N Doll

744 citations
30 papers · 597 · h-index 13

Impact in

Papers in

N Doll

30 papers receiving 555 citations

Peers

N Doll
Comparison fields: 5 of 76
  • Cardiology and Cardiovascular Medicine 144
  • Hematology 57
  • Emergency Medicine 41
  • Pulmonary and Respiratory Medicine 130
  • Internal Medicine 10
Replace H Halbrook with:
H Halbrook United States
S Westaby United Kingdom
Afshin Assadian Austria
Stephen M. Langley United States
Peter Tesar Australia
Hiroyuki Tanaka Japan
Arvin I. Philippart United States
Petr Němec Czechia
D Lardé France
John Burman United Kingdom
N Doll relative to H Halbrook United States H Halbrook's profile →
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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006145
2 198475
3 200146
4
Diminished suppressor cell function in patients with asbestosis.
198133
5 200433
6 198333
7 200532
8 198228
9 198028
10 200223
11 198320
12 200319
13 198515
14 19799
15 20058
16 20016
17 19816
18
Prevalence of Sm antibody in family members of Sm positive patients with systemic lupus erythematosus.
19805
19 20024
20
Early results with stentless mitral valve replacement.
20044

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 Biomedical Engineering, having authored 30 papers that have together received 597 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (8 papers), Occupational and environmental lung diseases (5 papers), Occupational exposure and asthma (5 papers), Mechanical Circulatory Support Devices (4 papers), Inhalation and Respiratory Drug Delivery (3 papers), Air Quality and Health Impacts (2 papers), Indoor Air Quality and Microbial Exposure (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (144 citations), Hematology (57 citations), Emergency Medicine (41 citations), Pulmonary and Respiratory Medicine (130 citations) and Internal Medicine (10 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, Christian Wittekind, Robert C. Hastings, Larry E. Millikan, Raymond L. Barnhill and F. W. Mohr. Their work appears in journals such as Circulation, The Thoracic and Cardiovascular Surgeon, Clinics in Chest Medicine, Artificial Organs and Journal of Thoracic and Cardiovascular Surgery.

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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