H. Lester Kirchner
- Endocrine and Autonomic Systems top 0.2%
- Neuroscience of respiration and sleep 20
- Physiology top 0.5%
- Obstructive Sleep Apnea Research 18
- Nephrology top 1%
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- Infant Development and Preterm Care 9
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- Tuberculosis Research and Epidemiology 19
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- Posttraumatic Stress Disorder Research 14
- Migration, Health and Trauma 9
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- Neonatal Respiratory Health Research 10
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- Mycobacterium research and diagnosis 9
- Co-authors
- Susan RedlineCarol L. RosenDaniel J. GottliebAmy Storfer‐IsserNathan L. JohnsonReena MehraDennis DrotarJames E. Hartle
- 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
- Endocrine and Autonomic Systems 2.1k
- Physiology 2.8k
- Experimental and Cognitive Psychology 1.3k
- Nephrology 641
- Pediatrics, Perinatology and Child Health 1.4k
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
The 25 scholars most cited alongside H. Lester Kirchner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 15 | |
| 11 | 2022 | 22 | |
| 12 | 2022 | 2 | |
| 13 | 2021 | 16 | |
| 14 | 2021 | 2 | |
| 15 | 2020 | 11 | |
| 16 | Abstract 14425: Deep Neural Networks Can Predict 1-Year Mortality Directly From ECG Signal, Even When Clinically Interpreted as Normal | 2019 | 2 |
| 17 | 2019 | 17 | |
| 18 | 2019 | 98 | |
| 19 | 2019 | 129 | |
| 20 | 2005 | 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), Obstructive Sleep Apnea Research (18 papers), Posttraumatic Stress Disorder Research (14 papers), Neonatal Respiratory Health Research (10 papers), Migration, Health and Trauma (9 papers), Infant Development and Preterm Care (9 papers) and Mycobacterium research and diagnosis (9 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.