Hao Gu

1.5k citations
32 papers · 781 · h-index 15

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation

Papers in

    • Acute Myeloid Leukemia Research 6
    • Hematopoietic Stem Cell Transplantation 5
    • RNA Research and Splicing 3
    • RNA modifications and cancer 3

Hao Gu

31 papers receiving 774 citations

Peers

Hao Gu
Comparison fields: 5 of 102
  • Hematology 83
  • Cancer Research 97
  • Biochemistry 29
  • Immunology 98
  • Pathology and Forensic Medicine 68
Replace Hyunkeun Song with:
Hyunkeun Song South Korea
Jianxin Gao China
Li Ren China
Shan Gao China
Jerzy Szaflik Poland
Bin Cao China
Salvador Fuentes-Alexandro Mexico
Yuxin Feng China
Juliana Carvalho‐Tavares Brazil
Hao Gu relative to Hyunkeun Song South Korea Hyunkeun Song's profile →
Citations per field
00.5×2.5×
Hyunkeun Song · 1×
Citations per year

Countries citing papers authored by Hao Gu

Since Specialization
Citations

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

Fields of papers citing papers by Hao Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201689
2 201571
3 201665
4 201461
5 201658
6 201849
7 201847
8 201344
9 202135
10 202333
11 201730
12 201627
13 201623
14 201720
15 202415
16 202213
17 201912
18 201512
19 201612
20 202211

About Hao Gu

Hao Gu is a scholar working on Hematology, Molecular Biology, Cancer Research, Immunology and Physiology, having authored 32 papers that have together received 781 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), MicroRNA in disease regulation (4 papers), RNA Research and Splicing (3 papers), Phagocytosis and Immune Regulation (3 papers), RNA modifications and cancer (3 papers), Immune Cell Function and Interaction (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Hematology (83 citations), Cancer Research (97 citations), Biochemistry (29 citations), Immunology (98 citations) and Pathology and Forensic Medicine (68 citations). Hao Gu has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Junke Zheng, Xiaoning Zeng, Yuan Ma, Jiaxiang Zhang, Ai Ge, Chiqi Chen, Mao Huang, Zhuo Yu, Tadashi Hisamitsu and Haibo Wang. Their work appears in journals such as Oncotarget, Life Sciences, Animals, Journal of Hematology & Oncology 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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