Lin Ma

2.3k citations
63 papers · 1.6k indexed · 1 hit paper · h-index 19

Impact in

  • Oncology top 5%
    • Global Cancer Incidence and Screening
    • Cancer Risks and Factors
    • AI in cancer detection
    • Anomaly Detection Techniques and Applications

Papers in

    • Global Cancer Incidence and Screening 9
    • Cancer Cells and Metastasis 6
    • Cancer Immunotherapy and Biomarkers 5
    • Cancer Risks and Factors 5
    • Breast Cancer Treatment Studies 11

Lin Ma

62 papers receiving 1.5k citations

Hit Papers

GAN-based anomaly detection: A review 2022 · 240 citations
240202220262023202450100150200

Peers

Lin Ma
Comparison fields: 5 of 135
  • Oncology 634
  • Artificial Intelligence 698
  • Pulmonary and Respiratory Medicine 644
  • Cancer Research 261
  • Radiology, Nuclear Medicine and Imaging 268
Replace Nuria Ribelles with:
Nuria Ribelles Spain
Benjamin Wang United States
Christian Weiß Germany
Lin Lü China
Christian Bayer Germany
Bing Liu China
Sergi Ganau Spain
Kim‐Anh Do United States
Κωνσταντίνα Κούρου Greece
Sharon Nofech‐Mozes Canada
Lin Ma relative to Nuria Ribelles Spain Nuria Ribelles's profile →
Citations per field
00.5×
Nuria Ribelles · 1×
Citations per year

Countries citing papers authored by Lin Ma

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Lin Ma Line = papers co-authored together Lin Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20241
3 20241
4 202315
5 20236
6 20225
7 20221
8 20226
9 202113
10 20203
11 201911
12 201916
13 201914
14 201872
15
Quick rehabilitation nursing improves the recovery of colon cancer patients after laparoscopy.
20184
16 201736
17
Improvements in access and care through the Affordable Care Act.
20175
18 201637
19 201527
20 2013141

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.

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2026