Liang Jin

4.2k citations
154 papers · 3.0k · h-index 27

Impact in

Papers in

Liang Jin

136 papers receiving 2.9k citations

Peers

Liang Jin
Comparison fields: 5 of 180
  • Hepatology 401
  • Health Informatics 49
  • Radiology, Nuclear Medicine and Imaging 638
  • Artificial Intelligence 512
  • Pulmonary and Respiratory Medicine 505
Replace Shinn‐Ying Ho with:
Shinn‐Ying Ho Taiwan
Wei Lü United States
Yao Wang United States
Yixuan Yuan Hong Kong
James H. Anderson United States
Themis P. Exarchos Greece
Hafiz Malik United States
Mattias Ohlsson Sweden
Ping Chen China
Liang Jin relative to Shinn‐Ying Ho Taiwan Shinn‐Ying Ho's profile →
Citations per field
00.5×5.2×
Shinn‐Ying Ho · 1×
Citations per year

Countries citing papers authored by Liang Jin

Since Specialization
Citations

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

Fields of papers citing papers by Liang Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003407
2 2018161
3 1997141
4 1997138
5 2003118
6
Indole-3-carbinol prevents cervical cancer in human papilloma virus type 16 (HPV16) transgenic mice.
1999116
7 2020113
8 1998106
9 202098
10 199589
11 201988
12
Scatter factor stimulates tumor growth and tumor angiogenesis in human breast cancers in the mammary fat pads of nude mice.
199776
13 199469
14 200660
15 201958
16
Scatter factor binds to thrombospondin and other extracellular matrix components.
199653
17 199453
18 202352
19 199352
20
Detection of cytogenetic effects in peripheral lymphocytes of students exposed to formaldehyde with cytokinesis-blocked micronucleus assay.
199846

About Liang Jin

Liang Jin is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Pulmonary and Respiratory Medicine, Biomedical Engineering and Surgery, having authored 154 papers that have together received 3.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (18 papers), Advanced X-ray and CT Imaging (16 papers), Lung Cancer Diagnosis and Treatment (16 papers), Radiation Dose and Imaging (11 papers), Cardiac Imaging and Diagnostics (9 papers), Advanced Neural Network Applications (8 papers), Angiogenesis and VEGF in Cancer (7 papers) and Liver physiology and pathology (7 papers). The work is most often cited by research in Hepatology (401 citations), Health Informatics (49 citations), Radiology, Nuclear Medicine and Imaging (638 citations), Artificial Intelligence (512 citations) and Pulmonary and Respiratory Medicine (505 citations). Liang Jin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Madan M. Gupta, Noriyasu Homma, Chen Li, Ming Li, Alexander Fuchs, Yingli Sun, E M Rosen, Anne M. Joseph, I D Goldberg and Sharad Mehrotra. Their work appears in journals such as International Journal of Cancer, Seizure, Frontiers in Molecular Neuroscience, Frontiers in Oncology and Journal of X-Ray Science and Technology.

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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