Feng Tao

1.8k citations
36 papers · 1.3k indexed · 1 hit paper · h-index 17
Topics
Pancreatic function and diabetes (7 papers)Diabetes Management and Research (5 papers)Diabetes and associated disorders (4 papers)

In The Last Decade

Feng Tao

35 papers receiving 1.3k citations

Hit Papers

Validation of a Prediction Tool for Chemotherapy Toxicity...20162026201920222016100200300400

Peers

Feng Tao
Comparison fields: 5 of 100
  • Oncology 415
  • Molecular Biology 397
  • Geriatrics and Gerontology 329
  • Surgery 304
  • Cancer Research 248
Replace Giampaolo Ugolini with:
Giampaolo Ugolini Italy
Olumide B. Gbolahan United States
Jennifer Scalici United States
Alessio Cortellini Italy
Isacco Montroni Italy
Geert‐Jan Creemers Netherlands
Judith de Vos‐Geelen Netherlands
Kun‐Ming Rau Taiwan
Paul McCormick Ireland
Timothy R. Asmis Canada
Feng Tao relative to Giampaolo Ugolini Italy Giampaolo Ugolini's profile →
Citations per field
00.5×2.8×
Giampaolo Ugolini · 1×
Citations per year

Countries citing papers authored by Feng Tao

Since Specialization
Citations

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

Fields of papers citing papers by Feng Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Tao. A scholar is included among the top collaborators of Feng Tao 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 Feng Tao. Feng Tao 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 1
2 0
3 1
4 8
5 6
6 9
7 6
8 63
9
Validation of a Prediction Tool for Chemotherapy Toxicity in Older Adults With Cancerbreakdown →
402
10 15
11 18
12 42
13 17
14 7
15 11
16 50
17 22
18 13
19 9
20 19

About Feng Tao

Feng Tao is a scholar working on Geriatrics and Gerontology, Applied Microbiology and Biotechnology and Surgery, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Diabetes Management and Research (5 papers) and Diabetes and associated disorders (4 papers). The work is most often cited by research in Geriatrics and Gerontology (329 citations), Cancer Research (248 citations) and Oncology (415 citations). Feng Tao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Arti Hurria, Vani Katheria, David Smith, Supriya G. Mohile, Ajeet Gajra, William P. Tew, Heidi D. Klepin, Laura Zavala, Chie Akiba and Andrew E. Chapman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Cancer.

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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