Bin Lan

802 citations
36 papers · 551 · h-index 12

Impact in

Papers in

    • Cell death mechanisms and regulation 3
    • Ubiquitin and proteasome pathways 3
    • Cancer Immunotherapy and Biomarkers 5

Bin Lan

35 papers receiving 548 citations

Peers

Bin Lan
Comparison fields: 5 of 87
  • Cancer Research 181
  • Pulmonary and Respiratory Medicine 176
  • Molecular Biology 250
  • Oncology 97
  • Immunology 75
Replace Jiawei Shou with:
Jiawei Shou China
Ting Gong China
Xiuzhi Duan China
Harika Sabbineni United States
Yu Geng China
Yina Jiang China
Jun Zheng China
Annamaria Salvati Italy
Yuxian Guo China
Zhuo-Wei Hu China
Bin Lan relative to Jiawei Shou China Jiawei Shou's profile →
Citations per field
00.5×1.6×
Jiawei Shou · 1×
Citations per year

Countries citing papers authored by Bin Lan

Since Specialization
Citations

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

Fields of papers citing papers by Bin Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020106
2 201486
3 202056
4 202043
5 202130
6 201528
7 201826
8 201826
9 202124
10 201615
11 201314
12 202212
13 201010
14
Investigation of Leptin and its receptor (LEPR) for single nucleotide polymorphisms in colorectal cancer: a case-control study involving 2,306 subjects.
20209
15 20217
16 20157
17 20177
18 20236
19 20186
20 20176

About Bin Lan

Bin Lan is a scholar working on Molecular Biology, Oncology, Immunology, Pulmonary and Respiratory Medicine and Genetics, having authored 36 papers that have together received 551 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Immunotherapy and Immune Responses (3 papers), Cell death mechanisms and regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Ubiquitin and proteasome pathways (3 papers), Cancer Research and Treatments (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Cancer Research (181 citations), Pulmonary and Respiratory Medicine (176 citations), Molecular Biology (250 citations), Oncology (97 citations) and Immunology (75 citations). Bin Lan has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Shaowu Cheng, Biao Tang, Chao He, Jinwen Ge, Xi‐Long Zheng, Guozuo Wang, Jun Liao, Fang Guo, Xuefeng Wang and Biao Jiang. Their work appears in journals such as Journal of Clinical Oncology, Biochemical and Biophysical Research Communications, Frontiers in Pharmacology, Clinical Cancer Research and JNCI Journal of the National Cancer Institute.

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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