Fred Modell

1.3k citations
18 papers · 624 · h-index 14

Impact in

  • Immunology top 5%
    • Immunodeficiency and Autoimmune Disorders
    • Immune responses and vaccinations
    • Blood disorders and treatments
    • Genomics and Rare Diseases

Papers in

Fred Modell

17 papers receiving 603 citations

Peers

Fred Modell
Comparison fields: 5 of 41
  • Immunology 546
  • Genetics 51
  • Genetics 131
  • Hematology 49
  • Pulmonary and Respiratory Medicine 133
Replace Vicki Modell with:
Vicki Modell Australia
Benjamin Gathmann Germany
Viviane Knerr United Kingdom
Andrea Guerra United States
Ibtihal Benhsaien Morocco
Mary Hintermeyer United States
Taher Cheraghi Iran
Erez Rechavi Israel
Jason Raasch United States
R Söderström Sweden
Fred Modell relative to Vicki Modell Australia Vicki Modell's profile →
Citations per field
00.5×1.5×
Vicki Modell · 1×
Citations per year

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-authors

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

All Works

18 of 18 papers shown
#Work
1 2011116
2 2018100
3 201474
4 200942
5 201441
6 201639
7 202234
8 201730
9 201930
10 202228
11 202024
12 202418
13 202018
14 202213
15 20079
16 20105
17 20192
18 20081

About Fred Modell

Fred Modell is a scholar working on Immunology, Pulmonary and Respiratory Medicine, Epidemiology, Infectious Diseases and Genetics, having authored 18 papers that have together received 624 indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (17 papers), Cystic Fibrosis Research Advances (9 papers), Respiratory viral infections research (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Tuberculosis Research and Epidemiology (2 papers), Neonatal Respiratory Health Research (2 papers), Genomics and Rare Diseases (1 paper) and Ideological and Political Education (1 paper). The work is most often cited by research in Immunology (546 citations), Genetics (51 citations), Genetics (131 citations), Hematology (49 citations) and Pulmonary and Respiratory Medicine (133 citations). Fred Modell has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Vicki Modell, Jordan S. Orange, Jessica Quinn, Luigi D. Notarangelo, Megan Knaus, Chaim M. Roifman, Diana Puente, Ricardo U. Sorensen, David B. Lewis and John M. Routes. Their work appears in journals such as Immunologic Research, Journal of Allergy and Clinical Immunology, Frontiers in Pediatrics, Orphanet Journal of Rare Diseases and Frontiers in Immunology.

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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