Ming Lu

5.3k citations
143 papers · 3.1k · h-index 29

Impact in

  • Oncology top 2%
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies
    • Pancreatic and Hepatic Oncology Research
  • Surgery top 5%
    • Esophageal Cancer Research and Treatment

Papers in

    • Lung Cancer Research Studies 17
    • Pancreatic and Hepatic Oncology Research 8
    • Cancer Immunotherapy and Biomarkers 7
    • HER2/EGFR in Cancer Research 5
    • Gastric Cancer Management and Outcomes 19
    • Lung Cancer Treatments and Mutations 10

Ming Lu

132 papers receiving 3.1k citations

Peers

Ming Lu
Comparison fields: 5 of 118
  • Oncology 1.1k
  • Surgery 726
  • Pathology and Forensic Medicine 267
  • Cancer Research 221
  • Pulmonary and Respiratory Medicine 451
Replace Izumi Takeyoshi with:
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Harold Frucht United States
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Motohiro Imano Japan
Stan Lightfoot United States
Guido Eibl United States
Aurelia Lugea United States
Masatoshi Kusuhara Japan
Bei Zhang China
Ming Lu relative to Izumi Takeyoshi Japan Izumi Takeyoshi's profile →
Citations per field
00.5×7.3×
Izumi Takeyoshi · 1×
Citations per year

Countries citing papers authored by Ming Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020256
2 1993214
3 2013133
4 2006132
5 1993129
6 201696
7 200694
8 202081
9 201480
10 201474
11 201868
12 201963
13 201862
14 201856
15 202450
16 202048
17 202044
18 201643
19 201642
20 201336

About Ming Lu

Ming Lu is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Epidemiology, Surgery and Molecular Biology, having authored 143 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (20 papers), Gastric Cancer Management and Outcomes (19 papers), Lung Cancer Research Studies (17 papers), Esophageal Cancer Research and Treatment (10 papers), Lung Cancer Treatments and Mutations (10 papers), Pancreatic and Hepatic Oncology Research (8 papers), Cancer Immunotherapy and Biomarkers (7 papers) and HER2/EGFR in Cancer Research (5 papers). The work is most often cited by research in Oncology (1.1k citations), Surgery (726 citations), Pathology and Forensic Medicine (267 citations), Cancer Research (221 citations) and Pulmonary and Respiratory Medicine (451 citations). Ming Lu has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Lin Shen, Jifang Gong, Jun Zhou, Zhihao Lü, Xicheng Wang, Zhi Peng, Jing Gao, Xiaotian Zhang, Jian Li and Alan S. Kopin. Their work appears in journals such as Journal of Clinical Oncology, Cancer Medicine, Annals of Oncology, Neuroendocrinology and BMC Cancer.

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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