Li Ma

2.0k citations
99 papers · 1.3k · h-index 22

Impact in

Papers in

    • Lung Cancer Diagnosis and Treatment 17
    • Lung Cancer Treatments and Mutations 10
    • Gastric Cancer Management and Outcomes 5
    • Esophageal Cancer Research and Treatment 12
    • Cholangiocarcinoma and Gallbladder Cancer Studies 5

Li Ma

94 papers receiving 1.3k citations

Peers

Li Ma
Comparison fields: 5 of 122
  • Radiology, Nuclear Medicine and Imaging 420
  • Pulmonary and Respiratory Medicine 517
  • Cancer Research 192
  • Oncology 297
  • Genetics 95
Replace Kazuo Kubota with:
Kazuo Kubota Japan
Mutlay Sayan United States
Takuya Suzuki Japan
Jean‐Baptiste Guy France
Thierry Muanza Canada
Hongqing Zhuang China
Ludwig Plaßwilm Switzerland
Jin‐He Guo China
Cristina Ferrari Italy
Robert W. Mutter United States
Li Ma relative to Kazuo Kubota Japan Kazuo Kubota's profile →
Citations per field
00.5×10×15×18.8×
Kazuo Kubota · 1×
Citations per year

Countries citing papers authored by Li Ma

Since Specialization
Citations

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

Fields of papers citing papers by Li Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011100
2 202357
3 200547
4 201143
5 202143
6 202035
7 201133
8 201633
9 201932
10 200931
11 201330
12 200930
13 201430
14 201229
15 201428
16 200927
17 201824
18 198923
19 202222
20 202121

About Li Ma

Li Ma is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 99 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (17 papers), Esophageal Cancer Research and Treatment (12 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Medical Imaging Techniques and Applications (11 papers), Lung Cancer Treatments and Mutations (10 papers), Lung Cancer Research Studies (6 papers), Gastric Cancer Management and Outcomes (5 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (420 citations), Pulmonary and Respiratory Medicine (517 citations), Cancer Research (192 citations), Oncology (297 citations) and Genetics (95 citations). Li Ma has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jinming Yu, Minghuan Li, Shuqiang Zhao, Baosheng Li, Wei Huang, Tao Zhou, Yong Huang, Heyi Gong, Hongfu Sun and Juan Wang. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, China CDC Weekly, Frontiers in Immunology, OncoTargets and Therapy and International Journal of Radiation Oncology*Biology*Physics.

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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