Pu Cheng

402 citations
35 papers · 267 · h-index 9

Impact in

Papers in

    • Cancer Immunotherapy and Biomarkers 6
    • Colorectal Cancer Surgical Treatments 6
    • Colorectal Cancer Treatments and Studies 3
    • CAR-T cell therapy research 3
    • Colorectal and Anal Carcinomas 4

Pu Cheng

31 papers receiving 264 citations

Peers

Pu Cheng
Comparison fields: 5 of 59
  • Oncology 114
  • Endocrinology, Diabetes and Metabolism 66
  • Surgery 133
  • Immunology 62
  • Anesthesiology and Pain Medicine 13
Replace Roberto Maria Romano with:
Roberto Maria Romano Italy
Maciej Borejsza‐Wysocki Poland
Kimberly M. Ramonell United States
Niyazi Karaman Türkiye
Eric K. Ganguly United States
L. Novellino Italy
Natasha Brasic United States
Károly Szentpáli Hungary
António Galzerano Portugal
Fabio De Luca Italy
Pu Cheng relative to Roberto Maria Romano Italy Roberto Maria Romano's profile →
Citations per field
00.5×5.5×
Roberto Maria Romano · 1×
Citations per year

Countries citing papers authored by Pu Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Pu Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pu Cheng, 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 Pu Cheng Line = papers co-authored together Pu Cheng 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 202040
2 201334
3 201734
4
Risk factors target in patients with post-thyroidectomy bleeding.
201429
5 202114
6 202112
7 201812
8 201811
9
Ultrasonographic features of Langerhans cell histiocytosis of the thyroid.
201410
10 20228
11 20207
12 20157
13 20176
14 20215
15 20065
16 20234
17 20194
18 20223
19 20203
20 20113

About Pu Cheng

Pu Cheng is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Immunology and Molecular Biology, having authored 35 papers that have together received 267 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Colorectal Cancer Surgical Treatments (6 papers), Gastric Cancer Management and Outcomes (6 papers), Colorectal and Anal Carcinomas (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Metastasis and carcinoma case studies (3 papers), Colorectal Cancer Treatments and Studies (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Oncology (114 citations), Endocrinology, Diabetes and Metabolism (66 citations), Surgery (133 citations), Immunology (62 citations) and Anesthesiology and Pain Medicine (13 citations). Pu Cheng has collaborated with scholars based in China, United States and Cyprus. Frequent co-authors include Guoming Hu, Zhaoxu Zheng, Shimin Wang, Zhaohui Lu, Mingguang Zhang, Xishan Wang, Ruichao Zeng, Endong Chen, Yefeng Cai and Haipeng Chen. Their work appears in journals such as Journal of Investigative Medicine, Scientific Reports, OncoTargets and Therapy, Head & Neck and European Journal of Endocrinology.

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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