Lei Bi

1.3k total citations · 1 hit paper
46 papers, 977 citations indexed

About

Lei Bi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Lei Bi has authored 46 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 9 papers in Pulmonary and Respiratory Medicine and 9 papers in Cancer Research. Recurrent topics in Lei Bi's work include Ferroptosis and cancer prognosis (7 papers), Ginseng Biological Effects and Applications (4 papers) and Cancer-related molecular mechanisms research (4 papers). Lei Bi is often cited by papers focused on Ferroptosis and cancer prognosis (7 papers), Ginseng Biological Effects and Applications (4 papers) and Cancer-related molecular mechanisms research (4 papers). Lei Bi collaborates with scholars based in China, United States and Czechia. Lei Bi's co-authors include Qinlian Jiao, Yidan Ren, Yunshan Wang, Shuliang Song, Qin Wang, Weiping Chen, Yunshan Wang, Chuanxin Wang, Xiaojing Yan and Zequn Jiang and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Hepatology.

In The Last Decade

Lei Bi

40 papers receiving 966 citations

Hit Papers

Advances in studies of tyrosine kinase inhibitors and the... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers

Lei Bi
Comparison fields: 5 of 93
  • Molecular Biology 543
  • Oncology 218
  • Cancer Research 215
  • Pulmonary and Respiratory Medicine 123
  • Immunology 95
Replace Li Lai with:
Li Lai United States
Zhen Guo China
Wei‐En Yang Taiwan
Yancun Yin China
Tsung‐Han Hsieh Taiwan
Kui Sheng Chen China
Pei‐Ming Yang Taiwan
Ki Beom Bae South Korea
Pui–Kei Wu United States
Li Lai United States View profile →
Citations per field, relative to Lei Bi
Lei Bi · 1×
Citations per year, relative to Lei Bi
Lei Bi · 1×

Countries citing papers authored by Lei Bi

Since Specialization
Citations

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

Fields of papers citing papers by Lei Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Bi. A scholar is included among the top collaborators of Lei Bi 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 Lei Bi. Lei Bi 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 2
2 0
3 0
4 0
5 1
6 3
7 3
8 2
9 1
10 17
11 13
12 123
13 22
14 9
15 0
16 6
17 6
18
Advances in studies of tyrosine kinase inhibitors and their acquired resistance breakdown →
294
19 16
20 29

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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