Shih-Feng Tsai

5.8k citations
49 papers · 4.3k indexed · 1 hit paper · h-index 28
Topics
Antibiotic Resistance in Bacteria (7 papers)Genomics and Phylogenetic Studies (5 papers)Genomics and Chromatin Dynamics (4 papers)
Partner nations
TaiwanUnited StatesJapan

In The Last Decade

Shih-Feng Tsai

48 papers receiving 4.3k citations

Hit Papers

Erythroid differentiation in chimaeric mice blocked by a ...199120262002201419912505007501000

Peers

Shih-Feng Tsai
Comparison fields: 5 of 132
  • Molecular Biology 2.5k
  • Oncology 735
  • Genetics 676
  • Pulmonary and Respiratory Medicine 635
  • Molecular Medicine 516
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
00.5×4.5×
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 of co-authors of Shih-Feng Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Shih-Feng Tsai. A scholar is included among the top collaborators of Shih-Feng Tsai 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 Shih-Feng Tsai. Shih-Feng Tsai 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 0
2 8
3 34
4 60
5 9
6 31
7 32
8 76
9 15
10 41
11 80
12 10
13 51
14 7
15 333
16 70
17 267
18 24
19 10
20
Erythroid differentiation in chimaeric mice blocked by a targeted mutation in the gene for transcription factor GATA-1breakdown →
1125

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) and Genomics and Chromatin Dynamics (4 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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