Bo Lan

1.4k citations
54 papers · 919 · h-index 14

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • HER2/EGFR in Cancer Research
    • Cancer Treatment and Pharmacology

Papers in

    • HER2/EGFR in Cancer Research 11
    • Cancer Treatment and Pharmacology 9
    • Cancer survivorship and care 7
    • Cancer Immunotherapy and Biomarkers 6
    • Advanced Breast Cancer Therapies 11
    • Cancer-related cognitive impairment studies 6

Bo Lan

48 papers receiving 906 citations

Peers

Bo Lan
Comparison fields: 5 of 87
  • Oncology 619
  • Cancer Research 160
  • Pulmonary and Respiratory Medicine 328
  • Genetics 67
  • Hepatology 47
Replace Gianfranco Filippelli with:
Gianfranco Filippelli Italy
Vincenzo Sforza Italy
Jin‐Hyuk Choi South Korea
Dedong Cao China
Sabrina Vari Italy
Adrian Langleben Canada
Ana Custodio Spain
Karim Rihawi Italy
Izumi Nagatomo Japan
David Páez Spain
Bo Lan relative to Gianfranco Filippelli Italy Gianfranco Filippelli's profile →
Citations per field
00.5×7.0×
Gianfranco Filippelli · 1×
Citations per year

Countries citing papers authored by Bo Lan

Since Specialization
Citations

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

Fields of papers citing papers by Bo Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017167
2 2018149
3 2018122
4 201961
5 201853
6 201952
7 201937
8 201831
9 201827
10 201919
11 202018
12 202018
13 201816
14 201913
15 201710
16 20209
17 20209
18 20228
19 20228
20 20178

About Bo Lan

Bo Lan is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 54 papers that have together received 919 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (11 papers), Advanced Breast Cancer Therapies (11 papers), Cancer Treatment and Pharmacology (9 papers), Cancer survivorship and care (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Cancer Genomics and Diagnostics (6 papers), Cancer-related cognitive impairment studies (6 papers) and Family Support in Illness (5 papers). The work is most often cited by research in Oncology (619 citations), Cancer Research (160 citations), Pulmonary and Respiratory Medicine (328 citations), Genetics (67 citations) and Hepatology (47 citations). Bo Lan has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Binghe Xu, Fei Ma, Hongnan Mo, Xuelian Chen, Jing Huang, Dawei Wu, Qing Yang, Dong Qu, Xingyuan Wang and Yang Luo. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Cancer, The Breast, Clinical Cancer Research and Clinical Breast Cancer.

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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