Debby H. Chao

2.3k citations
24 papers · 1.6k indexed · 1 hit paper · h-index 15
Topics
Renal cell carcinoma treatment (18 papers)Bladder and Urothelial Cancer Treatments (11 papers)Renal and related cancers (9 papers)

In The Last Decade

Debby H. Chao

23 papers receiving 1.6k citations

Hit Papers

Risk Group Assessment and Clinical Outcome Algorithm to P...20022026201020182002100200300400500

Peers

Debby H. Chao
Comparison fields: 5 of 65
  • Pulmonary and Respiratory Medicine 1.4k
  • Molecular Biology 990
  • Surgery 514
  • Cancer Research 487
  • Oncology 330
Replace Christopher Tretter with:
Christopher Tretter United States
Enrico Pinto Italy
Meghara Walsh United States
Lisa Pickering United Kingdom
Mashaal Dhir United States
Daiki Masuya Japan
Marianne Sinn Germany
Ronan Flippot France
Philippe Barthélémy France
Luis Paz‐Ares Spain
Debby H. Chao relative to Christopher Tretter United States Christopher Tretter's profile →
Citations per field
00.5×1.5×2.1×
Christopher Tretter · 1×
Citations per year

Countries citing papers authored by Debby H. Chao

Since Specialization
Citations

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

Fields of papers citing papers by Debby H. Chao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debby H. Chao. 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 Debby H. Chao. The network helps show where Debby H. Chao may publish in the future.

Co-authorship network of co-authors of Debby H. Chao

This figure shows the co-authorship network connecting the top 25 collaborators of Debby H. Chao. A scholar is included among the top collaborators of Debby H. Chao 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 Debby H. Chao. Debby H. Chao 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 25
2 128
3 135
4 73
5 193
6 78
7 2
8 82
9 43
10 49
11 89
12 39
13
Risk Group Assessment and Clinical Outcome Algorithm to Predict the Natural History of Patients With Surgically Resected Renal Cell Carcinomabreakdown →
501
14 4
15
Rethinking staging and treatment for renal cell cancer.
0
16 11
17 4
18 107
19 16
20 9

About Debby H. Chao

Debby H. Chao is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Oncology, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (18 papers), Bladder and Urothelial Cancer Treatments (11 papers) and Renal and related cancers (9 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.4k citations), Cancer Research (487 citations) and Molecular Biology (990 citations). Debby H. Chao has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Allan J. Pantuck, Amnon Zisman, Arie S. Belldegrun, Robert A. Figlin, Jonathan Said, Fredrick Dorey, Barbara J. Gitlitz, Jean B. deKernion, Ken‐ryu Han and Stephen J. Freedland. Their work appears in journals such as Journal of Clinical Oncology, Cancer and The Journal of Urology.

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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