Alison E. John

2.8k citations
52 papers · 1.6k · h-index 22

Impact in

Papers in

Alison E. John

49 papers receiving 1.6k citations

Peers

Alison E. John
Comparison fields: 5 of 104
  • Immunology and Allergy 170
  • Immunology 371
  • Pulmonary and Respiratory Medicine 468
  • Physiology 295
  • Oncology 217
Replace Amanda L. Tatler with:
Amanda L. Tatler United Kingdom
Yukiko Iino Japan
Richard Murray Australia
Tracy L. Adair-Kirk United States
Christina Morse United States
Børge Teisner Denmark
Luciana Rigoli Italy
Jeffrey R. Crosby United States
Adam Griesemer United States
Leonid Izikson United States
Alison E. John relative to Amanda L. Tatler United Kingdom Amanda L. Tatler's profile →
Citations per field
00.5×1.5×2.0×
Amanda L. Tatler · 1×
Citations per year

Countries citing papers authored by Alison E. John

Since Specialization
Citations

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

Fields of papers citing papers by Alison E. John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alison E. John. 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 Alison E. John. The network helps show where Alison E. John may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021138
2 2011124
3 2001123
4 2017120
5 200997
6 201380
7 200876
8 200371
9 200967
10 200660
11 201553
12 200551
13 200350
14 201249
15 200243
16 201341
17 201635
18 200432
19 200831
20 200329

About Alison E. John

Alison E. John is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Molecular Biology, Oncology and Immunology and Allergy, having authored 52 papers that have together received 1.6k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (12 papers), Asthma and respiratory diseases (11 papers), Neonatal Respiratory Health Research (8 papers), Cell Adhesion Molecules Research (5 papers), Respiratory viral infections research (4 papers), Chemokine receptors and signaling (4 papers), Epigenetics and DNA Methylation (3 papers) and Occupational exposure and asthma (3 papers). The work is most often cited by research in Immunology and Allergy (170 citations), Immunology (371 citations), Pulmonary and Respiratory Medicine (468 citations), Physiology (295 citations) and Oncology (217 citations). Alison E. John has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Gísli Jenkins, Nicholas W. Lukacs, Amanda L. Tatler, Aaron A. Berlin, Alan J. Knox, Christopher E. Brightling, Anthony Habgood, Chitra Joseph, Rachel L. Clifford and David R. Greaves. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology, American Journal of Physiology-Lung Cellular and Molecular Physiology, Journal of Animal Science and Thorax.

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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