Li Gao

1.8k citations
65 papers · 1.4k · h-index 20

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Acute Myeloid Leukemia Research 23
    • Chronic Myeloid Leukemia Treatments 6
    • Hematopoietic Stem Cell Transplantation 5

Li Gao

62 papers receiving 1.4k citations

Peers

Li Gao
Comparison fields: 5 of 96
  • Hematology 275
  • Cancer Research 203
  • Molecular Biology 616
  • Neurology 53
  • Genetics 66
Replace S. Lindemann with:
S. Lindemann Germany
Ilya A. Vinnikov China
Khoa Nguyen United States
Pearl S. Rosenbaum United States
Sara Rollinson United Kingdom
Marco Arese Italy
Jiannong Cen China
Patrick M. Vanderboom United States
Hui Wei China
Ashwini Kumar Finland
Li Gao relative to S. Lindemann Germany S. Lindemann's profile →
Citations per field
00.5×2×2.6×
S. Lindemann · 1×
Citations per year

Countries citing papers authored by Li Gao

Since Specialization
Citations

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

Fields of papers citing papers by Li Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014186
2 2012146
3 201383
4 201573
5 201269
6 201065
7 201255
8 201542
9 201641
10 201040
11 201536
12 201535
13 201335
14 201534
15 201433
16 201231
17 201724
18 201923
19 202122
20 201622

About Li Gao

Li Gao is a scholar working on Hematology, Genetics, Oncology, Molecular Biology and Cancer Research, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (23 papers), Epigenetics and DNA Methylation (7 papers), Chronic Myeloid Leukemia Treatments (6 papers), Histone Deacetylase Inhibitors Research (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Hematopoietic Stem Cell Transplantation (5 papers), Protein Degradation and Inhibitors (3 papers) and Neurological disorders and treatments (3 papers). The work is most often cited by research in Hematology (275 citations), Cancer Research (203 citations), Molecular Biology (616 citations), Neurology (53 citations) and Genetics (66 citations). Li Gao has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Li Yu, Yonghui Li, Lili Wang, Xiaoning Gao, Jihao Zhou, Ji Lin, Junzhong Sun, Bin Wang, Xuelian Wang and Jianwen Wang. Their work appears in journals such as PLoS ONE, Blood, Annals of Hematology, Journal of Clinical Immunology and OncoTargets and Therapy.

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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