William Tabayoyong

747 total citations
27 papers, 526 citations indexed

About

William Tabayoyong is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, William Tabayoyong has authored 27 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 12 papers in Pulmonary and Respiratory Medicine and 7 papers in Molecular Biology. Recurrent topics in William Tabayoyong's work include Bladder and Urothelial Cancer Treatments (11 papers), Urinary and Genital Oncology Studies (6 papers) and Prostate Cancer Treatment and Research (6 papers). William Tabayoyong is often cited by papers focused on Bladder and Urothelial Cancer Treatments (11 papers), Urinary and Genital Oncology Studies (6 papers) and Prostate Cancer Treatment and Research (6 papers). William Tabayoyong collaborates with scholars based in United States, Taiwan and Italy. William Tabayoyong's co-authors include Robert Abouassaly, Nicholas Zavazava, Ashish M. Kamat, Chung Lee, Luk Van Parijs, Ali Shah, Lee Ponsky, Debra McGivney, Chaitra Badve and Alice Yu and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Immunology and Cancer.

In The Last Decade

William Tabayoyong

25 papers receiving 520 citations

Peers

William Tabayoyong
Comparison fields: 5 of 73
  • Pulmonary and Respiratory Medicine 172
  • Molecular Biology 152
  • Surgery 141
  • Radiology, Nuclear Medicine and Imaging 130
  • Oncology 109
Replace Hao Hu with:
Hao Hu China
Evert J. Van Limbergen Netherlands
Akihisa Yao Japan
Stanislav Lazarev United States
Janice K. Payne United States
Marina Orevi Israel
A. Bamias Greece
Andrew Howard United States
Kenneth Tokita United States
Rosanna Fontanelli Italy
Hao Hu China View profile →
Citations per field, relative to William Tabayoyong
William Tabayoyong · 1×
Citations per year, relative to William Tabayoyong
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Countries citing papers authored by William Tabayoyong

Since Specialization
Citations

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

Fields of papers citing papers by William Tabayoyong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Tabayoyong

This figure shows the co-authorship network connecting the top 25 collaborators of William Tabayoyong. A scholar is included among the top collaborators of William Tabayoyong 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 William Tabayoyong. William Tabayoyong 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 1
2 0
3 3
4 3
5 5
6 6
7 4
8 13
9 9
10 14
11 24
12 18
13 13
14 6
15 1
16 62
17 21
18 12
19 34
20
Suppression of tumor metastasis by blockade of transforming growth factor beta signaling in bone marrow cells through a retroviral-mediated gene therapy in mice.
56

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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