Ovrutsky, William H. Kinney, Rebecca E. Oberley‐Deegan, Gong Zhang, Michael R. Weaver, Philippa Marrack and Cristian A. Zambrano. Their work appears in journals such as Macromolecules, Physical Review B, Frontiers in Immunology, American Journal of Respiratory Cell and Molecular Biology and BMC Microbiology.

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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