Yunong Gao

2.8k citations
55 papers · 1.4k indexed · 1 hit paper · h-index 15
Topics
Ovarian cancer diagnosis and treatment (24 papers)PARP inhibition in cancer therapy (12 papers)Endometrial and Cervical Cancer Treatments (12 papers)

In The Last Decade

Yunong Gao

54 papers receiving 1.4k citations

Hit Papers

A pan-cancer single-cell transcriptional atlas of tumor i...20212026202220242021250500750

Peers

Yunong Gao
Comparison fields: 5 of 98
  • Molecular Biology 555
  • Immunology 552
  • Oncology 510
  • Epidemiology 235
  • Surgery 210
Replace Amal Kanbour‐Shakir with:
Amal Kanbour‐Shakir United States
Takashi Miyatake Japan
Miriam Mints Sweden
Katsumi Tsukazaki Japan
Mu‐Hsien Yu Taiwan
Nader Husseinzadeh United States
Ting-Chang Chang Taiwan
Mehran Ghaderi Sweden
Jesse C. Crow United Kingdom
Iona Evans United Kingdom
Yunong Gao relative to Amal Kanbour‐Shakir United States Amal Kanbour‐Shakir's profile →
Citations per field
00.5×10×20×25.6×
Amal Kanbour‐Shakir · 1×
Citations per year

Countries citing papers authored by Yunong Gao

Since Specialization
Citations

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

Fields of papers citing papers by Yunong Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunong Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Yunong Gao. A scholar is included among the top collaborators of Yunong Gao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yunong Gao. Yunong Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 2
3 5
4 17
5 1
6 1
7 22
8
A pan-cancer single-cell transcriptional atlas of tumor infiltrating myeloid cellsbreakdown →
820
9 11
10 9
11 25
12 2
13 1
14 13
15 4
16 16
17 141
18
[Comparison of two different chemotherapy regimens for concurrent chemoradiotherapy in stage Ib2 to IVa squamous cell carcinoma of the uterine cervix].
2
19 37
20
[Impact of neoadjuvant chemotherapy on the survival of patients with stage IIIc and IV epithelial ovarian cancer].
3

About Yunong Gao

Yunong Gao is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Oncology, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (24 papers), PARP inhibition in cancer therapy (12 papers) and Endometrial and Cervical Cancer Treatments (12 papers). The work is most often cited by research in Immunology (552 citations), Reproductive Medicine (200 citations) and Microbiology (145 citations). Yunong Gao has collaborated with scholars based in China, Ethiopia and United Kingdom. Frequent co-authors include Weijiao Gao, Lei Zhang, Xiliang Wang, Bin Zhang, Zhaode Bu, Xianwen Ren, Ziyi Li, Hanqiang Ouyang, Zemin Zhang and Yue Yang. Their work appears in journals such as Cell, Nature Communications and Journal of Clinical Oncology.

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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