Haoda Chen

401 citations
35 papers · 227 · h-index 9

Impact in

Papers in

    • Pancreatic and Hepatic Oncology Research 24
    • Pancreatitis Pathology and Treatment 14

Haoda Chen

29 papers receiving 226 citations

Peers

Haoda Chen
Comparison fields: 5 of 47
  • Health Informatics 17
  • Oncology 156
  • Radiology, Nuclear Medicine and Imaging 66
  • Pulmonary and Respiratory Medicine 77
  • Surgery 104
Replace Friederike Prinz with:
Friederike Prinz Germany
Julia Arribas United States
Shingo Matsudaira Japan
Rawen Kader United Kingdom
Warren Seow Australia
Min Sun Kyung South Korea
Kaikai Wei China
Denis Danthine Belgium
Zoe Larghi Laureiro Italy
Michael P.M. de Neree tot Babberich Netherlands
Haoda Chen relative to Friederike Prinz Germany Friederike Prinz's profile →
Citations per field
00.5×1.5×1.8×
Friederike Prinz · 1×
Citations per year

Countries citing papers authored by Haoda Chen

Since Specialization
Citations

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

Fields of papers citing papers by Haoda Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201932
2 202328
3 202318
4 202217
5 202217
6 202012
7 202410
8 20229
9 20219
10 20238
11 20257
12 20226
13 20236
14 20215
15 20245
16 20244
17 20234
18 20234
19 20214
20 20244

About Haoda Chen

Haoda Chen is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 35 papers that have together received 227 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (24 papers), Pancreatitis Pathology and Treatment (14 papers), Gallbladder and Bile Duct Disorders (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Neuroendocrine Tumor Research Advances (5 papers), Artificial Intelligence in Healthcare and Education (4 papers), Head and Neck Cancer Studies (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Health Informatics (17 citations), Oncology (156 citations), Radiology, Nuclear Medicine and Imaging (66 citations), Pulmonary and Respiratory Medicine (77 citations) and Surgery (104 citations). Haoda Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Baiyong Shen, Weishen Wang, Xiaxing Deng, Yuanchi Weng, Xiayang Ying, Chenghong Peng, Dongfeng Cheng, Ziyun Shen, Weimin Chai and Yu Jiang. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, International Journal of Surgery, Cancer Medicine, European Radiology and Pancreatology.

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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