Shaolei Lu

2.3k citations
81 papers · 1.4k · h-index 22

Impact in

Papers in

    • Cancer Immunotherapy and Biomarkers 7
    • Cancer Cells and Metastasis 6
    • Lung Cancer Research Studies 5
    • Cancer Diagnosis and Treatment 5
    • Epigenetics and DNA Methylation 8

Shaolei Lu

72 papers receiving 1.4k citations

Peers

Shaolei Lu
Comparison fields: 5 of 110
  • Cancer Research 274
  • Oncology 474
  • Immunology and Allergy 104
  • Health Informatics 21
  • Molecular Biology 582
Replace Paul Cheng with:
Paul Cheng United States
Stefan Steurer Germany
Friedrich Feuerhake Germany
Wenbin Xiao United States
Wen‐Chiuan Tsai Taiwan
Bing Liao China
Francesco Pantano Italy
Evgeny Izumchenko United States
Jin Ding China
Paolo Esposto Pirani Italy
Shaolei Lu relative to Paul Cheng United States Paul Cheng's profile →
Citations per field
00.5×1.7×
Paul Cheng · 1×
Citations per year

Countries citing papers authored by Shaolei Lu

Since Specialization
Citations

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

Fields of papers citing papers by Shaolei Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200895
2 200989
3 201179
4 201279
5 202174
6 200968
7 201662
8 202053
9 201248
10 201346
11 202145
12 200838
13 201337
14 202035
15 200533
16 202030
17 202229
18 202026
19 201925
20 201224

About Shaolei Lu

Shaolei Lu is a scholar working on Oncology, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Epidemiology, having authored 81 papers that have together received 1.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), Cancer Immunotherapy and Biomarkers (7 papers), Cancer Cells and Metastasis (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Neuroendocrine Tumor Research Advances (6 papers), Genetic factors in colorectal cancer (5 papers), Lung Cancer Research Studies (5 papers) and Cancer Diagnosis and Treatment (5 papers). The work is most often cited by research in Cancer Research (274 citations), Oncology (474 citations), Immunology and Allergy (104 citations), Health Informatics (21 citations) and Molecular Biology (582 citations). Shaolei Lu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Murray B. Resnick, Arthur M. Mercurio, Ashraf Khan, Shamlal Mangray, Evgeny Yakirevich, Karl Simin, Kara A. Lombardo, Lelia Noble, Dongfang Yang and Alexander S. Brodsky. Their work appears in journals such as Human Pathology, Modern Pathology, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Cancer Research and The American Journal of Surgical Pathology.

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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