En-sen Ma

504 citations
13 papers · 346 · h-index 10

Impact in

Papers in

En-sen Ma

13 papers receiving 335 citations

Peers

En-sen Ma
Comparison fields: 5 of 40
  • Endocrinology, Diabetes and Metabolism 138
  • Surgery 219
  • Neurology 53
  • Radiology, Nuclear Medicine and Imaging 73
  • Cancer Research 40
Replace Yingkun Guo with:
Yingkun Guo China
Peng-Qiu Min China
Mehmet Özgüven Türkiye
Patrick Lawrence Canada
John P. Sweeney United States
Charalambos Zisis Greece
Reiner Neu Germany
Bengül Günalp Türkiye
Maria Letizia Vita Italy
Kambiz Ghafourian United States
En-sen Ma relative to Yingkun Guo China Yingkun Guo's profile →
Citations per field
00.5×1.5×1.8×
Yingkun Guo · 1×
Citations per year

Countries citing papers authored by En-sen Ma

Since Specialization
Citations

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

Fields of papers citing papers by En-sen Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 200789
2 200860
3 200658
4 200633
5 201524
6 200720
7 201319
8 200616
9 201613
10 200710
11
[Clinical application of 64-slice CT in evaluation of vessel before and after coronary artery bypass graft surgery].
20092
12
[Morphological and quantitative evaluation of myocardial bridge and mural coronary artery with 256-slice CT angiography: initial clinical experience].
20121
13
[The solitary pulmonary tuberculous cavity and malignant cavity: comparison on multi-detector row CT].
20081

About En-sen Ma

En-sen Ma is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Genetics, having authored 13 papers that have together received 346 indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (5 papers), Adrenal Hormones and Disorders (3 papers), MRI in cancer diagnosis (2 papers), Kawasaki Disease and Coronary Complications (2 papers), Diagnosis and treatment of tuberculosis (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Coronary Artery Anomalies (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (138 citations), Surgery (219 citations), Neurology (53 citations), Radiology, Nuclear Medicine and Imaging (73 citations) and Cancer Research (40 citations). En-sen Ma has collaborated with scholars based in China and United States. Frequent co-authors include Zhi‐gang Yang, Yingkun Guo, Peng-Qiu Min, Xiaochun Zhang, Yuan Li, Xiaochun Zhang, Qiling Wang, Yuan Li, Jianqun Yu and Wu Wang. Their work appears in journals such as European Journal of Radiology, International Journal of Cardiology, Korean Journal of Radiology, OncoTargets and Therapy and European 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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