Manxia Lin

2k citations
77 papers · 1.6k · h-index 22

Impact in

Papers in

Manxia Lin

76 papers receiving 1.6k citations

Peers

Manxia Lin
Comparison fields: 5 of 62
  • Hepatology 709
  • Radiology, Nuclear Medicine and Imaging 521
  • Health Informatics 50
  • Critical Care and Intensive Care Medicine 46
  • Biotechnology 39
Replace Xiaohua Xie with:
Xiaohua Xie China
Nadine Abi‐Jaoudeh United States
Dong Ik Cha South Korea
Katsutoshi Sugimoto Japan
Xiang Jing China
Ji Hye Min South Korea
Yongyan Gao China
Niklas Verloh Germany
Shane A. Wells United States
Marco Calandri Italy
Manxia Lin relative to Xiaohua Xie China Xiaohua Xie's profile →
Citations per field
00.5×2×4×5.6×
Xiaohua Xie · 1×
Citations per year

Countries citing papers authored by Manxia Lin

Since Specialization
Citations

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

Fields of papers citing papers by Manxia Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009142
2 2020120
3 2009111
4 2020107
5 201674
6 202170
7 201864
8 201146
9 201945
10 201844
11 200840
12 201540
13 201636
14 202236
15 201533
16 200928
17 201828
18 202227
19 200826
20 201725

About Manxia Lin

Manxia Lin is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Biotechnology, Oncology and Surgery, having authored 77 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (44 papers), Ultrasound Imaging and Elastography (17 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Ultrasound and Hyperthermia Applications (4 papers), Microbial Inactivation Methods (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). The work is most often cited by research in Hepatology (709 citations), Radiology, Nuclear Medicine and Imaging (521 citations), Health Informatics (50 citations), Critical Care and Intensive Care Medicine (46 citations) and Biotechnology (39 citations). Manxia Lin has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xiao-yan Xie, Ming‐De Lu, Xiaohua Xie, Zuo‐Feng Xu, Ming Kuang, Ming Kuang, Guangjian Liu, Li‐Da Chen, Guangliang Huang and Zhu Wang. Their work appears in journals such as European Radiology, Ultrasound in Medicine & Biology, International Journal of Hyperthermia, Abdominal Radiology and European Journal of Radiology.

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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