Nathan Hatton

747 citations
30 papers · 525 · h-index 11

Impact in

Papers in

Nathan Hatton

23 papers receiving 518 citations

Peers

Nathan Hatton
Comparison fields: 5 of 78
  • Pulmonary and Respiratory Medicine 268
  • Cardiology and Cardiovascular Medicine 128
  • Cancer Research 42
  • Critical Care and Intensive Care Medicine 12
  • Genetics 24
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Hisanaga Yagyu Japan
Pablo Íñigo Spain
Kerrie A. Smith United Kingdom
P Even Germany
Alex Zagariya United States
S.C. Erzurum United States
Amal Abdul‐Hafez United States
Michael J. Segel Israel
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Citations per field
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Citations per year

Countries citing papers authored by Nathan Hatton

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Hatton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan Hatton. 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 Nathan Hatton. The network helps show where Nathan Hatton may publish in the future.

Co-authors

The 25 scholars most cited alongside Nathan Hatton, 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 Nathan Hatton Line = papers co-authored together Nathan Hatton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015156
2 200089
3 202051
4 200044
5 201137
6 201533
7 202013
8 202111
9 202011
10 202010
11 201110
12 20169
13 20128
14 20106
15 20236
16 20216
17 20186
18 20156
19 20135
20 20224

About Nathan Hatton

Nathan Hatton is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Epidemiology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 30 papers that have together received 525 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (12 papers), Systemic Sclerosis and Related Diseases (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Vascular Anomalies and Treatments (3 papers), Congenital Heart Disease Studies (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Cardiovascular Effects of Exercise (2 papers) and COVID-19 Impact on Reproduction (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (268 citations), Cardiology and Cardiovascular Medicine (128 citations), Cancer Research (42 citations), Critical Care and Intensive Care Medicine (12 citations) and Genetics (24 citations). Nathan Hatton has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include John Ryan, Najia Jin, Maureen A. Harrington, Rodney A. Rhoades, Jessica Huston, Amer M. Johri, Stephen L. Archer, Lian Tian, Lindsay C. Bowman and Shelby Kutty. Their work appears in journals such as Pulmonary Circulation, Comprehensive physiology, Journal of Geriatric Oncology, International Journal of Rheumatology and Circulation.

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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