Nathan Hatton

730 citations
29 papers · 503 · h-index 11

Impact in

Papers in

Nathan Hatton

23 papers receiving 497 citations

Peers

Nathan Hatton
Comparison fields: 5 of 80
  • Pulmonary and Respiratory Medicine 288
  • Cardiology and Cardiovascular Medicine 174
  • Cancer Research 47
  • Genetics 29
  • Dermatology 24
Replace Pablo Íñigo with:
Pablo Íñigo Spain
Ligang Liu China
Gael B. Morrow United Kingdom
Mylène Vaillancourt United States
Ingibjörg Jóna Guðmundsdóttir Iceland
Shintaro Mandai Japan
Vesa Perhoniemi Finland
Paul S. Kellerman United States
Cho‐Han Chiang Taiwan
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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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015150
2 200087
3 202049
4 200040
5 201136
6 201532
7 202012
8 202011
9 202111
10 201110
11 202010
12 20169
13 20128
14 20216
15 20106
16 20186
17 20156
18 20224
19 20134
20 20233

About Nathan Hatton

Nathan Hatton is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology and Pathology and Forensic Medicine, having authored 29 papers that have together received 503 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (12 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Systemic Sclerosis and Related Diseases (4 papers), COVID-19 Impact on Reproduction (3 papers), Neonatal Respiratory Health Research (3 papers), Connective Tissue Growth Factor Research (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Cardiovascular Effects of Exercise (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (288 citations), Cardiology and Cardiovascular Medicine (174 citations), Cancer Research (47 citations), Genetics (29 citations) and Dermatology (24 citations). Nathan Hatton has collaborated with scholars based in United States, United Kingdom and Saudi Arabia. Frequent co-authors include John Ryan, Maureen A. Harrington, Rodney A. Rhoades, Najia Jin, Stephen L. Archer, Lian Tian, Shelby Kutty, Lindsay C. Bowman, Amer M. Johri and Jessica Huston. Their work appears in journals such as International Journal of Rheumatology, Journal of Geriatric Oncology, Pulmonary Circulation, Comprehensive physiology and CHEST Journal.

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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