Shoumei Bai

5.1k citations
28 papers · 2.8k indexed · 1 hit paper · h-index 17
Topics
Cancer Cells and Metastasis (8 papers)Epigenetics and DNA Methylation (5 papers)Cancer, Hypoxia, and Metabolism (3 papers)

In The Last Decade

Shoumei Bai

28 papers receiving 2.7k citations

Hit Papers

Essential metabolic, anti-inflammatory, and anti-tumorige...20122026201620212012200400600

Peers

Shoumei Bai
Comparison fields: 5 of 114
  • Molecular Biology 1.8k
  • Cancer Research 1.2k
  • Oncology 798
  • Epidemiology 261
  • Immunology 199
Replace Seung-Oe Lim with:
Seung-Oe Lim United States
Naoharu Takano Japan
Pran K. Datta United States
Limin Xia China
Gloria Peiró Spain
Jer-Yen Yang United States
Pascal Colosetti France
Huamei Tang China
Hua Ye China
Catherine Lofton–Day United States
Shoumei Bai relative to Seung-Oe Lim United States Seung-Oe Lim's profile →
Citations per field
00.5×1.6×
Seung-Oe Lim · 1×
Citations per year

Countries citing papers authored by Shoumei Bai

Since Specialization
Citations

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

Fields of papers citing papers by Shoumei Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoumei Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Shoumei Bai. A scholar is included among the top collaborators of Shoumei 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 Shoumei Bai. Shoumei 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
#WorkIndexed citations
1 2
2 5
3 5
4 11
5 32
6 2
7 42
8 51
9 68
10 6
11 13
12 42
13
Essential metabolic, anti-inflammatory, and anti-tumorigenic functions of miR-122 in liverbreakdown →
623
14 412
15 299
16 411
17 99
18 147
19 152
20 65

About Shoumei Bai

Shoumei Bai is a scholar working on Oncology, Cancer Research and Immunology and Allergy, having authored 28 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), Epigenetics and DNA Methylation (5 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Cancer Research (1.2k citations), Oncology (798 citations) and Molecular Biology (1.8k citations). Shoumei Bai has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Kalpana Ghoshal, Ronald J. Buckanovich, Jharna Datta, Samson T. Jacob, Huban Kutay, Bo Wang, Shu‐Hao Hsu, Kun Yang, Karen McLean and Sarmila Majumder. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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