Ningning Zhang

1.2k citations
97 papers · 822 indexed · h-index 16
Topics
Hemophilia Treatment and Research (9 papers)Uterine Myomas and Treatments (7 papers)Cancer Immunotherapy and Biomarkers (6 papers)

In The Last Decade

Ningning Zhang

82 papers receiving 812 citations

Peers

Ningning Zhang
Comparison fields: 5 of 101
  • Molecular Biology 305
  • Cardiology and Cardiovascular Medicine 112
  • Surgery 107
  • Oncology 106
  • Epidemiology 98
Replace Mercedes García-Bermúdez with:
Mercedes García-Bermúdez Spain
Zengyan Wang China
Haixia Li China
Jason Harris United States
Pratibha Nallari India
Xian Chen China
Li Zhong China
René Thieme Germany
Jiang Du China
Ningning Zhang relative to Mercedes García-Bermúdez Spain Mercedes García-Bermúdez's profile →
Citations per field
00.5×
Mercedes García-Bermúdez · 1×
Citations per year

Countries citing papers authored by Ningning Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Ningning Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ningning Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Ningning Zhang. A scholar is included among the top collaborators of Ningning Zhang 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 Ningning Zhang. Ningning Zhang 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 0
2 0
3 1
4 21
5 1
6 27
7 43
8 4
9 7
10 2
11
Identification of PDCD1 and PDCD1LG2 as Prognostic Biomarkers and Associated with Immune Infiltration in Hepatocellular Carcinoma
6
12 8
13 1
14 1
15 8
16 5
17 64
18 10
19 15
20 1

About Ningning Zhang

Ningning Zhang is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Hematology, having authored 97 papers that have together received 822 indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (9 papers), Uterine Myomas and Treatments (7 papers) and Cancer Immunotherapy and Biomarkers (6 papers). The work is most often cited by research in Reproductive Medicine (60 citations), Obstetrics and Gynecology (54 citations) and Cancer Research (84 citations). Ningning Zhang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jiangping Song, Mary Lee, Qing Yang, Xiaohong Chen, Ramamani Arumugam, Chi Chen, Peter I. Dosa, Clifford J. Steer, Alexander Khoruts and Carolyn Graiziger. Their work appears in journals such as Circulation, 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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