Feng Lin

1.6k citations
82 papers · 1.1k · h-index 16

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Polyomavirus and related diseases
    • Inflammatory Biomarkers in Disease Prognosis
    • Lung Cancer Diagnosis and Treatment

Papers in

    • Lung Cancer Diagnosis and Treatment 18
    • Tracheal and airway disorders 8
    • Sarcoma Diagnosis and Treatment 8
    • Medical Imaging and Pathology Studies 4
    • Pleural and Pulmonary Diseases 4

Feng Lin

73 papers receiving 1.1k citations

Peers

Feng Lin
Comparison fields: 5 of 103
  • Oncology 265
  • Pulmonary and Respiratory Medicine 282
  • Immunology 175
  • Rheumatology 60
  • Cancer Research 59
Replace Jade Jaffar with:
Jade Jaffar Australia
Roberta Lucianò Italy
Yosuke Morodomi Japan
Wei Hu China
Ping Lan China
Muna Qayed United States
Wolfgang Hohenforst‐Schmidt Germany
Cheng Chen China
Chao‐Cheng Huang Taiwan
Uroš Potočnik Slovenia
Feng Lin relative to Jade Jaffar Australia Jade Jaffar's profile →
Citations per field
00.5×1.5×1.8×
Jade Jaffar · 1×
Citations per year

Countries citing papers authored by Feng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Feng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016153
2 2017109
3 201864
4 200852
5 200850
6 201948
7 202042
8 200737
9 201535
10 200934
11 201429
12 201628
13 201326
14 202226
15 201425
16 201621
17 201715
18 202014
19 201712
20 201712

About Feng Lin

Feng Lin is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 82 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (18 papers), Tracheal and airway disorders (8 papers), Sarcoma Diagnosis and Treatment (8 papers), Cardiac tumors and thrombi (5 papers), Medical Imaging and Pathology Studies (4 papers), Myasthenia Gravis and Thymoma (4 papers), Pleural and Pulmonary Diseases (4 papers) and Salivary Gland Tumors Diagnosis and Treatment (4 papers). The work is most often cited by research in Oncology (265 citations), Pulmonary and Respiratory Medicine (282 citations), Immunology (175 citations), Rheumatology (60 citations) and Cancer Research (59 citations). Feng Lin has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Chengwu Liu, Lunxu Liu, Qiang Pu, Jiandong Mei, Chenglin Guo, Hu Liao, Lin Ma, Ram I. Mahato, Zaixing Yang and Donghong Liu. Their work appears in journals such as QJM, Annals of Translational Medicine, Translational Lung Cancer Research, European Journal of Cardio-Thoracic Surgery and International Immunopharmacology.

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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