Putao Cen

1.0k citations
38 papers · 759 · h-index 15

Impact in

  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis
    • Cancer Genomics and Diagnostics

Papers in

    • Pancreatic and Hepatic Oncology Research 15
    • Esophageal Cancer Research and Treatment 6
    • Pancreatitis Pathology and Treatment 5
    • Esophageal and GI Pathology 4

Putao Cen

36 papers receiving 749 citations

Peers

Putao Cen
Comparison fields: 5 of 78
  • Oncology 360
  • Cancer Research 149
  • Pulmonary and Respiratory Medicine 251
  • Surgery 272
  • Gastroenterology 33
Replace Hye Won Chung with:
Hye Won Chung South Korea
M Ikeguchi Japan
Weiguo Zhu China
Minaxi Jhawer United States
Raffaele Armentano Italy
Charles T. Miller United States
Xueshuai Wan China
Inger Marie Bowitz Lothe Norway
Katsuyuki Kunieda Japan
Putao Cen relative to Hye Won Chung South Korea Hye Won Chung's profile →
Citations per field
00.5×4.5×
Hye Won Chung · 1×
Citations per year

Countries citing papers authored by Putao Cen

Since Specialization
Citations

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

Fields of papers citing papers by Putao Cen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201489
2 201376
3 201972
4 201161
5 200855
6 201253
7 201351
8 201350
9 201138
10 202234
11 202234
12 201121
13 201418
14 200915
15 200714
16 200812
17 20118
18 20078
19 20107
20 20196

About Putao Cen

Putao Cen is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Molecular Biology and Epidemiology, having authored 38 papers that have together received 759 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (15 papers), Gastric Cancer Management and Outcomes (9 papers), Esophageal Cancer Research and Treatment (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Pancreatitis Pathology and Treatment (5 papers), Neuroendocrine Tumor Research Advances (5 papers), Renal cell carcinoma treatment (4 papers) and Esophageal and GI Pathology (4 papers). The work is most often cited by research in Oncology (360 citations), Cancer Research (149 citations), Pulmonary and Respiratory Medicine (251 citations), Surgery (272 citations) and Gastroenterology (33 citations). Putao Cen has collaborated with scholars based in United States, China and Canada. Frequent co-authors include David Y. Graham, Julie Rowe, Akiko Shiotani, Jingxuan Yang, Yuan Li, Byung Ik Jang, Jaffer A. Ajani, Xianglin L. Du, Xianjun Yu and Xiaoling Ni. Their work appears in journals such as Gastrointestinal Endoscopy, Journal of Clinical Oncology, Cancer, Current Molecular Medicine and Scientific Reports.

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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