Ke Ma

1.2k total citations · 1 hit paper
32 papers, 724 citations indexed

About

Ke Ma is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Oncology. According to data from OpenAlex, Ke Ma has authored 32 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pulmonary and Respiratory Medicine, 12 papers in Surgery and 10 papers in Oncology. Recurrent topics in Ke Ma's work include Lung Cancer Diagnosis and Treatment (8 papers), Lung Cancer Treatments and Mutations (8 papers) and Esophageal Cancer Research and Treatment (5 papers). Ke Ma is often cited by papers focused on Lung Cancer Diagnosis and Treatment (8 papers), Lung Cancer Treatments and Mutations (8 papers) and Esophageal Cancer Research and Treatment (5 papers). Ke Ma collaborates with scholars based in China, Hong Kong and United States. Ke Ma's co-authors include Cheng Zhan, Qun Wang, Xiaodong Yang, Tao Lu, Ming Li, Jiacheng Yin, Mengnan Zhao, Yiwei Huang, Yu Shi and Shuai Wang and has published in prestigious journals such as PLoS ONE, The American Journal of Gastroenterology and British journal of surgery.

In The Last Decade

Ke Ma

27 papers receiving 714 citations

Hit Papers

<p>Trends in the incidence, treatment, and survival... 2019 2026 2021 2023 2019 100 200 300
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.

  1. <p>Trends in the incidence, treatment, and survival of patients with lung cancer in the last four decades</p>
    2019 377 citations Tao Lu, Xiaodong Yang et al. Cancer Management and Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ke Ma China 12 404 313 180 107 96 32 724
Yukimasa Hatachi Japan 17 339 0.8× 270 0.9× 131 0.7× 72 0.7× 72 0.8× 59 767
Young‐Woong Won South Korea 16 272 0.7× 266 0.8× 147 0.8× 66 0.6× 62 0.6× 58 681
Tomoya Shimokata Japan 18 330 0.8× 238 0.8× 134 0.7× 109 1.0× 42 0.4× 57 785
Özgür Özyılkan Türkiye 15 309 0.8× 431 1.4× 76 0.4× 166 1.6× 85 0.9× 115 792
Jen‐Seng Huang Taiwan 16 131 0.3× 276 0.9× 92 0.5× 93 0.9× 78 0.8× 40 632
Benjamin Chuah Singapore 13 274 0.7× 311 1.0× 128 0.7× 103 1.0× 61 0.6× 26 631
Masahiro Iwasaku Japan 16 695 1.7× 782 2.5× 221 1.2× 86 0.8× 161 1.7× 77 1.1k
Nigel Baker United Kingdom 13 173 0.4× 337 1.1× 250 1.4× 89 0.8× 66 0.7× 24 1.2k

Countries citing papers authored by Ke Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ke Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Ma. A scholar is included among the top collaborators of Ke Ma 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 Ke Ma. Ke Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dong, Qi, Yanan Wu, Jingxuan Liu, et al.. (2025). Baricitinib for Takayasu arteritis refractory to TNF-α inhibitors: a multicentre, single-arm trial. Lara D. Veeken. 64(10). 5262–5268.
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Ma, Ke, Qianqian Guo, & Xingya Li. (2023). Efficacy and safety of combined immunotherapy and antiangiogenic therapy for advanced non-small cell lung cancer: a real-world observation study. BMC Pulmonary Medicine. 23(1). 175–175. 7 indexed citations
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Cao, Jun, Qingqing Cai, Wentao Su, et al.. (2021). Case Report: Metagenomic Next-Generation Sequencing Confirmed a Case of Central Nervous System Infection With Brucella melitensis in Non-endemic Areas. Frontiers in Medicine. 8. 723197–723197. 7 indexed citations
9.
Chen, Xiaonan, Hui Zhao, Yanxue Wang, et al.. (2021). Clinical Value of the Lactate/Albumin Ratio and Lactate/Albumin Ratio × Age Score in the Assessment of Prognosis in Patients With Sepsis. Frontiers in Medicine. 8. 732410–732410. 18 indexed citations
10.
Xia, Nan, Wwt Lam, Sungwon Yoon, et al.. (2020). Patterns of Cancer-Related Risk Behaviors Among Construction Workers in Hong Kong: A Latent Class Analysis Approach. Safety and Health at Work. 11(1). 26–32. 3 indexed citations
11.
Lu, Tao, Xiaodong Yang, Yiwei Huang, et al.. (2019). <p>Trends in the incidence, treatment, and survival of patients with lung cancer in the last four decades</p>. Cancer Management and Research. Volume 11. 943–953. 377 indexed citations breakdown →
12.
Yin, Jiacheng, Yong Yang, Ke Ma, et al.. (2018). Clinicopathological characteristics and prognosis of pulmonary pleomorphic carcinoma: a population-based retrospective study using SEER data. Journal of Thoracic Disease. 10(7). 4262–4273. 22 indexed citations
13.
Wu, Lei, Jian Cao, Zhongchen Yang, et al.. (2018). OA07 Clinical Characterization Of ERBB2 Exon 20 Insertions and Heterogeneity of Outcomes to Afatinib in Chinese Lung Cancers. Journal of Thoracic Oncology. 13(12). S1046–S1047.
14.
Ma, Ke, Cheng Zhan, Shuai Wang, et al.. (2018). Spread Through Air Spaces (STAS): A New Pathologic Morphology in Lung Cancer. Clinical Lung Cancer. 20(2). e158–e162. 21 indexed citations
15.
Liu, Zhefeng, Lin Wu, Jun Cao, et al.. (2018). Clinical characterization of <em>ERBB2</em> exon 20 insertions and heterogeneity of outcomes responding to afatinib in Chinese lung cancer patients. OncoTargets and Therapy. Volume 11. 7323–7331. 27 indexed citations
16.
Luo, Jizhuang, Ke Ma, Yu Shi, et al.. (2018). Genetic analyses of differences between solid and nonsolid predominant lung adenocarcinomas. Thoracic Cancer. 9(12). 1656–1663. 3 indexed citations
17.
Sun, Fenghao, Ke Ma, Xiaodong Yang, et al.. (2017). A nomogram to predict prognosis after surgery in early stage non-small cell lung cancer in elderly patients. International Journal of Surgery. 42. 11–16. 40 indexed citations
18.
Wang, Shuai, Ke Ma, Qun Wang, et al.. (2017). The revised staging system for malignant pleural mesothelioma based on surveillance, epidemiology, and end results database. International Journal of Surgery. 48. 92–98. 13 indexed citations
19.
Lam, Wwt, Sungwon Yoon, Na Zhang, et al.. (2016). Workplace Health Promotion: Assessing the Cardiopulmonary Risks of the Construction Workforce in Hong Kong. PLoS ONE. 11(1). e0146286–e0146286. 7 indexed citations
20.
Liu, Shaohua, et al.. (2010). A single dose of carbon monoxide intraperitoneal administration protects rat intestine from injury induced by lipopolysaccharide. Cell Stress and Chaperones. 15(5). 717–727. 50 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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