Shoumei Bai

5.1k citations
28 papers · 2.8k indexed · 1 hit paper · h-index 17
    • Cancer, Hypoxia, and Metabolism 3
    • MicroRNA in disease regulation 3
  • Oncology top 5%
    • Cancer Cells and Metastasis 8
    • Epigenetics and DNA Methylation 5
    • RNA modifications and cancer 3
    • Cancer-related gene regulation 3
  • Hepatology top 5%
    • Liver physiology and pathology 2
    • Ovarian cancer diagnosis and treatment 2

Shoumei Bai

28 papers receiving 2.7k citations

Hit Papers

Essential metabolic, anti-inflammatory, and anti-tumorige...6232012202620162021200400600

Peers

Shoumei Bai
Comparison fields: 5 of 114
  • Cancer Research 1.2k
  • Oncology 798
  • Molecular Biology 1.8k
  • Hepatology 167
  • Reproductive Medicine 164
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

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20245
3 20235
4 202211
5 202032
6 20202
7 202042
8 201651
9 201668
10 20156
11 201313
12 201342
13
Essential metabolic, anti-inflammatory, and anti-tumorigenic functions of miR-122 in liverbreakdown →
2012623
14 2011412
15 2011299
16 2009411
17 200799
18 2006147
19 2004152
20 200365

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), Cancer, Hypoxia, and Metabolism (3 papers), MicroRNA in disease regulation (3 papers), RNA modifications and cancer (3 papers), Cancer-related gene regulation (3 papers), Liver physiology and pathology (2 papers) and Ovarian cancer diagnosis and treatment (2 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 Cancer Research, Journal of Clinical Investigation, Gynecologic Oncology, Journal of Biological Chemistry and Molecular Cancer Therapeutics.

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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