Hsi‐Feng Tu

2.4k citations
78 papers · 1.9k · h-index 25

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Oral Health Pathology and Treatment

Papers in

    • MicroRNA in disease regulation 18
    • Cancer-related molecular mechanisms research 11
    • Circular RNAs in diseases 6
    • RNA modifications and cancer 6

Hsi‐Feng Tu

74 papers receiving 1.8k citations

Peers

Hsi‐Feng Tu
Comparison fields: 5 of 92
  • Cancer Research 950
  • Periodontics 136
  • Otorhinolaryngology 98
  • Molecular Biology 875
  • Oral Surgery 69
Replace Gordana Šupić with:
Gordana Šupić Serbia
Cláudia Malheiros Coutinho‐Camillo Brazil
Shigehiro Ono Japan
Ilda Patrícia Ribeiro Portugal
Hanjiang Wu China
Steeve Kwan Tat Canada
Pachiappan Arjunan United States
Naoya Arai Japan
Limin Sun China
Hsi‐Feng Tu relative to Gordana Šupić Serbia Gordana Šupić's profile →
Citations per field
00.5×5.1×
Gordana Šupić · 1×
Citations per year

Countries citing papers authored by Hsi‐Feng Tu

Since Specialization
Citations

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

Fields of papers citing papers by Hsi‐Feng Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsi‐Feng Tu. 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 Hsi‐Feng Tu. The network helps show where Hsi‐Feng Tu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010224
2 201196
3 201295
4 201484
5 201569
6 201368
7 201466
8 201454
9 201850
10 201250
11 201250
12 200845
13 201644
14 200743
15 201541
16 202039
17 201738
18 201037
19 200634
20 202132

About Hsi‐Feng Tu

Hsi‐Feng Tu is a scholar working on Cancer Research, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Surgery, having authored 78 papers that have together received 1.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (18 papers), Cancer-related molecular mechanisms research (11 papers), Circular RNAs in diseases (6 papers), RNA modifications and cancer (6 papers), Lung Cancer Treatments and Mutations (5 papers), Cancer-related Molecular Pathways (4 papers), Colorectal Cancer Treatments and Studies (3 papers) and Cancer, Stress, Anesthesia, and Immune Response (3 papers). The work is most often cited by research in Cancer Research (950 citations), Periodontics (136 citations), Otorhinolaryngology (98 citations), Molecular Biology (875 citations) and Oral Surgery (69 citations). Hsi‐Feng Tu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Kuo‐Wei Chang, Chung‐Ji Liu, Shu‐Chun Lin, Shou‐Yen Kao, Cheng‐Chieh Yang, K‐W Chang, S‐C Lin, Cheng‐Hsien Wu, Hui-Wen Cheng and Fei‐Ting Hsu. Their work appears in journals such as Oral Oncology, Journal of Dental Sciences, Journal of Thoracic Oncology, International Journal of Molecular Sciences and Journal of Oral Pathology and 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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