Jacqueline N. Chu

663 total citations · 1 hit paper
27 papers, 436 citations indexed

About

Jacqueline N. Chu is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Infectious Diseases. According to data from OpenAlex, Jacqueline N. Chu has authored 27 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 9 papers in Oncology and 5 papers in Infectious Diseases. Recurrent topics in Jacqueline N. Chu's work include Infection Control and Ventilation (5 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Gastric Cancer Management and Outcomes (4 papers). Jacqueline N. Chu is often cited by papers focused on Infection Control and Ventilation (5 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Gastric Cancer Management and Outcomes (4 papers). Jacqueline N. Chu collaborates with scholars based in United States, China and Japan. Jacqueline N. Chu's co-authors include Giovanni Traverso, Chin Hur, Joy Collins, Peter R. Chai, S. A. Graham, S. Maruyama, Yonggang Feng, Kerry L. Reynolds, James D. Byrne and Adam Wentworth and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Jacqueline N. Chu

26 papers receiving 426 citations

Hit Papers

Foundations of gastrointestinal-based drug delivery and f... 2021 2026 2022 2024 2021 50 100 150

Peers

Jacqueline N. Chu
Comparison fields: 5 of 121
  • Molecular Biology 82
  • Oncology 70
  • Biomedical Engineering 69
  • Geophysics 66
  • Pharmaceutical Science 61
Replace Yayoi Kawano with:
Yayoi Kawano Japan
Siyu Liu China
Bing Wu China
Fengqin Zhang China
Amin Mehrabian Iran
Shengli Ma China
P. Patel United Kingdom
Seok‐Hoon Lee South Korea
Priya Jain United States
Yayoi Kawano Japan View profile →
Citations per field, relative to Jacqueline N. Chu
Jacqueline N. Chu · 1×
Citations per year, relative to Jacqueline N. Chu
Jacqueline N. Chu · 1×

Countries citing papers authored by Jacqueline N. Chu

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline N. Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacqueline N. Chu. 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 Jacqueline N. Chu. The network helps show where Jacqueline N. Chu may publish in the future.

Co-authorship network of co-authors of Jacqueline N. Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline N. Chu. A scholar is included among the top collaborators of Jacqueline N. Chu 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 Jacqueline N. Chu. Jacqueline N. Chu 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 9
3 6
4 20
5
Foundations of gastrointestinal-based drug delivery and future developments breakdown →
183
6 11
7 14
8 17
9 1
10 1
11 1
12 26
13 8
14 14
15 1
16 1
17 1
18 17
19 10
20 67

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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