Shan Lu

192 papers receiving 4.1k citations

Shan Lu's Hit Papers

Molecular correlates of clinical response and resistance to atezolizumab in combination with bevacizumab in advanced hepatocellular carcinoma 2022 · 472 citations
4720+1+3Years since publication100200300400

Peers

Shan Lu
Comparison fields: 5 of 99
  • Hepatology 251
  • Endocrinology 92
  • Infectious Diseases 427
  • Parasitology 144
  • Microbiology 13
Replace Jiro Fujita with:
Jiro Fujita Japan
Ulf Panzer Germany
Borna Mehrad United States
Ewert Linder Finland
Kerstin Wolk Germany
Laura Webb Lamps United States
Vivek Charu United States
Ole E. Sørensen Sweden
Carlos V. Payá United States
Erika V. Valore United States
Shan Lu relative to Jiro Fujita Japan Jiro Fujita's profile →
Citations per field
00.5×2×3×4.1×
Jiro Fujita · 1×
Citations per year

Countries citing papers authored by Shan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Shan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 203 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Molecular correlates of clinical response and resistance to atezolizumab in combination with bevacizumab in advanced hepatocellular carcinoma
Hit paper breakdown →
2022472
2
Single-cell dissection of cellular components and interactions shaping the tumor immune phenotypes in ovarian cancer
Hit paper breakdown →
2021286
3 2011259
4 2018174
5 2020159
6 1993116
7 2016114
8
Hemorrhagic fever caused by a novel tick-borne Bunyavirus in Huaiyangshan, China.
2011107
9 201592
10 202079
11 202065
12 201363
13 201463
14 201859
15 200758
16 202353
17 201541
18 201137
19 201937
20 201336

About Shan Lu

Shan Lu is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Pharmacology and Computational Theory and Mathematics, having authored 203 papers that have together received 4.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (23 papers), Gut microbiota and health (7 papers), Computational Drug Discovery Methods (6 papers), Viral Infections and Vectors (5 papers), Microbial Natural Products and Biosynthesis (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Hepatology (251 citations), Endocrinology (92 citations), Infectious Diseases (427 citations), Parasitology (144 citations) and Microbiology (13 citations). Shan Lu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jianguo Xu, Dong Jin, Yulei Wang, Yinghui Guan, H. J. Yang, Ji Pu, Xiaoyi Dai, Hartmut Koeppen, Allen W. Cowley and R. J. Roman. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Frontiers in Microbiology, Journal of Ethnopharmacology, Medicine and Frontiers in 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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