Fenglong Bie

797 citations
32 papers · 429 · h-index 13

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies
    • Cancer-related molecular mechanisms research

Papers in

Fenglong Bie

31 papers receiving 425 citations

Peers

Fenglong Bie
Comparison fields: 5 of 72
  • Oncology 211
  • Cancer Research 88
  • Pulmonary and Respiratory Medicine 155
  • Immunology 71
  • Molecular Biology 143
Replace Veronica Placencio-Hickok with:
Veronica Placencio-Hickok United States
Mitsuro Fukuhara Japan
Valentina Tateo Italy
Till Plönes Germany
Rania Chehade Canada
Louqian Zhang China
Eugene A. Choi United States
Chang Hun Lee South Korea
Kate Young United Kingdom
Yuji Hirami Japan
Fenglong Bie relative to Veronica Placencio-Hickok United States Veronica Placencio-Hickok's profile →
Citations per field
00.5×1.5×1.8×
Veronica Placencio-Hickok · 1×
Citations per year

Countries citing papers authored by Fenglong Bie

Since Specialization
Citations

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

Fields of papers citing papers by Fenglong Bie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202250
2 202344
3 202230
4 201930
5 202226
6 201926
7 201823
8 202219
9 201919
10 201918
11 202115
12 202313
13 202313
14 202111
15 201911
16 202111
17 201910
18 20199
19 20229
20 20247

About Fenglong Bie

Fenglong Bie is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Surgery and Cancer Research, having authored 32 papers that have together received 429 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (14 papers), Cancer Immunotherapy and Biomarkers (11 papers), Lung Cancer Diagnosis and Treatment (10 papers), RNA modifications and cancer (6 papers), Ferroptosis and cancer prognosis (4 papers), Esophageal Cancer Research and Treatment (4 papers), Cancer-related molecular mechanisms research (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Oncology (211 citations), Cancer Research (88 citations), Pulmonary and Respiratory Medicine (155 citations), Immunology (71 citations) and Molecular Biology (143 citations). Fenglong Bie has collaborated with scholars based in China and United States. Frequent co-authors include Guangyu Bai, Bolun Zhou, Shugeng Gao, Peng Song, Moyan Zhang, Yue Peng, Ruochuan Zang, Jiajun Du, Xiao Qu and Yadong Wang. Their work appears in journals such as Future Oncology, Scientific Reports, EBioMedicine, Journal of Cancer and Clinical & Translational 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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