Hao Gu

1.4k citations
32 papers · 746 · h-index 14

Impact in

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

Papers in

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

Hao Gu

30 papers receiving 739 citations

Peers

Hao Gu
Comparison fields: 5 of 100
  • Hematology 88
  • Cancer Research 111
  • Biochemistry 33
  • Immunology 107
  • Molecular Biology 295
Replace Xia Guo with:
Xia Guo China
Huihui Ma China
Juliana Carvalho‐Tavares Brazil
Kiflai Bein United States
Vahid Montazeri Iran
Salvador Fuentes-Alexandro Mexico
Matteo Barcella Italy
Li Ren China
Fan Zhao China
Hao Gu relative to Xia Guo China Xia Guo's profile →
Citations per field
00.5×2.8×
Xia Guo · 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 201687
2 201570
3 201663
4 201460
5 201656
6 201847
7 201846
8 201344
9 202133
10 202330
11 201730
12 201626
13 201622
14 201719
15 202213
16 202412
17 201511
18 202211
19 201611
20 201910

About Hao Gu

Hao Gu is a scholar working on Molecular Biology, Hematology, Cancer Research, Immunology and Physiology, having authored 32 papers that have together received 746 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), RNA Research and Splicing (5 papers), Hematopoietic Stem Cell Transplantation (5 papers), MicroRNA in disease regulation (4 papers), Phagocytosis and Immune Regulation (4 papers), Asthma and respiratory diseases (3 papers), Immune Cell Function and Interaction (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Hematology (88 citations), Cancer Research (111 citations), Biochemistry (33 citations), Immunology (107 citations) and Molecular Biology (295 citations). Hao Gu has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Junke Zheng, Mao Huang, Xiaoning Zeng, Jiaxiang Zhang, Ai Ge, Yuan Ma, Chiqi Chen, Zhuo Yu, Tadashi Hisamitsu and Shiyu Guo. Their work appears in journals such as Oncotarget, Life Sciences, Cell Metabolism, Advances in experimental medicine and biology 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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