Fred Modell

1.3k total citations
18 papers, 601 citations indexed

About

Fred Modell is a scholar working on Immunology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Fred Modell has authored 18 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 11 papers in Pulmonary and Respiratory Medicine and 7 papers in Epidemiology. Recurrent topics in Fred Modell's work include Immunodeficiency and Autoimmune Disorders (17 papers), Cystic Fibrosis Research Advances (11 papers) and Respiratory viral infections research (3 papers). Fred Modell is often cited by papers focused on Immunodeficiency and Autoimmune Disorders (17 papers), Cystic Fibrosis Research Advances (11 papers) and Respiratory viral infections research (3 papers). Fred Modell collaborates with scholars based in United States, Australia and Canada. Fred Modell's co-authors include Vicki Modell, Jordan S. Orange, Jessica Quinn, Luigi D. Notarangelo, Megan Knaus, Chaim M. Roifman, Diana Puente, David B. Lewis, John M. Routes and Ricardo U. Sorensen and has published in prestigious journals such as Journal of Allergy and Clinical Immunology, Frontiers in Immunology and Orphanet Journal of Rare Diseases.

In The Last Decade

Fred Modell

17 papers receiving 576 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fred Modell United States 13 551 218 203 151 88 18 601
Vicki Modell United States 14 561 1.0× 224 1.0× 203 1.0× 157 1.0× 89 1.0× 16 608
Benjamin Gathmann Germany 11 541 1.0× 219 1.0× 203 1.0× 145 1.0× 45 0.5× 13 599
Viviane Knerr United Kingdom 7 456 0.8× 188 0.9× 174 0.9× 117 0.8× 40 0.5× 7 491
Giuseppe Spadaro Italy 12 802 1.5× 304 1.4× 305 1.5× 162 1.1× 92 1.0× 18 874
Mary Hintermeyer United States 12 416 0.8× 199 0.9× 156 0.8× 109 0.7× 31 0.4× 18 499
Erez Rechavi Israel 11 319 0.6× 84 0.4× 102 0.5× 84 0.6× 36 0.4× 17 443
Cleveland Moore United States 11 294 0.5× 154 0.7× 80 0.4× 258 1.7× 24 0.3× 15 567
Jason Raasch United States 6 278 0.5× 120 0.6× 97 0.5× 118 0.8× 30 0.3× 9 440
R Söderström Sweden 9 228 0.4× 53 0.2× 66 0.3× 98 0.6× 34 0.4× 16 367
C Cale United Kingdom 6 240 0.4× 30 0.1× 146 0.7× 93 0.6× 68 0.8× 6 390

Countries citing papers authored by Fred Modell

Since Specialization
Citations

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

Fields of papers citing papers by Fred Modell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fred Modell

This figure shows the co-authorship network connecting the top 25 collaborators of Fred Modell. A scholar is included among the top collaborators of Fred Modell 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 Fred Modell. Fred Modell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Rider, Nicholas L., Mary Horan, Jessica Quinn, et al.. (2024). Validating inborn error of immunity prevalence and risk with nationally representative electronic health record data. Journal of Allergy and Clinical Immunology. 153(6). 1704–1710. 15 indexed citations
2.
Rider, Nicholas L., Michael D. Coffey, Jessica Quinn, et al.. (2022). A validated artificial intelligence-based pipeline for population-wide primary immunodeficiency screening. Journal of Allergy and Clinical Immunology. 151(1). 272–279. 23 indexed citations
3.
Quinn, Jessica, Vicki Modell, Jordan S. Orange, & Fred Modell. (2022). Growth in diagnosis and treatment of primary immunodeficiency within the global Jeffrey Modell Centers Network. Allergy Asthma and Clinical Immunology. 18(1). 19–19. 33 indexed citations
4.
Quinn, Jessica, Vicki Modell, Britt Johnson, et al.. (2022). Global Expansion of Jeffrey’s Insights: Jeffrey Modell Foundation’s Genetic Sequencing Program for Primary Immunodeficiency. Frontiers in Immunology. 13. 906540–906540. 12 indexed citations
5.
6.
Quinn, Jessica, Jordan S. Orange, Vicki Modell, & Fred Modell. (2020). The case for severe combined immunodeficiency (SCID) and T cell lymphopenia newborn screening: saving lives…one at a time. Immunologic Research. 68(1). 48–53. 24 indexed citations
7.
Rider, Nicholas L., Di Miao, Vicki Modell, et al.. (2019). Calculation of a Primary Immunodeficiency “Risk Vital Sign” via Population-Wide Analysis of Claims Data to Aid in Clinical Decision Support. Frontiers in Pediatrics. 7. 70–70. 29 indexed citations
8.
Šedivá, Anna, Elisabeth Förster‐Waldl, Elissaveta Naumova, et al.. (2019). Primary immunodeficiencies in Central and Eastern Europe—the power of networking Report on the activity of the Jeffrey Modell Foundation Centers Network in Central and Eastern Europe. Immunologic Research. 67(4-5). 358–367. 2 indexed citations
9.
Modell, Vicki, Jordan S. Orange, Jessica Quinn, & Fred Modell. (2018). Global report on primary immunodeficiencies: 2018 update from the Jeffrey Modell Centers Network on disease classification, regional trends, treatment modalities, and physician reported outcomes. Immunologic Research. 66(3). 367–380. 94 indexed citations
10.
Modell, Vicki, et al.. (2017). Modeling strategy to identify patients with primary immunodeficiency utilizing risk management and outcome measurement. Immunologic Research. 65(3). 713–720. 30 indexed citations
11.
Modell, Vicki, Jessica Quinn, Jordan S. Orange, Luigi D. Notarangelo, & Fred Modell. (2016). Primary immunodeficiencies worldwide: an updated overview from the Jeffrey Modell Centers Global Network. Immunologic Research. 64(3). 736–753. 39 indexed citations
12.
Modell, Vicki, Megan Knaus, & Fred Modell. (2014). An analysis and decision tool to measure cost benefit of newborn screening for severe combined immunodeficiency (SCID) and related T-cell lymphopenia. Immunologic Research. 60(1). 145–152. 41 indexed citations
13.
Modell, Vicki, Megan Knaus, Fred Modell, et al.. (2014). Global overview of primary immunodeficiencies: a report from Jeffrey Modell Centers worldwide focused on diagnosis, treatment, and discovery. Immunologic Research. 60(1). 132–144. 72 indexed citations
14.
Modell, Vicki, David B. Lewis, Jordan S. Orange, et al.. (2011). Global study of primary immunodeficiency diseases (PI)—diagnosis, treatment, and economic impact: an updated report from the Jeffrey Modell Foundation. Immunologic Research. 51(1). 61–70. 113 indexed citations
15.
Modell, Fred, et al.. (2010). Primary Immunodeficiencies (PID): driving diagnosis for optimal care in Europe. Orphanet Journal of Rare Diseases. 5(S1). 5 indexed citations
17.
Modell, Fred. (2008). Primary Immunodeficiencies (PID): The importance of earliest possible diagnosis. Pharmaceuticals Policy and Law. 10(1-4). 161–165. 1 indexed citations
18.
Modell, Fred. (2007). Immunology today and new discoveries: building upon legacies of Dr. Robert A. Good. Immunologic Research. 38(1-3). 48–50. 9 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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