Fenglan Pang

507 citations
9 papers · 232 · h-index 7

Impact in

  • Biophysics top 10%
    • Cell Image Analysis Techniques
    • Single-cell and spatial transcriptomics
    • Gene expression and cancer classification
    • Molecular Biology Techniques and Applications
    • Bioinformatics and Genomic Networks
    • RNA Research and Splicing
    • RNA modifications and cancer

Papers in

    • Single-cell and spatial transcriptomics 5
    • Advanced biosensing and bioanalysis techniques 2
    • RNA and protein synthesis mechanisms 1
    • Immune cells in cancer 4

Fenglan Pang

9 papers receiving 231 citations

Peers

Fenglan Pang
Comparison fields: 5 of 45
  • Biophysics 34
  • Molecular Biology 204
  • Cancer Research 35
  • Immunology 41
  • Infectious Diseases 19
Replace Lixing Xiao with:
Lixing Xiao China
Matthew Amodio United States
Zoë Steier United States
Andreas R. Gschwind United States
Chunshen Long China
Jay S. Stanley United States
Pierre Machart Germany
Ciyue Shen United States
Mattias Rydenfelt Germany
Junchen Yang China
Fenglan Pang relative to Lixing Xiao China Lixing Xiao's profile →
Citations per field
00.5×1.5×1.9×
Lixing Xiao · 1×
Citations per year

Countries citing papers authored by Fenglan Pang

Since Specialization
Citations

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

Fields of papers citing papers by Fenglan Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2022124
2 202135
3 202422
4 202318
5 202117
6 20227
7 20246
8 20242
9 20251

About Fenglan Pang

Fenglan Pang is a scholar working on Molecular Biology, Immunology, Cancer Research, Infectious Diseases and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 232 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Immune cells in cancer (4 papers), Advanced biosensing and bioanalysis techniques (2 papers), Cancer Genomics and Diagnostics (1 paper), Cell Image Analysis Techniques (1 paper), Multimodal Machine Learning Applications (1 paper), RNA and protein synthesis mechanisms (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Biophysics (34 citations), Molecular Biology (204 citations), Cancer Research (35 citations), Immunology (41 citations) and Infectious Diseases (19 citations). Fenglan Pang has collaborated with scholars based in China and Russia. Frequent co-authors include Zhaochun Xu, Meng Luo, Xiyun Jin, Chang Xu, Pingping Wang, Qinghua Jiang, Rui Cheng, Yideng Cai, Xiaoyu Lin and Lixing Xiao. Their work appears in journals such as Briefings in Bioinformatics, Genome biology, Oncogene, Nucleic Acids Research and Nature Communications.

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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