John S. Kim
- Pulmonary and Respiratory Medicine top 10%
- Physiology
- Endocrine and Autonomic Systems
- Molecular Biology
- Neurology
- Co-authors
- Susan RedlineR. Graham BarrAnna J. PodolanczukEric A. HoffmanDavid J. LedererImre NothSteven M. KawutDaniel J. Gottlieb
- Topics
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (23 papers)Chronic Obstructive Pulmonary Disease (COPD) Research (13 papers)Obstructive Sleep Apnea Research (5 papers)
- Journals
- American Journal of Respiratory and Critical Care MedicineCHEST JournalEuropean Respiratory Journal
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
John S. Kim
31 papers receiving 307 citations
Peers
Comparison fields: 5 of 63
- Pulmonary and Respiratory Medicine 205
- Physiology 102
- Endocrine and Autonomic Systems 47
- Molecular Biology 32
- Neurology 27
Countries citing papers authored by John S. Kim
This map shows the geographic impact of John S. Kim'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 John S. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John S. Kim more than expected).
Fields of papers citing papers by John S. Kim
This network shows the impact of papers produced by John S. Kim. 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 John S. Kim. The network helps show where John S. Kim may publish in the future.
Co-authorship network of co-authors of John S. Kim
This figure shows the co-authorship network connecting the top 25 collaborators of John S. Kim. A scholar is included among the top collaborators of John S. Kim 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 John S. Kim. John S. Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | 9 | |
| 8 | 8 | |
| 9 | 11 | |
| 10 | 12 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 18 | |
| 15 | 5 | |
| 16 | 28 | |
| 17 | 15 | |
| 18 | 10 | |
| 19 | 34 | |
| 20 | 14 |
About John S. Kim
John S. Kim is a scholar working on Microbiology, Pulmonary and Respiratory Medicine and Internal Medicine, having authored 35 papers that have together received 310 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (23 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (13 papers) and Obstructive Sleep Apnea Research (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (47 citations), Pulmonary and Respiratory Medicine (205 citations) and Physiology (102 citations). John S. Kim has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Susan Redline, R. Graham Barr, Anna J. Podolanczuk, Eric A. Hoffman, David J. Lederer, Imre Noth, Steven M. Kawut, Daniel J. Gottlieb, Ganesh Raghu and Eric M. Davis. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, CHEST Journal and European Respiratory 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.