Zhiying Pan

1.1k citations
27 papers · 805 indexed · 1 hit paper · h-index 14
Topics
Biosimilars and Bioanalytical Methods (10 papers)Statistical Methods in Clinical Trials (9 papers)Statistical Methods and Bayesian Inference (4 papers)

In The Last Decade

Zhiying Pan

27 papers receiving 767 citations

Hit Papers

Cisplatin and fluorouracil with or without panitumumab in...20132026201720212013100200300

Peers

Zhiying Pan
Comparison fields: 5 of 111
  • Oncology 260
  • Otorhinolaryngology 207
  • Pulmonary and Respiratory Medicine 167
  • Immunology 162
  • Statistics and Probability 119
Replace Máire A. Duggan with:
Máire A. Duggan Canada
Michelle R. Iannacone United States
Jesper Heldrup Sweden
Shama Virani United States
Chantal Babb de Villiers South Africa
Nieves Ascunce Spain
Mererid Evans United Kingdom
Ned Powell United Kingdom
N E Day France
A. C. Green Australia
Zhiying Pan relative to Máire A. Duggan Canada Máire A. Duggan's profile →
Citations per field
00.5×10.8×
Máire A. Duggan · 1×
Citations per year

Countries citing papers authored by Zhiying Pan

Since Specialization
Citations

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

Fields of papers citing papers by Zhiying Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiying Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiying Pan. A scholar is included among the top collaborators of Zhiying Pan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhiying Pan. Zhiying Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 4
3 1
4 13
5 43
6 16
7 2
8 36
9 30
10
Cisplatin and fluorouracil with or without panitumumab in patients with recurrent or metastatic squamous-cell carcinoma of the head and neck (SPECTRUM): an open-label phase 3 randomised trialbreakdown →
314
11 10
12 19
13 24
14 8
15 80
16 9
17 33
18 97
19 18
20 1

About Zhiying Pan

Zhiying Pan is a scholar working on Statistics and Probability, Immunology and Otorhinolaryngology, having authored 27 papers that have together received 805 indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (10 papers), Statistical Methods in Clinical Trials (9 papers) and Statistical Methods and Bayesian Inference (4 papers). The work is most often cited by research in Otorhinolaryngology (207 citations), Statistics and Probability (119 citations) and Microbiology (70 citations). Zhiying Pan has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include D. Y. Lin, Vladimir Hanes, Jan B. Vermorken, Bruce Allen Bach, Eric Winquist, Makoto Tahara, Sylvie Rottey, Cristian Villanueva, Lisa Licitra and Kelly S. Oliner. Their work appears in journals such as Journal of Clinical Oncology, The Lancet Oncology and Clinical Cancer Research.

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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