Na Bai

1.7k citations
64 papers · 1.5k · h-index 21

Impact in

Papers in

    • Nematode management and characterization studies 25
    • Plant-Microbe Interactions and Immunity 8
    • Fungal and yeast genetics research 14
    • Studies on Chitinases and Chitosanases 5

Na Bai

61 papers receiving 1.4k citations

Peers

Na Bai
Comparison fields: 5 of 107
  • Radiology, Nuclear Medicine and Imaging 540
  • Orthodontics 73
  • Insect Science 185
  • Aging 22
  • Plant Science 473
Replace Deepak Saxena with:
Deepak Saxena United States
Christopher Lindsay United Kingdom
Morgane J. J. Moreau Australia
Osnat Feuerstein Israel
Isabel Renata de Souza Arruda Brazil
Sophie Moreau France
Daniela S. Masson‐Meyers United States
Vincenza De Gregorio Italy
Chunquan Zhang China
G. Formisano Italy
Na Bai relative to Deepak Saxena United States Deepak Saxena's profile →
Citations per field
00.5×10×15×20×22.5×
Deepak Saxena · 1×
Citations per year

Countries citing papers authored by Na Bai

Since Specialization
Citations

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

Fields of papers citing papers by Na Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009218
2 2011124
3 201196
4 201082
5 201073
6 202238
7 202137
8 202137
9 202135
10 201335
11 202035
12 202235
13 202032
14 202132
15 202032
16 201930
17 202228
18 201026
19 201826
20 202225

About Na Bai

Na Bai is a scholar working on Plant Science, Molecular Biology, Insect Science, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nematode management and characterization studies (25 papers), Fungal and yeast genetics research (14 papers), Entomopathogenic Microorganisms in Pest Control (11 papers), Plant-Microbe Interactions and Immunity (8 papers), Plasma Applications and Diagnostics (8 papers), Bone Tissue Engineering Materials (6 papers), Dental Implant Techniques and Outcomes (5 papers) and Studies on Chitinases and Chitosanases (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (540 citations), Orthodontics (73 citations), Insect Science (185 citations), Aging (22 citations) and Plant Science (473 citations). Na Bai has collaborated with scholars based in China, United States and India. Frequent co-authors include Jue Zhang, Peng Sun, Jinkui Yang, Weidong Zhu, Ke‐Qin Zhang, Haixia Zhou, Meihua Xie, Haiyan Wu, Jing Fang and Ye Tian. Their work appears in journals such as Frontiers in Microbiology, Plasma Processes and Polymers, Microbiology Spectrum, Journal of Fungi and IEEE Transactions on Plasma Science.

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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