Duc‐Hiep Bach

1.6k citations
21 papers · 1.2k · h-index 16

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Circular RNAs in diseases
    • Extracellular vesicles in disease
    • RNA modifications and cancer

Papers in

    • RNA modifications and cancer 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Pancreatic and Hepatic Oncology Research 3

Duc‐Hiep Bach

21 papers receiving 1.2k citations

Peers

Duc‐Hiep Bach
Comparison fields: 5 of 85
  • Cancer Research 494
  • Molecular Biology 810
  • Oncology 303
  • Toxicology 20
  • Immunology 111
Replace Arishya Sharma with:
Arishya Sharma United States
Pengfei Shi China
Fatih Ceteci Germany
Zdeněk Andrysík United States
Gong‐Kan Feng China
Lavinia Nardinocchi Italy
Yinggui Yang China
Arifumi Iwamaru Japan
Martin G. Dalin Sweden
Yun-Xin Lu China
Duc‐Hiep Bach relative to Arishya Sharma United States Arishya Sharma's profile →
Citations per field
00.5×1.5×2.3×
Arishya Sharma · 1×
Citations per year

Countries citing papers authored by Duc‐Hiep Bach

Since Specialization
Citations

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

Fields of papers citing papers by Duc‐Hiep Bach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Duc‐Hiep Bach. 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 Duc‐Hiep Bach. The network helps show where Duc‐Hiep Bach may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017228
2 2018144
3 2017133
4 2019101
5 201976
6 201875
7 201973
8 201859
9 201748
10 201645
11 201844
12 201532
13 201725
14 202019
15 202217
16 201916
17 202015
18 201811
19 20157
20 20191

About Duc‐Hiep Bach

Duc‐Hiep Bach is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Pathology and Forensic Medicine, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Phagocytosis and Immune Regulation (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Cancer Mechanisms and Therapy (3 papers), Cancer, Lipids, and Metabolism (2 papers), RNA modifications and cancer (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Cancer Research (494 citations), Molecular Biology (810 citations), Oncology (303 citations), Toxicology (20 citations) and Immunology (111 citations). Duc‐Hiep Bach has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Sang Kook Lee, Hyen Joo Park, Ji‐Young Hong, Thi-Thu-Trang Luu, Donghwa Kim, Anil K. Sood, Wei Zhang, Phung Thanh Huong, Yanhua Fan and Nguyen Phuoc Long. Their work appears in journals such as Cancer Research, Cancers, Molecular Therapy — Nucleic Acids, Molecular Therapy — Oncolytics and Organic Letters.

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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