Fenghuan Sun

934 total citations · 1 hit paper
8 papers, 355 citations indexed

About

Fenghuan Sun is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Fenghuan Sun has authored 8 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Pulmonary and Respiratory Medicine and 2 papers in Molecular Biology. Recurrent topics in Fenghuan Sun's work include Cancer Immunotherapy and Biomarkers (5 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Lung Cancer Treatments and Mutations (3 papers). Fenghuan Sun is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Lung Cancer Treatments and Mutations (3 papers). Fenghuan Sun collaborates with scholars based in China, Greece and United States. Fenghuan Sun's co-authors include Gening Jiang, Huansha Yu, Yuming Zhu, Liang Duan, Haoran Xia, Peng Zhang, Liang Wu, Liangdong Sun, Xinsheng Zhu and Dongliang Bian and has published in prestigious journals such as Genome biology, Journal of Thoracic and Cardiovascular Surgery and The Annals of Thoracic Surgery.

In The Last Decade

Fenghuan Sun

6 papers receiving 351 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Tumor microenvironment remodeling after neoadjuvant immunotherapy in non-small cell lung cancer revealed by single-cell RNA sequencing

2023 152 citations Junjie Hu, Lele Zhang et al. Genome Medicine profile →

Peers

Fenghuan Sun

ONCOL

IMMUN

PRM

MB

CR

Haoran Xia China

Sarah Bourass France

Erika Aldeguer Spain

Christoforos Vaxevanis Germany

Marc Lucas Ooft Netherlands

Zhuang Tong China

Henrik Aamodt Norway

Jean‐Nicolas Lodewyckx Belgium

Paul Zolkind United States

Elise Ballot France

Haoran Xia China

Fenghuan Sun

163 ×0.8

ONCOL

105 ×0.7

IMMUN

156 ×1.2

PRM

121 ×1.2

MB

81 ×1.4

CR

Citations per year, relative to Fenghuan Sun Fenghuan Sun (= 1×) peers Haoran Xia

Countries citing papers authored by Fenghuan Sun

Since Specialization

Citations

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

Fields of papers citing papers by Fenghuan Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fenghuan Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Fenghuan Sun. A scholar is included among the top collaborators of Fenghuan Sun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fenghuan Sun. Fenghuan Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Bian, Dongliang, Wentian Zhang, Fenghuan Sun, et al.. (2025). Neoadjuvant camrelizumab plus chemotherapy or apatinib for resectable stage IIA–IIIA NSCLC: a multicenter, two-arm, phase II exploratory trial. BMC Medicine. 23(1). 429–429. 1 indexed citations

2.

Chu, Qiao, Fenghuan Sun, Xinsheng Zhu, et al.. (2025). Longitudinal relationship between posttraumatic growth and distress in lung cancer patients during neoadjuvant immunotherapy. International Journal of Clinical and Health Psychology. 25(1). 100549–100549.

3.

Dai, Jie, et al.. (2024). Pulmonary Function Recovery and Displacement Patterns After Anatomic Segmentectomy vs Lobectomy. The Annals of Thoracic Surgery. 118(2). 365–374. 2 indexed citations

4.

Hu, Junjie, Lele Zhang, Haoran Xia, et al.. (2023). Tumor microenvironment remodeling after neoadjuvant immunotherapy in non-small cell lung cancer revealed by single-cell RNA sequencing. Genome Medicine. 15(1). 14–14. 152 indexed citations breakdown →

5.

Zhang, Peng, Jie Dai, Fenghuan Sun, et al.. (2022). Neoadjuvant Sintilimab and Chemotherapy for Resectable Stage IIIA Non-Small Cell Lung Cancer. The Annals of Thoracic Surgery. 114(3). 949–958. 41 indexed citations

6.

Yang, Jie, Haoran Xia, Fenghuan Sun, Peng Zhang, & Gening Jiang. (2021). Neoadjuvant immunotherapy combined with chemotherapy for local advanced non-small cell lung cancer: a case report. Annals of Translational Medicine. 9(8). 724–724.

7.

Chen, Jian, Fenghuan Sun, Diego González-Rivas, et al.. (2020). Outcomes of sleeve lobectomy versus pneumonectomy: A propensity score-matched study. Journal of Thoracic and Cardiovascular Surgery. 162(6). 1619–1628.e4. 27 indexed citations

8.

Chen, Jian, Yun Tan, Fenghuan Sun, et al.. (2020). Single-cell transcriptome and antigen-immunoglobin analysis reveals the diversity of B cells in non-small cell lung cancer. Genome biology. 21(1). 152–152. 132 indexed citations

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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