John E. Baatz

85 papers receiving 2.4k citations

Peers

John E. Baatz
Comparison fields: 5 of 110
  • Pulmonary and Respiratory Medicine 865
  • Pathology and Forensic Medicine 192
  • Obstetrics and Gynecology 100
  • Molecular Biology 624
  • Health, Toxicology and Mutagenesis 133
Replace Masaki Miyazawa with:
Masaki Miyazawa Japan
Andong Qiu United States
Yu Ying Feng China
Maeve O’Sullivan United States
Ann Smith United States
Jeanne M. Snyder United States
Toyoaki Akino Japan
Helmut Rumpold Austria
Janis Kay Shute United Kingdom
Peter H. S. Sporn United States
John E. Baatz relative to Masaki Miyazawa Japan Masaki Miyazawa's profile →
Citations per field
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Citations per year

Countries citing papers authored by John E. Baatz

Since Specialization
Citations

This map shows the geographic impact of John E. Baatz'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 E. Baatz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John E. Baatz more than expected).

Fields of papers citing papers by John E. Baatz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Baatz. 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 E. Baatz. The network helps show where John E. Baatz may publish in the future.

Co-authors

The 25 scholars most cited alongside John E. Baatz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John E. Baatz Line = papers co-authored together John E. Baatz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990139
2 2006137
3 2007105
4 2011103
5 200883
6 201077
7 198876
8 200975
9 200972
10 199671
11 199659
12 198956
13 199154
14 199251
15 201948
16 199945
17 200343
18 201342
19 201542
20 201742

About John E. Baatz

John E. Baatz is a scholar working on Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Nutrition and Dietetics, Molecular Biology and Otorhinolaryngology, having authored 89 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (22 papers), Vitamin D Research Studies (14 papers), Infant Nutrition and Health (11 papers), Lipid Membrane Structure and Behavior (7 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Sinusitis and nasal conditions (4 papers) and Surfactants and Colloidal Systems (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (865 citations), Pathology and Forensic Medicine (192 citations), Obstetrics and Gynecology (100 citations), Molecular Biology (624 citations) and Health, Toxicology and Mutagenesis (133 citations). John E. Baatz has collaborated with scholars based in United States, Italy and Iran. Frequent co-authors include Jeffrey A. Whitsett, Danforth A. Newton, Demetri D. Spyropoulos, Richard A. Dluhy, Carol L. Wagner, Robert H. Notter, Bruce W. Hollis, K. Murali Krishna Rao, Thomas R. Korfhagen and Donna Johnson. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Chemistry and Physics of Lipids, Pediatric Research, Journal of Biological Chemistry and Advances in experimental medicine and biology.

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.

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