Lin Ma
Impact in
- Oncology top 5%
- Global Cancer Incidence and Screening
- Cancer Risks and Factors
- Artificial Intelligence top 2%
- AI in cancer detection
- Anomaly Detection Techniques and Applications
Papers in
- Oncology 28
- Global Cancer Incidence and Screening 9
- Cancer Cells and Metastasis 6
- Cancer Immunotherapy and Biomarkers 5
- Cancer Risks and Factors 5
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- Breast Cancer Treatment Studies 11
- Co-authors
- Karla KerlikowskeJohn ShepherdCeline M. VachonSteven R. CummingsSerghei MalkovMatthew R. JensenChristopher G. ScottV. Shane Pankratz
- Journals
- Cancer Epidemiology Biomarkers & Prevention (6 papers)Breast Cancer Research and Treatment (5 papers)Breast Cancer Research (4 papers)Cancer Research (3 papers)Clinical Cancer Research (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Lin Ma
62 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Oncology 634
- Artificial Intelligence 698
- Pulmonary and Respiratory Medicine 644
- Cancer Research 261
- Radiology, Nuclear Medicine and Imaging 268
Countries citing papers authored by Lin Ma
This map shows the geographic impact of Lin 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 Lin Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Ma more than expected).
Fields of papers citing papers by Lin Ma
This network shows the impact of papers produced by Lin 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 Lin Ma. The network helps show where Lin Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 15 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 6 | |
| 9 | 2021 | 13 | |
| 10 | 2020 | 3 | |
| 11 | 2019 | 11 | |
| 12 | 2019 | 16 | |
| 13 | 2019 | 14 | |
| 14 | 2018 | 72 | |
| 15 | Quick rehabilitation nursing improves the recovery of colon cancer patients after laparoscopy. | 2018 | 4 |
| 16 | 2017 | 36 | |
| 17 | Improvements in access and care through the Affordable Care Act. | 2017 | 5 |
| 18 | 2016 | 37 | |
| 19 | 2015 | 27 | |
| 20 | 2013 | 141 |
About Lin Ma
Lin Ma is a scholar working on Oncology, Cancer Research, Otorhinolaryngology, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 63 papers that have together received 1.6k indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (18 papers), Breast Cancer Treatment Studies (11 papers), AI in cancer detection (11 papers), Global Cancer Incidence and Screening (9 papers), Cancer Cells and Metastasis (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Cancer Risks and Factors (5 papers) and Effects of Radiation Exposure (4 papers). The work is most often cited by research in Oncology (634 citations), Artificial Intelligence (698 citations), Pulmonary and Respiratory Medicine (644 citations), Cancer Research (261 citations) and Radiology, Nuclear Medicine and Imaging (268 citations). Lin Ma has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Karla Kerlikowske, John Shepherd, Celine M. Vachon, Steven R. Cummings, Serghei Malkov, Matthew R. Jensen, Christopher G. Scott, V. Shane Pankratz, Nan Li and Xuan Xia. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Breast Cancer Research and Treatment, Breast Cancer Research, Cancer Research and Clinical Cancer Research.
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.