Alfa Bai

1.7k citations
15 papers · 934 · h-index 14

Impact in

Papers in

    • Epigenetics and DNA Methylation 7
    • Cancer-related gene regulation 3
    • Chromatin Remodeling and Cancer 2
    • Peroxisome Proliferator-Activated Receptors 1
    • Colorectal Cancer Screening and Detection 2

Alfa Bai

15 papers receiving 920 citations

Peers

Alfa Bai
Comparison fields: 5 of 72
  • Cancer Research 296
  • Pathology and Forensic Medicine 139
  • Molecular Biology 543
  • Oncology 198
  • Genetics 67
Replace Ka-Kei Ho with:
Ka-Kei Ho United Kingdom
Magdalena Schlotter Germany
Sally E. Trabucco United States
Ji Hshiung Chen Taiwan
Marc Porzner Germany
So Mee Kwon South Korea
F. Alameda Spain
Antonio Díaz‐López Spain
Xiaoyu Jiang United States
Sung Ick South Korea
Alfa Bai relative to Ka-Kei Ho United Kingdom Ka-Kei Ho's profile →
Citations per field
00.5×1.5×1.9×
Ka-Kei Ho · 1×
Citations per year

Countries citing papers authored by Alfa Bai

Since Specialization
Citations

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

Fields of papers citing papers by Alfa Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2016156
2 2012129
3 2005123
4 200487
5 200582
6 200879
7 200470
8 200441
9 200338
10 200737
11 201627
12 200324
13 200624
14 201314
15 20223

About Alfa Bai

Alfa Bai is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Genetics, having authored 15 papers that have together received 934 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Cancer-related gene regulation (3 papers), Chromatin Remodeling and Cancer (2 papers), Genetic factors in colorectal cancer (2 papers), Colorectal Cancer Screening and Detection (2 papers), Cancer-related molecular mechanisms research (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper) and Fetal and Pediatric Neurological Disorders (1 paper). The work is most often cited by research in Cancer Research (296 citations), Pathology and Forensic Medicine (139 citations), Molecular Biology (543 citations), Oncology (198 citations) and Genetics (67 citations). Alfa Bai has collaborated with scholars based in Hong Kong, China and Germany. Frequent co-authors include Joseph J.�Y. Sung, Ka‐Fai To, Wai K. Leung, Michael W.Y. Chan, Francis K.L. Chan, Jun Yu, Ellen P.S. Man, Enders K. Ng, Aric J. Hui and Stefan M. Pfister. Their work appears in journals such as British Journal of Cancer, Acta Neuropathologica, Cancer Letters, The American Journal of Gastroenterology and Hepatology.

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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