N Doll

741 citations
29 papers · 551 indexed · h-index 12

Impact in

Papers in

N Doll

27 papers receiving 523 citations

Peers

N Doll
Comparison fields: 5 of 76
  • Cardiology and Cardiovascular Medicine 197
  • Emergency Medicine 79
  • Hematology 58
  • Internal Medicine 16
  • Pulmonary and Respiratory Medicine 137
Replace H Halbrook with:
H Halbrook United States
Suvro Sett Canada
John D. Milam United States
Ga Yeon Lee South Korea
P. Boissonnat France
Yuval Raz United States
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Citations per field
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Citations per year

Countries citing papers authored by N Doll

Since Specialization
Citations

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

Fields of papers citing papers by N Doll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside N Doll, 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 N Doll Line = papers co-authored together N Doll 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 2006138
2 198470
3 200141
4 200432
5 198331
6
Diminished suppressor cell function in patients with asbestosis.
198130
7 200530
8 198027
9 198224
10 200223
11 200319
12 198316
13 198510
14 20058
15 19798
16 20016
17
Prevalence of Sm antibody in family members of Sm positive patients with systemic lupus erythematosus.
19805
18 20064
19 20024
20 20114

About N Doll

N Doll is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health, Health, Toxicology and Mutagenesis and Epidemiology, having authored 29 papers that have together received 551 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (9 papers), Occupational exposure and asthma (5 papers), Occupational and environmental lung diseases (5 papers), Infective Endocarditis Diagnosis and Management (4 papers), Inhalation and Respiratory Drug Delivery (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Cardiac Arrhythmias and Treatments (2 papers) and Heart Failure Treatment and Management (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (197 citations), Emergency Medicine (79 citations), Hematology (58 citations), Internal Medicine (16 citations) and Pulmonary and Respiratory Medicine (137 citations). N Doll has collaborated with scholars based in Germany and United States. Frequent co-authors include Thomas Walther, John E. Salvaggio, Ardawan Rastan, Sven Lehmann, Volkmar Falk, Larry E. Millikan, Raymond L. Barnhill, Christian Wittekind, Robert C. Hastings and F. W. Mohr. Their work appears in journals such as The Thoracic and Cardiovascular Surgeon, Circulation, Artificial Organs, Clinics in Chest Medicine and Journal of the American Academy of Dermatology.

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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