Jing Bai

8.6k total citations · 2 hit papers
210 papers, 5.2k citations indexed

About

Jing Bai is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jing Bai has authored 210 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Molecular Biology, 51 papers in Cancer Research and 30 papers in Oncology. Recurrent topics in Jing Bai's work include RNA modifications and cancer (25 papers), Cancer-related molecular mechanisms research (24 papers) and RNA Research and Splicing (18 papers). Jing Bai is often cited by papers focused on RNA modifications and cancer (25 papers), Cancer-related molecular mechanisms research (24 papers) and RNA Research and Splicing (18 papers). Jing Bai collaborates with scholars based in China, United States and Canada. Jing Bai's co-authors include Xia Li, Songbin Fu, Yun Xiao, Yan Jin, Jinyuan Xu, Yujia Lan, Tingting Zhao, Yanyan Ping, Chunyu Deng and Yang Yu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Jing Bai

200 papers receiving 5.2k citations

Hit Papers

CellMarker: a manually curated resource of cell markers i... 2018 2026 2020 2023 2018 2022 250 500 750

Peers

Jing Bai
Comparison fields: 5 of 148
  • Molecular Biology 3.1k
  • Cancer Research 1.5k
  • Immunology 808
  • Oncology 719
  • Pulmonary and Respiratory Medicine 542
Replace Daisuke Okuzaki with:
Daisuke Okuzaki Japan
Harsha Gowda India
Ping Chen China
Lingqiang Zhang China
Limin Liu China
Ji‐Fu Wei China
Zhen Chen China
Martine A. Collart Switzerland
Jian Liu China
Surendra Dasari United States
Daisuke Okuzaki Japan View profile →
Citations per field, relative to Jing Bai
Jing Bai · 1×
Citations per year, relative to Jing Bai
Jing Bai · 1×

Countries citing papers authored by Jing Bai

Since Specialization
Citations

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

Fields of papers citing papers by Jing Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Bai. A scholar is included among the top collaborators of Jing Bai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jing Bai. Jing Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 6
4 9
5 0
6 12
7 7
8 3
9 11
10 23
11 60
12 43
13 8
14
[Lung involvement of 3 cases of idiopathic sweet syndrome and literature review].
3
15 80
16 4
17 24
18 88
19 8
20 99

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026