Shih-Feng Tsai

5.8k citations
49 papers · 4.3k indexed · 1 hit paper · h-index 28
    • Antibiotic Resistance in Bacteria 7
    • Genomics and Phylogenetic Studies 5
    • Genomics and Chromatin Dynamics 4
    • Epigenetics and DNA Methylation 4
    • Mitochondrial Function and Pathology 3
    • Ubiquitin and proteasome pathways 3
  • Oncology top 5%
    • HER2/EGFR in Cancer Research 3
    • Aquaculture disease management and microbiota 3

Shih-Feng Tsai

48 papers receiving 4.3k citations

Hit Papers

Erythroid differentiation in chimaeric mice blocked by a ...1.1k19912026200220142505007501000

Peers

Shih-Feng Tsai
Comparison fields: 5 of 132
  • Molecular Medicine 516
  • Endocrinology 299
  • Molecular Biology 2.5k
  • Cancer Research 414
  • Oncology 735
Replace Tatsuya Nakamura with:
Tatsuya Nakamura Japan
Simon J. McGowan United Kingdom
Tomoo Ogi Japan
Yi Xie China
Eitan Shaulian Israel
Richard J. Reece United Kingdom
Yoshikuni Nagamine Switzerland
Lai‐Chu Wu United States
Yong‐Dong Wang United States
Judith A. Lippke United States
Shih-Feng Tsai relative to Tatsuya Nakamura Japan Tatsuya Nakamura's profile →
Citations per field
00.5×1.5×
Tatsuya Nakamura · 1×
Citations per year

Countries citing papers authored by Shih-Feng Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Shih-Feng Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih-Feng Tsai. 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 Shih-Feng Tsai. The network helps show where Shih-Feng Tsai may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20218
3 201734
4 201760
5 20169
6 201531
7 201332
8 201376
9 201315
10 201241
11 201280
12 201210
13 201151
14 20117
15 2009333
16 200670
17 2004267
18 200324
19 199410
20
Erythroid differentiation in chimaeric mice blocked by a targeted mutation in the gene for transcription factor GATA-1breakdown →
19911125

About Shih-Feng Tsai

Shih-Feng Tsai is a scholar working on Molecular Medicine, Aging and Endocrinology, having authored 49 papers that have together received 4.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (7 papers), Genomics and Phylogenetic Studies (5 papers), Genomics and Chromatin Dynamics (4 papers), Epigenetics and DNA Methylation (4 papers), Mitochondrial Function and Pathology (3 papers), Aquaculture disease management and microbiota (3 papers), Ubiquitin and proteasome pathways (3 papers) and HER2/EGFR in Cancer Research (3 papers). The work is most often cited by research in Molecular Medicine (516 citations), Endocrinology (299 citations) and Molecular Biology (2.5k citations). Shih-Feng Tsai has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Larysa Pevny, Stuart H. Orkin, William H. Klein, Frank Costantini, Elizabeth Robertson, Vivette D. D’Agati, Ying-Tsong Chen, Hwan‐You Chang, Ya-Ting Chen and Ting‐Fen Tsai. Their work appears in journals such as Nature, Science and New England Journal of Medicine.

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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