Dongmei Lu

1.9k citations
38 papers · 923 indexed · h-index 16

Dongmei Lu

35 papers receiving 901 citations

Peers

Dongmei Lu
Comparison fields: 5 of 113
  • Pharmaceutical Science 102
  • Endocrine and Autonomic Systems 59
  • Research and Theory 7
  • Nephrology 52
  • Pulmonary and Respiratory Medicine 239
Replace Mehmet Orman with:
Mehmet Orman Türkiye
Ashley H. Snyder United States
Stephanie Kim United States
Haruko Mizoguchi United States
M Asif A Siddiqui New Zealand
D Brănişteanu Romania
Dene Simpson New Zealand
Roman Vangoitsenhoven Belgium
Maria Bradley Sweden
Brad A. Yentzer United States
Dongmei Lu relative to Mehmet Orman Türkiye Mehmet Orman's profile →
Citations per field
00.5×1.5×2.0×
Mehmet Orman · 1×
Citations per year

Countries citing papers authored by Dongmei Lu

Since Specialization
Citations

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

Fields of papers citing papers by Dongmei Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20243
3 20243
4 20242
5 20234
6 20239
7 201998
8 20189
9 201816
10 201714
11 201667
12 201477
13 201431
14
Updated Overall Survival Data From a Phase III Study of Sunitinib Vs. Placebo in Patients With Advanced, Unresectable Pancreatic Neuroendocrine Tumour (NET)
20112
15
Phase III, Randomized, Double-blind Trial of Sunitinib Versus Placebo in Patients With Progressive, Well-differentiated Pancreatic Islet Cell Tumours
20097
16 200730
17 2007106
18 200634
19 200678
20 200563

About Dongmei Lu

Dongmei Lu is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Pharmaceutical Science, having authored 38 papers that have together received 923 indexed citations. Recurring topics across this work include Inhalation and Respiratory Drug Delivery (6 papers), Cell death mechanisms and regulation (5 papers), Pneumonia and Respiratory Infections (4 papers), Obstructive Sleep Apnea Research (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Lung Cancer Research Studies (3 papers), Immune responses and vaccinations (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (2 papers). The work is most often cited by research in Pharmaceutical Science (102 citations), Endocrine and Autonomic Systems (59 citations) and Research and Theory (7 citations). Dongmei Lu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Anthony J. Hickey, Alakananda Basu, Jie Huang, Nanfang Li, Xiaoguang Yao, Ning Sun, Qiujie Li, Yuying Fan, Su Hong and Baohua Sun.

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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