H. Lester Kirchner
- Physiology top 0.5%
- Endocrine and Autonomic Systems top 0.2%
- Pulmonary and Respiratory Medicine top 1%
- Pediatrics, Perinatology and Child Health top 0.5%
- Experimental and Cognitive Psychology top 0.5%
- Co-authors
- Susan RedlineCarol L. RosenDaniel J. GottliebAmy Storfer‐IsserNathan L. JohnsonReena MehraDennis DrotarJames E. Hartle
- Topics
- Neuroscience of respiration and sleep (20 papers)Tuberculosis Research and Epidemiology (19 papers)Obstructive Sleep Apnea Research (18 papers)
- Partner nations
- United StatesGermanySouth Africa
In The Last Decade
H. Lester Kirchner
229 papers receiving 10.2k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Physiology 2.8k
- Endocrine and Autonomic Systems 2.1k
- Pulmonary and Respiratory Medicine 2.0k
- Pediatrics, Perinatology and Child Health 1.4k
- Experimental and Cognitive Psychology 1.3k
Countries citing papers authored by H. Lester Kirchner
This map shows the geographic impact of H. Lester Kirchner'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 H. Lester Kirchner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Lester Kirchner more than expected).
Fields of papers citing papers by H. Lester Kirchner
This network shows the impact of papers produced by H. Lester Kirchner. 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 H. Lester Kirchner. The network helps show where H. Lester Kirchner may publish in the future.
Co-authorship network of co-authors of H. Lester Kirchner
This figure shows the co-authorship network connecting the top 25 collaborators of H. Lester Kirchner. A scholar is included among the top collaborators of H. Lester Kirchner 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 H. Lester Kirchner. H. Lester Kirchner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 15 | |
| 11 | 22 | |
| 12 | 2 | |
| 13 | 16 | |
| 14 | 2 | |
| 15 | 11 | |
| 16 | Abstract 14425: Deep Neural Networks Can Predict 1-Year Mortality Directly From ECG Signal, Even When Clinically Interpreted as Normal | 2 |
| 17 | 17 | |
| 18 | 98 | |
| 19 | 129 | |
| 20 | 122 |
About H. Lester Kirchner
H. Lester Kirchner is a scholar working on Endocrine and Autonomic Systems, Nephrology and Geriatrics and Gerontology, having authored 237 papers that have together received 10.6k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (20 papers), Tuberculosis Research and Epidemiology (19 papers) and Obstructive Sleep Apnea Research (18 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.1k citations), Physiology (2.8k citations) and Experimental and Cognitive Psychology (1.3k citations). H. Lester Kirchner has collaborated with scholars based in United States, Germany and South Africa. Frequent co-authors include Susan Redline, Carol L. Rosen, Daniel J. Gottlieb, Amy Storfer‐Isser, Nathan L. Johnson, Reena Mehra, Dennis Drotar, James E. Hartle, Robert M. Perkins and Lynn T. Singer. Their work appears in journals such as JAMA, Circulation and Journal of Clinical Oncology.
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.