Lingling Bao

622 total citations
34 papers, 374 citations indexed

About

Lingling Bao is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lingling Bao has authored 34 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Lingling Bao's work include Machine Learning in Bioinformatics (5 papers), Ferroptosis and cancer prognosis (5 papers) and Cancer-related molecular mechanisms research (5 papers). Lingling Bao is often cited by papers focused on Machine Learning in Bioinformatics (5 papers), Ferroptosis and cancer prognosis (5 papers) and Cancer-related molecular mechanisms research (5 papers). Lingling Bao collaborates with scholars based in China, India and United States. Lingling Bao's co-authors include Xiaowei Zhao, Ning Qiao, Zhiqiang Ma, Fei He, Dong Xu, Jiagen Li, Rui Wang, Peng Shu, Xiao Chen and Kai Sun and has published in prestigious journals such as The Journal of Immunology, Molecules and BMC Bioinformatics.

In The Last Decade

Lingling Bao

29 papers receiving 361 citations

Peers

Lingling Bao
Comparison fields: 5 of 85
  • Molecular Biology 194
  • Artificial Intelligence 58
  • Cancer Research 56
  • Oncology 42
  • Pulmonary and Respiratory Medicine 39
Replace Huaicheng Sun with:
Huaicheng Sun China
Peiran Jiang China
Yaping Guo China
Zimei Zhang China
Xue Jia China
Gisela Gabernet Switzerland
Nan Deng United States
John J. Y. Lee Canada
César Angeletti United States
Jiangyu Zhang China
Huaicheng Sun China View profile →
Citations per field, relative to Lingling Bao
Lingling Bao · 1×
Citations per year, relative to Lingling Bao
Lingling Bao · 1×

Countries citing papers authored by Lingling Bao

Since Specialization
Citations

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

Fields of papers citing papers by Lingling Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingling Bao

This figure shows the co-authorship network connecting the top 25 collaborators of Lingling Bao. A scholar is included among the top collaborators of Lingling Bao 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 Lingling Bao. Lingling Bao 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 1
4 0
5 0
6 5
7 5
8 25
9 8
10 3
11 1
12 25
13 11
14 9
15 18
16 17
17 5
18 11
19 33
20 38

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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2026