Fred Modell

1.3k citations
18 papers · 601 · h-index 13

Impact in

  • Immunology top 5%
    • Immunodeficiency and Autoimmune Disorders
    • Immune responses and vaccinations
  • Genetics top 10%
    • Blood disorders and treatments

Papers in

Fred Modell

17 papers receiving 576 citations

Peers

Fred Modell
Comparison fields: 5 of 49
  • Immunology 551
  • Genetics 203
  • Hematology 80
  • Pulmonary and Respiratory Medicine 218
  • Genetics 67
Replace Vicki Modell with:
Vicki Modell United States
Benjamin Gathmann Germany
Viviane Knerr United Kingdom
Giuseppe Spadaro Italy
Mary Hintermeyer United States
Cleveland Moore United States
Erez Rechavi Israel
Jason Raasch United States
C Cale United Kingdom
Sara Elva Espinosa‐Padilla Mexico
Fred Modell relative to Vicki Modell United States 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 2011113
2 201894
3 201472
4 201441
5 200941
6 201639
7 202233
8 201730
9 201929
10 202024
11 202223
12 202018
13 202415
14 202212
15 20079
16 20105
17 20192
18 20081

About Fred Modell

Fred Modell is a scholar working on Immunology, Pulmonary and Respiratory Medicine, Epidemiology, Genetics and Infectious Diseases, having authored 18 papers that have together received 601 indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (17 papers), Cystic Fibrosis Research Advances (11 papers), Respiratory viral infections research (3 papers), Pediatric health and respiratory diseases (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Tuberculosis Research and Epidemiology (2 papers), Genomics and Rare Diseases (2 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Immunology (551 citations), Genetics (203 citations), Hematology (80 citations), Pulmonary and Respiratory Medicine (218 citations) and Genetics (67 citations). Fred Modell has collaborated with scholars based in United States, Australia 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, John M. Routes and David B. Lewis. 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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