Ning-Ning Lu

720 citations
59 papers · 374 · h-index 10

Impact in

Papers in

    • Colorectal Cancer Surgical Treatments 9
    • Cancer survivorship and care 3
    • Breast Cancer Treatment Studies 12

Ning-Ning Lu

52 papers receiving 371 citations

Peers

Ning-Ning Lu
Comparison fields: 5 of 56
  • Pathology and Forensic Medicine 134
  • Oncology 133
  • Radiation 39
  • Cancer Research 41
  • Otorhinolaryngology 9
Replace Hitomi Suzuki with:
Hitomi Suzuki Japan
Eliana La Rocca Italy
Claire Buchanan United States
T. Jansson Sweden
Christopher A. Peters United States
Carlo Furlan Italy
Marleen J.E.M. Gosens Netherlands
Antonio Stefanelli Italy
Kenneth Deck United States
Johnathan P. Vansant United States
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Citations per field
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Hitomi Suzuki · 1×
Citations per year

Countries citing papers authored by Ning-Ning Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ning-Ning Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201289
2 201631
3 202226
4 201223
5 201615
6 201212
7 202110
8 202310
9 20199
10 20219
11 20229
12 20129
13 20238
14 20218
15 20118
16 20227
17 20166
18 20226
19 20206
20 20235

About Ning-Ning Lu

Ning-Ning Lu is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Surgery, having authored 59 papers that have together received 374 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (12 papers), Lymphoma Diagnosis and Treatment (9 papers), Colorectal Cancer Surgical Treatments (9 papers), Advanced Radiotherapy Techniques (5 papers), Colorectal and Anal Carcinomas (5 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Cancer survivorship and care (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (134 citations), Oncology (133 citations), Radiation (39 citations), Cancer Research (41 citations) and Otorhinolaryngology (9 citations). Ning-Ning Lu has collaborated with scholars based in China and United States. Frequent co-authors include Ye‐Xiong Li, Shulian Wang, Hui Fang, Hua Ren, Weihu Wang, Yong-Wen Song, Runye Wu, Ximei Zhang, Yueping Liu and Qingfeng Liu. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Frontiers in Oncology, Journal of Clinical Oncology, BMC Cancer and Radiation 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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