Bin Lan

1.4k citations
34 papers · 1.1k · 1 hit paper · h-index 12

Impact in

    • MicroRNA in disease regulation
  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis

Papers in

Bin Lan

34 papers receiving 1.0k citations

Bin Lan's Hit Papers

Chemoresistance in Pancreatic Cancer 2019 · 473 citations
4730+2+4Years since publication100200300400

Peers

Bin Lan
Comparison fields: 5 of 104
  • Cancer Research 199
  • Oncology 300
  • Molecular Biology 400
  • Computer Vision and Pattern Recognition 98
  • Biomedical Engineering 180
Replace Zhanjie Zhang with:
Zhanjie Zhang China
Kuansong Wang China
Yuehua Li China
Qing Lv China
Fredrik Erlandsson Sweden
Xiaodong Gu China
Zhixian Liu China
Mingming Xiao China
Bin Lan relative to Zhanjie Zhang China Zhanjie Zhang's profile →
Citations per field
00.5×7.4×
Zhanjie Zhang · 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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Chemoresistance in Pancreatic Cancer
Hit paper breakdown →
2019473
2 201583
3 201979
4 201872
5 202363
6 202249
7 201937
8 201629
9 201724
10 200417
11 202213
12 202212
13 200611
14 202310
15 202010
16 201410
17 20259
18 20238
19 20207
20 20196

About Bin Lan

Bin Lan is a scholar working on Biomedical Engineering, Molecular Biology, Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Luminescence Properties of Advanced Materials (3 papers), Robotic Path Planning Algorithms (3 papers), Photodynamic Therapy Research Studies (2 papers), Image and Object Detection Techniques (2 papers), Advanced Surface Polishing Techniques (2 papers), Soft Robotics and Applications (2 papers) and Vitamin D Research Studies (2 papers). The work is most often cited by research in Cancer Research (199 citations), Oncology (300 citations), Molecular Biology (400 citations), Computer Vision and Pattern Recognition (98 citations) and Biomedical Engineering (180 citations). Bin Lan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Robert Grützmann, Christian Pilarsky, Siyuan Zeng, Hai Yang, Marina Pöttler, Xueqian Wang, Zihong Lu, Wenli Zhang, Hongbing Lu and Peng Gao. Their work appears in journals such as International Journal of Molecular Sciences, Japanese Journal of Applied Physics, Frontiers in bioscience, Medical Physics and Bioconjugate Chemistry.

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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