S. Sean Tu

1.4k citations
63 papers · 1.1k indexed · h-index 9

S. Sean Tu

51 papers receiving 1.0k citations

Peers

S. Sean Tu
Comparison fields: 5 of 115
  • Cell Biology 225
  • Molecular Biology 714
  • Oncology 188
  • Immunology 137
  • Immunology and Allergy 36
Replace Michael P. Heldebrant with:
Michael P. Heldebrant United States
Tsukasa Igawa Japan
Timothy Eisen United Kingdom
Kevin J. Wu United States
Pahini Pandya United Kingdom
Hedy Adari United States
Nicole E. Willmarth United States
Stacey J. Adam United States
Kerstin Müller Germany
Véronique Ouellet Canada
S. Sean Tu relative to Michael P. Heldebrant United States Michael P. Heldebrant's profile →
Citations per field
00.5×10×12.8×
Michael P. Heldebrant · 1×
Citations per year

Countries citing papers authored by S. Sean Tu

Since Specialization
Citations

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

Fields of papers citing papers by S. Sean Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Sean Tu. 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 S. Sean Tu. The network helps show where S. Sean Tu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside S. Sean Tu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S. Sean Tu Line = papers co-authored together S. Sean Tu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20250
5 20241
6 20241
7 20245
8 20241
9 20240
10 20237
11 20235
12 20230
13 20237
14 20232
15 20232
16
Invalidated Patents and Associated Patent Examiners
20151
17
Understanding the Backlog Problems Associated with Requests for Continued Examination Practice
20151
18
Patent Examination and Litigation Outcomes
20141
19 20101
20 1999223

About S. Sean Tu

S. Sean Tu is a scholar working on Management of Technology and Innovation, Economics and Econometrics and Reproductive Medicine, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pharmaceutical Economics and Policy (29 papers), Intellectual Property and Patents (23 papers), Health Systems, Economic Evaluations, Quality of Life (13 papers), Biosimilars and Bioanalytical Methods (10 papers), Biomedical Ethics and Regulation (9 papers), Pharmaceutical studies and practices (8 papers), Science, Research, and Medicine (6 papers) and Inhalation and Respiratory Drug Delivery (4 papers). The work is most often cited by research in Cell Biology (225 citations), Molecular Biology (714 citations) and Oncology (188 citations). S. Sean Tu has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Richard A. Cerione, Wen Jin Wu, Douglas R. Green, Helen M. Beere, Ryan Oyer, Gary L. Johnson, Spencer B. Gibson, Steven M. Anderson, Louis-Martin Boucher and Tak W. Mak. Their work appears in journals such as JAMA, Nature Biotechnology, New England Journal of Medicine, Journal of Biological Chemistry and Health Affairs.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026