Lynn Abel

3.4k citations
18 papers · 1.9k · 4 hit papers · h-index 14

Impact in

Papers in

Lynn Abel

18 papers receiving 1.9k citations

Lynn Abel's Hit Papers

GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19 2023 · 121 citations
1210+1+3Years since publication200400600

Peers

Lynn Abel
Comparison fields: 5 of 112
  • Infectious Diseases 863
  • Critical Care and Intensive Care Medicine 94
  • Neurology 287
  • Immunology 291
  • Internal Medicine 30
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Russell Barber Australia
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Countries citing papers authored by Lynn Abel

Since Specialization
Citations

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

Fields of papers citing papers by Lynn Abel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Lynn Abel, 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 Lynn Abel Line = papers co-authored together Lynn Abel links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Mapping the human genetic architecture of COVID-19
Hit paper breakdown →
2021641
2
Baricitinib in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial and updated meta-analysis
Hit paper breakdown →
2022230
3
Whole-genome sequencing reveals host factors underlying critical COVID-19
Hit paper breakdown →
2022228
4 2021163
5
GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19
Hit paper breakdown →
2023121
6 2022104
7 202299
8 202383
9 202362
10 202356
11 202345
12 202334
13 201424
14 202516
15 20239
16 20248
17 20251
18 20251

About Lynn Abel

Lynn Abel is a scholar working on Infectious Diseases, Immunology, Epidemiology, Critical Care and Intensive Care Medicine and Genetics, having authored 18 papers that have together received 1.9k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), interferon and immune responses (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Sepsis Diagnosis and Treatment (2 papers), Pneumonia and Respiratory Infections (1 paper), Liver Disease Diagnosis and Treatment (1 paper), Intensive Care Unit Cognitive Disorders (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Infectious Diseases (863 citations), Critical Care and Intensive Care Medicine (94 citations), Neurology (287 citations), Immunology (291 citations) and Internal Medicine (30 citations). Lynn Abel has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Clarence Henry Braddock, Tina Hernandez‐Boussard, Nancy L. Szaflarski and John Magaña Morton. Their work appears in journals such as JAMA, Nature, The Lancet, JAMA Network Open and BMC Cardiovascular Disorders.

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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