Ning An

912 citations
54 papers · 547 · h-index 15

Impact in

Papers in

    • Lung Cancer Research Studies 4
    • Cancer Immunotherapy and Biomarkers 3
    • Parasites and Host Interactions 10

Ning An

50 papers receiving 540 citations

Peers

Ning An
Comparison fields: 5 of 98
  • Parasitology 78
  • Psychiatry and Mental health 94
  • Oncology 84
  • Pediatrics, Perinatology and Child Health 45
  • Immunology 46
Replace B Fülöp with:
B Fülöp Hungary
Christine Wolff Germany
C J Mumford United Kingdom
Richard Barnett United Kingdom
Ans van der Ploeg Netherlands
Yong Wu China
Jodi Wilkowski United States
Manuel Ramos-Kuri Mexico
Xicheng Liu China
Ning An relative to B Fülöp Hungary B Fülöp's profile →
Citations per field
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B Fülöp · 1×
Citations per year

Countries citing papers authored by Ning An

Since Specialization
Citations

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

Fields of papers citing papers by Ning An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200641
2 201836
3 201531
4 201530
5 200124
6 201924
7 201924
8 201823
9 201221
10 201920
11 201518
12 201218
13 201816
14 200215
15 202114
16 202113
17 201913
18 201913
19 202212
20 201611

About Ning An

Ning An is a scholar working on Oncology, Parasitology, Pulmonary and Respiratory Medicine, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 54 papers that have together received 547 indexed citations. Recurring topics across this work include Parasites and Host Interactions (10 papers), Lung Cancer Research Studies (4 papers), Epilepsy research and treatment (4 papers), Lung Cancer Treatments and Mutations (4 papers), Global Health Workforce Issues (3 papers), Global Maternal and Child Health (3 papers), Brain Metastases and Treatment (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Parasitology (78 citations), Psychiatry and Mental health (94 citations), Oncology (84 citations), Pediatrics, Perinatology and Child Health (45 citations) and Immunology (46 citations). Ning An has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hui Zhu, Jinming Yu, Shiyong Liu, Zhi Hou, Meihua Yang, Hui Yang, Haoyi Wang, Weiwei Yan, Jing Wang and Chao Liu. Their work appears in journals such as Parasitology Research, Medicine, Journal of Translational Medicine, International Journal of Radiation Oncology*Biology*Physics 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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