Donglan Luo

799 citations
38 papers · 473 · h-index 11

Impact in

Papers in

Donglan Luo

38 papers receiving 466 citations

Peers

Donglan Luo
Comparison fields: 5 of 77
  • Pathology and Forensic Medicine 143
  • Cancer Research 107
  • Oncology 174
  • Genetics 60
  • Pulmonary and Respiratory Medicine 101
Replace Barbara Burroni with:
Barbara Burroni France
D. Violot France
Hongmei Yi China
Bariş Boyraz United States
Elise Gradhand Germany
Sang‐Woo Juhng South Korea
Giovanni Crisafulli Italy
Meihai Deng China
Atsuro Sugita Japan
Kun Ru China
Donglan Luo relative to Barbara Burroni France Barbara Burroni's profile →
Citations per field
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Citations per year

Countries citing papers authored by Donglan Luo

Since Specialization
Citations

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

Fields of papers citing papers by Donglan Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201597
2 201465
3 201443
4 201430
5 201726
6 201725
7 201920
8 200819
9 200918
10 201718
11
[Inhibitory effect of refined Amorphophallus konjac on MNNG-induced lung cancers in mice].
199211
12
[Association of HER2 protein expression with clinicopathologic features and prognosis in Chinese patients with gastric carcinoma].
201110
13 202210
14
Intravascular NK/T-cell lymphoma: a series of four cases.
20179
15 20168
16 20107
17 20187
18 20197
19 20114
20
[Analysis of diagnosis accuracy of frozen sections in 73 cases of borderline tumor of ovary].
20094

About Donglan Luo

Donglan Luo is a scholar working on Pathology and Forensic Medicine, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 38 papers that have together received 473 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (17 papers), Viral-associated cancers and disorders (5 papers), CNS Lymphoma Diagnosis and Treatment (4 papers), Lung Cancer Treatments and Mutations (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), HER2/EGFR in Cancer Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (143 citations), Cancer Research (107 citations), Oncology (174 citations), Genetics (60 citations) and Pulmonary and Respiratory Medicine (101 citations). Donglan Luo has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xin-lan Luo, Yan‐Hui Liu, Li‐Xu Yan, Fangping Xu, Jie Xu, Fen Zhang, Xiaolan Zhu, Ping Mei, Chao Liu and Lei‐Bo Xu. Their work appears in journals such as Clinical Cancer Research, Histopathology, Diagnostic Pathology, Human Pathology and Cancer Medicine.

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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