Dawn Nolt

3.1k citations
36 papers · 814 · h-index 17

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 6
    • Influenza Virus Research Studies 5
    • Mycobacterium research and diagnosis 4
    • Pneumonia and Respiratory Infections 3

Dawn Nolt

35 papers receiving 793 citations

Peers

Dawn Nolt
Comparison fields: 5 of 95
  • Microbiology 15
  • Infectious Diseases 321
  • Epidemiology 367
  • Immunology 173
  • Microbiology 46
Replace Haim Ben‐Zvi with:
Haim Ben‐Zvi Israel
Syed Faisal Mahmood Pakistan
Maeve K. Lalor United Kingdom
Tehmina Mustafa Norway
Deborah Steensels Belgium
Benjamin Wyplosz France
Maricar Malinis United States
Jasjit Singh United States
Urvashi B. Singh India
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Citations per field
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Haim Ben‐Zvi · 1×
Citations per year

Countries citing papers authored by Dawn Nolt

Since Specialization
Citations

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

Fields of papers citing papers by Dawn Nolt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200599
2 200980
3 200154
4 201753
5 201847
6 201944
7 202140
8 201638
9 200438
10 200336
11 201635
12 200431
13 201629
14 201528
15 202125
16 201722
17 201517
18 200012
19 201311
20 200211

About Dawn Nolt

Dawn Nolt is a scholar working on Infectious Diseases, Epidemiology, Health, Pulmonary and Respiratory Medicine and Immunology, having authored 36 papers that have together received 814 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (8 papers), Tuberculosis Research and Epidemiology (6 papers), Influenza Virus Research Studies (5 papers), Mycobacterium research and diagnosis (4 papers), Cystic Fibrosis Research Advances (4 papers), Child and Adolescent Health (4 papers), Pneumonia and Respiratory Infections (3 papers) and Pediatric health and respiratory diseases (3 papers). The work is most often cited by research in Microbiology (15 citations), Infectious Diseases (321 citations), Epidemiology (367 citations), Immunology (173 citations) and Microbiology (46 citations). Dawn Nolt has collaborated with scholars based in United States, Hungary and Saudi Arabia. Frequent co-authors include JoAnne L. Flynn, Vanja Lazarevic, Yvonne Maldonado, Ellen R. Wald, William J. Steinbach, Jeffrey R. Starke, Elizabeth D. Barnett, Ruth Lynfield, Flor M. Muñoz and Sean T. O’Leary. Their work appears in journals such as PEDIATRICS, Open Forum Infectious Diseases, Pediatric Dermatology, Infection and Immunity and Current Opinion in Pediatrics.

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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