Ming-Lan Lu

31 papers receiving 1.5k citations

Peers

Ming-Lan Lu
Comparison fields: 5 of 91
  • Pathology and Forensic Medicine 183
  • Surgery 459
  • Oncology 213
  • Cancer Research 92
  • Molecular Biology 376
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Anne R. Simoneau United States
Yukio Koibuchi Japan
Miriam Falzon United States
Beatrice Faraglia Italy
Roy A. Ehrnström Sweden
Hidekazu Koike Japan
ANNA C. GOUSSIA Greece
Bahram Memar Iran
Sadayuki Hiroi Japan
Łukasz Adam Dziki Poland
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Citations per year

Countries citing papers authored by Ming-Lan Lu

Since Specialization
Citations

This map shows the geographic impact of Ming-Lan 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-Lan 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-Lan Lu more than expected).

Fields of papers citing papers by Ming-Lan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002221
2 2001218
3
Molecular profiling of bladder cancer using cDNA microarrays: defining histogenesis and biological phenotypes.
2002167
4
GSTT1 and GSTM1 null genotypes and the risk of gastric cancer: a case-control study in a Chinese population.
2000132
5
Impact of alterations affecting the p53 pathway in bladder cancer on clinical outcome, assessed by conventional and array-based methods.
2002120
6
Uroplakin II gene is expressed in transitional cell carcinoma but not in bilharzial bladder squamous cell carcinoma: alternative pathways of bladder epithelial differentiation and tumor formation.
199880
7
Allium vegetables and stomach cancer risk in China.
200576
8 200072
9 201251
10 200548
11 200145
12 199843
13 201241
14 201039
15 200837
16 201035
17 201330
18 201730
19 200524
20 201419

About Ming-Lan Lu

Ming-Lan Lu is a scholar working on Surgery, Pathology and Forensic Medicine, Cancer Research, Spectroscopy and Genetics, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (6 papers), Glutathione Transferases and Polymorphisms (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Gastric Cancer Management and Outcomes (3 papers), Genetic Associations and Epidemiology (3 papers), Carcinogens and Genotoxicity Assessment (2 papers), Gene expression and cancer classification (2 papers) and Smoking Behavior and Cessation (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (183 citations), Surgery (459 citations), Oncology (213 citations), Cancer Research (92 citations) and Molecular Biology (376 citations). Ming-Lan Lu has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Carlos Cordon‐Cardo, Zuo-Feng Zhang, Elizabeth Charytonowicz, Robert C. Kurtz, Veronica Wendy Setiawan, Qing‐Yi Lu, Chung‐Cheng Hsieh, Shunzhang Yu, Ming‐Rong Wang and Chun Hua Guo. Their work appears in journals such as The Journal of Urology, International Journal of Cancer, Cellular Oncology, BMC Cancer and Carcinogenesis.

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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