Daniel H. Polk
- Pulmonary and Respiratory Medicine top 2%
- Pediatrics, Perinatology and Child Health top 1%
- Endocrine and Autonomic Systems top 1%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Alan H. JobeJames F. PadburyMachiko IkegamiM. IkegamiM. Gore ErvinD A FisherDelbert A. FisherJohn P. Newnham
- Topics
- Neonatal Respiratory Health Research (44 papers)Neuroscience of respiration and sleep (26 papers)Birth, Development, and Health (21 papers)
- Cited by
- Endocrine and Autonomic SystemsPediatrics, Perinatology and Child HealthPulmonary and Respiratory Medicine
- Journals
- The LancetJournal of Clinical InvestigationThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesAustraliaTaiwan
In The Last Decade
Daniel H. Polk
76 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 81
- Pulmonary and Respiratory Medicine 1.2k
- Pediatrics, Perinatology and Child Health 885
- Endocrine and Autonomic Systems 498
- Surgery 498
- Endocrinology, Diabetes and Metabolism 438
Countries citing papers authored by Daniel H. Polk
This map shows the geographic impact of Daniel H. Polk'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 Daniel H. Polk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel H. Polk more than expected).
Fields of papers citing papers by Daniel H. Polk
This network shows the impact of papers produced by Daniel H. Polk. 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 Daniel H. Polk. The network helps show where Daniel H. Polk may publish in the future.
Co-authorship network of co-authors of Daniel H. Polk
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel H. Polk. A scholar is included among the top collaborators of Daniel H. Polk 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 Daniel H. Polk. Daniel H. Polk 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 | 5 | |
| 3 | 37 | |
| 4 | 12 | |
| 5 | 59 | |
| 6 | 28 | |
| 7 | 8 | |
| 8 | 88 | |
| 9 | 19 | |
| 10 | 23 | |
| 11 | 31 | |
| 12 | 45 | |
| 13 | 21 | |
| 14 | 18 | |
| 15 | 10 | |
| 16 | 85 | |
| 17 | 41 | |
| 18 | 31 | |
| 19 | 32 | |
| 20 | 61 |
About Daniel H. Polk
Daniel H. Polk is a scholar working on Endocrine and Autonomic Systems, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 76 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (44 papers), Neuroscience of respiration and sleep (26 papers) and Birth, Development, and Health (21 papers). The work is most often cited by research in Endocrine and Autonomic Systems (498 citations), Pediatrics, Perinatology and Child Health (885 citations) and Pulmonary and Respiratory Medicine (1.2k citations). Daniel H. Polk has collaborated with scholars based in United States, Australia and Taiwan. Frequent co-authors include Alan H. Jobe, James F. Padbury, Machiko Ikegami, M. Ikegami, M. Gore Ervin, D A Fisher, Delbert A. Fisher, John P. Newnham, Peter D. Sly and Philip L. Ballard. Their work appears in journals such as The Lancet, Journal of Clinical Investigation and The Journal of Clinical Endocrinology & Metabolism.
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.