Daniel Munblit

10.3k total citations · 5 hit papers
83 papers, 3.3k citations indexed

About

Daniel Munblit is a scholar working on Neurology, Epidemiology and Nutrition and Dietetics. According to data from OpenAlex, Daniel Munblit has authored 83 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Neurology, 21 papers in Epidemiology and 21 papers in Nutrition and Dietetics. Recurrent topics in Daniel Munblit's work include Infant Nutrition and Health (21 papers), Long-Term Effects of COVID-19 (21 papers) and Food Allergy and Anaphylaxis Research (17 papers). Daniel Munblit is often cited by papers focused on Infant Nutrition and Health (21 papers), Long-Term Effects of COVID-19 (21 papers) and Food Allergy and Anaphylaxis Research (17 papers). Daniel Munblit collaborates with scholars based in United Kingdom, Russia and United States. Daniel Munblit's 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 and has published in prestigious journals such as New England Journal of Medicine, The Lancet and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel Munblit

76 papers receiving 3.2k citations

Hit Papers

Characterising long COVID... 2021 2026 2022 2024 2021 2021 2021 2021 2023 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel Munblit 1.3k 773 692 643 611 83 3.3k
Paddy Ssentongo 755 0.6× 996 1.3× 246 0.4× 411 0.6× 417 0.7× 101 2.7k
Stephen Halpin 1.6k 1.3× 605 0.8× 51 0.1× 868 1.3× 430 0.7× 46 3.0k
Anna E. Ssentongo 690 0.5× 795 1.0× 139 0.2× 393 0.6× 163 0.3× 42 1.9k
Béatrice Larroque 280 0.2× 90 0.1× 331 0.5× 586 0.9× 1.3k 2.2× 96 5.6k
Eleanor J. Molloy 158 0.1× 255 0.3× 367 0.5× 102 0.2× 1.1k 1.7× 242 4.1k
Babak Khoshnood 182 0.1× 279 0.4× 158 0.2× 170 0.3× 1.4k 2.3× 190 5.1k
Andree Kurniawan 607 0.5× 1.0k 1.3× 77 0.1× 189 0.3× 206 0.3× 114 1.7k
John S. Oh 706 0.6× 288 0.4× 30 0.0× 320 0.5× 336 0.5× 66 2.0k
L. Fardet 296 0.2× 1.1k 1.5× 36 0.1× 187 0.3× 548 0.9× 113 4.5k
T. Charles Casper 213 0.2× 172 0.2× 74 0.1× 223 0.3× 359 0.6× 98 2.1k

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-authorship network of co-authors of Daniel Munblit

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Munblit. A scholar is included among the top collaborators of Daniel Munblit based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Munblit. Daniel Munblit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Robertus, Jan Lukas, et al.. (2025). Systematic scoping review of external validation studies of AI pathology models for lung cancer diagnosis. npj Precision Oncology. 9(1). 166–166. 5 indexed citations
3.
Protudjer, Jennifer L. P., Daniel Munblit, Christian Apfelbacher, et al.. (2024). COFAITH and COMFA: A Collective Roadmap for Past and Future Food Allergy Clinical Trials and Observational Research on Interventions. Clinical & Experimental Allergy. 54(9). 697–699.
4.
Munblit, Daniel, А. Yu. Suvorov, Andrey Morozov, et al.. (2024). The search for an optimal tissue‐engineered urethra model for clinical application based on preclinical trials in male animals: A systematic review and meta‐analysis. Bioengineering & Translational Medicine. 9(6). e10700–e10700. 2 indexed citations
5.
Munblit, Daniel, Alice Fabbri, Quinn Grundy, et al.. (2024). Cross-sectional examination of commercial milk formula industry funding of international, regional and national healthcare professional associations: protocol. BMJ Open. 14(5). e083216–e083216. 1 indexed citations
6.
Jassat, Waasila, Luis Felipe Reyes, Daniel Munblit, et al.. (2023). Long COVID in low-income and middle-income countries: the hidden public health crisis. The Lancet. 402(10408). 1115–1117. 26 indexed citations
7.
Deckert, Stefanie, et al.. (2023). Allergic diseases as risk factors for Long‐COVID symptoms: Systematic review of prospective cohort studies. Clinical & Experimental Allergy. 53(11). 1162–1176. 7 indexed citations
8.
Morello, Rosa, Francesco Mariani, Cristina De Rose, et al.. (2023). Risk factors for post-COVID-19 condition (Long Covid) in children: a prospective cohort study. EClinicalMedicine. 59. 101961–101961. 67 indexed citations breakdown →
9.
10.
Gorst, Sarah L., Nina Seylanova, Nicola Harman, et al.. (2023). A Core Outcome Measurement Set (COMS) for Research and Clinical Practice in Post COVID-19 Condition (Long COVID) in Adults: An International Delphi Consensus Study. SSRN Electronic Journal. 3 indexed citations
11.
Яковлева, Екатерина, Melanie Rae Simpson, Sindre Andre Pedersen, et al.. (2023). Intranasal analgesia for acute moderate to severe pain in children – a systematic review and meta-analysis. BMC Pediatrics. 23(1). 405–405. 7 indexed citations
12.
Gupta, Arun Kumar, Neeraj Gupta, Anup Thakur, et al.. (2023). Formula milk companies and allergy healthcare professionals in India. Clinical & Experimental Allergy. 53(7). 697–710. 2 indexed citations
13.
Munblit, Daniel, Matthew Greenhawt, Helen A. Brough, et al.. (2022). Allergic diseases and immunodeficiencies in children, lessons learnt from COVID ‐19 pandemic by 2022: A statement from the EAACI ‐section on pediatrics. Pediatric Allergy and Immunology. 33(10). e13851–e13851. 8 indexed citations
15.
Leung, Agnes Sze Yin, Elizabeth Huiwen Tham, Daniel Munblit, et al.. (2022). Quality and consistency of clinical practice guidelines on the prevention of food allergy and atopic dermatitis: Systematic review protocol. World Allergy Organization Journal. 15(9). 100679–100679. 1 indexed citations
16.
Michelen, Melina, Lakshmi Manoharan, Natalie Elkheir, et al.. (2021). Characterising long COVID: a living systematic review. BMJ Global Health. 6(9). e005427–e005427. 568 indexed citations breakdown →
17.
Brough, Helen A., Ömer Kalaycı, Anna Šedivá, et al.. (2020). Managing childhood allergies and immunodeficiencies during respiratory virus epidemics – The 2020 COVID‐19 pandemic: A statement from the EAACI‐section on pediatrics. Pediatric Allergy and Immunology. 31(5). 442–448. 82 indexed citations
18.
Nekliudov, Nikita, Oleg Blyuss, Jon Genuneit, et al.. (2020). Excessive Media Consumption About COVID-19 is Associated With Increased State Anxiety: Outcomes of a Large Online Survey in Russia. Journal of Medical Internet Research. 22(9). e20955–e20955. 83 indexed citations
19.
Saso, Anja, et al.. (2019). Breast Milk Cytokines and Early Growth in Gambian Infants. Frontiers in Pediatrics. 6. 414–414. 17 indexed citations
20.
Munblit, Daniel, et al.. (2017). CLINICAL AND EPIDEMIOLOGICAL ASPECTS OF PRIMARY IMMUNODEFICIENCY DISEASES (PID) AND EARLY DIAGNOSIS OPTIONS. Medical Immunology (Russia). 19(5). 505–512. 5 indexed citations

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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