Caiting Chu

500 citations
23 papers · 339 · h-index 11

Impact in

Papers in

Caiting Chu

19 papers receiving 326 citations

Peers

Caiting Chu
Comparison fields: 5 of 38
  • Reproductive Medicine 126
  • Obstetrics and Gynecology 70
  • Radiology, Nuclear Medicine and Imaging 75
  • Orthopedics and Sports Medicine 23
  • Health Informatics 3
Replace Olivera Nikolić with:
Olivera Nikolić Serbia
Priyadarshani R. Bhosale United States
Jan-Hein J. Hensen Netherlands
Ann E. Podrasky United States
Venkatraman Indiran India
Ilana Zeltser United States
Abdelbasset A. Badawy Egypt
Hélio Antônio Guimarães Filho Brazil
N Howden United States
Moshe Manor Israel
Caiting Chu relative to Olivera Nikolić Serbia Olivera Nikolić's profile →
Citations per field
00.5×10×16×
Olivera Nikolić · 1×
Citations per year

Countries citing papers authored by Caiting Chu

Since Specialization
Citations

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

Fields of papers citing papers by Caiting Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201169
2 201251
3 201427
4 202123
5 201421
6 202220
7 201720
8 202018
9 201516
10 201915
11 201615
12 202210
13 20218
14 20188
15 20207
16 20234
17
Clinical application and research of diffusion weighted MR imaging in complex ovarian tumors
20123
18 20241
19
Epithelioid angiomyolipoma of the uterus: a case report and review of literature
20191
20 20231

About Caiting Chu

Caiting Chu is a scholar working on Reproductive Medicine, Epidemiology, Surgery, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology, having authored 23 papers that have together received 339 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (6 papers), Pneumonia and Respiratory Infections (4 papers), Maternal and fetal healthcare (3 papers), Endometrial and Cervical Cancer Treatments (2 papers), Lymphadenopathy Diagnosis and Analysis (2 papers), Bacterial Infections and Vaccines (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Atomic and Subatomic Physics Research (1 paper). The work is most often cited by research in Reproductive Medicine (126 citations), Obstetrics and Gynecology (70 citations), Radiology, Nuclear Medicine and Imaging (75 citations), Orthopedics and Sports Medicine (23 citations) and Health Informatics (3 citations). Caiting Chu has collaborated with scholars based in China and Japan. Frequent co-authors include Wenhua Li, Yanfen Cui, Xiangru Wu, Gang Ren, Ping Zhang, Tingting Wang, Shuhui Zhao, Tingting Wang, Hua Fan and Ming Ding. Their work appears in journals such as World Journal of Surgical Oncology, Abdominal Radiology, Frontiers in Pediatrics, Journal of Computer Assisted Tomography and World Journal of Surgery.

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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