Daniel Munblit

76 papers receiving 3.2k citations

Daniel Munblit's Hit Papers

Risk factors for post-COVID-19 condition (Long Covid) in children: a prospective cohort study 2023 · 67 citations
670+1+3Years since publication100200300400500

Peers

Daniel Munblit
Comparison fields: 5 of 131
  • Neurology 1.3k
  • Critical Care and Intensive Care Medicine 371
  • Nutrition and Dietetics 692
  • Infectious Diseases 773
  • Immunology and Allergy 237
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Citations per year

Countries citing papers authored by Daniel Munblit

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Munblit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Characterising long COVID: a living systematic review
Hit paper breakdown →
2021568
2
Preliminary evidence on long COVID in children
Hit paper breakdown →
2021323
3
Treatment of Multisystem Inflammatory Syndrome in Children
Hit paper breakdown →
2021196
4
Role of Human Milk Bioactives on Infants' Gut and Immune Health
Hit paper breakdown →
2021188
5 202099
6 201792
7 202083
8 202082
9 202281
10 202179
11 202278
12
Risk factors for post-COVID-19 condition (Long Covid) in children: a prospective cohort study
Hit paper breakdown →
202367
13 202064
14 202061
15 201860
16 201760
17 201956
18 202254
19 202054
20 201653

About Daniel Munblit

Daniel Munblit is a scholar working on Neurology, Epidemiology, Nutrition and Dietetics, Immunology and Allergy and Pulmonary and Respiratory Medicine, having authored 83 papers that have together received 3.3k indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (21 papers), Infant Nutrition and Health (21 papers), Food Allergy and Anaphylaxis Research (17 papers), Breastfeeding Practices and Influences (16 papers), COVID-19 Clinical Research Studies (12 papers), Eosinophilic Esophagitis (11 papers), Asthma and respiratory diseases (10 papers) and COVID-19 and Mental Health (9 papers). The work is most often cited by research in Neurology (1.3k citations), Critical Care and Intensive Care Medicine (371 citations), Nutrition and Dietetics (692 citations), Infectious Diseases (773 citations) and Immunology and Allergy (237 citations). Daniel Munblit has collaborated with scholars based in United Kingdom, Russia and United States. Frequent co-authors include Danilo Buonsenso, Piero Valentini, Cristina De Rose, Robert Boyle, John O. Warner, Louise Sigfrid, Antonia Ricchiuto, Dario Sinatti, Angelo Carfì and Piero Olliaro. Their work appears in journals such as Clinical & Experimental Allergy, Nutrients, Frontiers in Immunology, Pediatric Allergy and Immunology and The Journal of Allergy and Clinical Immunology In Practice.

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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