Chang Shim
- Pulmonary and Respiratory Medicine top 5%
- Physiology top 5%
- Surgery
- Health, Toxicology and Mutagenesis top 10%
- Anesthesiology and Pain Medicine top 5%
- Co-authors
- M. Henry WilliamsMalcolm KingGil Hauer SantosJonathan M. FeldmanAlejandro InterianHoward AndrewsAmit ChopraAgustin Calatroni
- Topics
- Asthma and respiratory diseases (17 papers)Inhalation and Respiratory Drug Delivery (13 papers)Respiratory and Cough-Related Research (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaAnnals of Internal MedicineCHEST Journal
- Partner nations
- United StatesSouth SudanCanada
In The Last Decade
Chang Shim
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 101
- Pulmonary and Respiratory Medicine 822
- Physiology 604
- Surgery 87
- Health, Toxicology and Mutagenesis 87
- Anesthesiology and Pain Medicine 69
Countries citing papers authored by Chang Shim
This map shows the geographic impact of Chang Shim'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 Chang Shim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang Shim more than expected).
Fields of papers citing papers by Chang Shim
This network shows the impact of papers produced by Chang Shim. 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 Chang Shim. The network helps show where Chang Shim may publish in the future.
Co-authorship network of co-authors of Chang Shim
This figure shows the co-authorship network connecting the top 25 collaborators of Chang Shim. A scholar is included among the top collaborators of Chang Shim 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 Chang Shim. Chang Shim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 52 | |
| 3 | 39 | |
| 4 | An Animal Model of Cigarette Smoking in Beagle Dogs | 0 |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 15 | |
| 8 | 12 | |
| 9 | 30 | |
| 10 | 13 | |
| 11 | 14 | |
| 12 | 4 | |
| 13 | 9 | |
| 14 | 19 | |
| 15 | 26 | |
| 16 | 48 | |
| 17 | 11 | |
| 18 | 7 | |
| 19 | 49 | |
| 20 | 63 |
About Chang Shim
Chang Shim is a scholar working on Anesthesiology and Pain Medicine, Pulmonary and Respiratory Medicine and Physiology, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (17 papers), Inhalation and Respiratory Drug Delivery (13 papers) and Respiratory and Cough-Related Research (9 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (822 citations), Physiology (604 citations) and Anesthesiology and Pain Medicine (69 citations). Chang Shim has collaborated with scholars based in United States, South Sudan and Canada. Frequent co-authors include M. Henry Williams, Malcolm King, Gil Hauer Santos, Jonathan M. Feldman, Alejandro Interian, Howard Andrews, Amit Chopra, Agustin Calatroni, Paul M. Lehrer and Meyer Kattan. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and CHEST Journal.
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.