Ziding Feng

29.7k total citations · 6 hit papers
294 papers, 18.1k citations indexed

About

Ziding Feng is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Ziding Feng has authored 294 papers receiving a total of 18.1k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Molecular Biology, 78 papers in Pulmonary and Respiratory Medicine and 52 papers in Oncology. Recurrent topics in Ziding Feng's work include Prostate Cancer Treatment and Research (55 papers), Statistical Methods in Clinical Trials (39 papers) and Prostate Cancer Diagnosis and Treatment (37 papers). Ziding Feng is often cited by papers focused on Prostate Cancer Treatment and Research (55 papers), Statistical Methods in Clinical Trials (39 papers) and Prostate Cancer Diagnosis and Treatment (37 papers). Ziding Feng collaborates with scholars based in United States, South Africa and China. Ziding Feng's co-authors include Janet L. Stanford, Margaret S. Pepe, Dale McLerran, Ian M. Thompson, John D. Potter, Lin Li, Frank D. Gilliland, Arnold L. Potosky, Peter C. Albertsen and Robert A. Stephenson and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and Journal of the American Statistical Association.

In The Last Decade

Ziding Feng

283 papers receiving 17.6k citations

Hit Papers

Clinical and Biological Features Associated With Epiderma... 2000 2026 2008 2017 2005 2000 2006 2009 2008 500 1000 1.5k

Peers

Ziding Feng
Comparison fields: 5 of 211
  • Pulmonary and Respiratory Medicine 6.2k
  • Molecular Biology 5.2k
  • Oncology 4.3k
  • Cancer Research 2.7k
  • Surgery 2.1k
Replace Ruth Etzioni with:
Ruth Etzioni United States
David F. Ransohoff United States
Willi Sauerbrei Germany
Howard L. McLeod United States
Yutaka Yasui United States
Ruth M. Pfeiffer United States
Ian M. Thompson United States
Mitchell H. Gail United States
Eric A. Klein United States
Lillian L. Siu Canada
Ruth Etzioni United States View profile →
Citations per field, relative to Ziding Feng
Ziding Feng · 1×
Citations per year, relative to Ziding Feng
Ziding Feng · 1×

Countries citing papers authored by Ziding Feng

Since Specialization
Citations

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

Fields of papers citing papers by Ziding Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziding Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Ziding Feng. A scholar is included among the top collaborators of Ziding Feng 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 Ziding Feng. Ziding Feng 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
# Work Indexed citations
1 0
2 32
3 45
4 57
5 21
6 53
7 42
8 15
9 26
10 30
11 111
12 79
13 118
14 55
15 49
16 307
17 59
18 118
19 21
20 24

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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