Natasha Purington

2.0k citations
54 papers · 1.0k indexed · h-index 14

Impact in

Papers in

Natasha Purington

53 papers receiving 1.0k citations

Peers

Natasha Purington
Comparison fields: 5 of 88
  • Immunology and Allergy 593
  • Dermatology 105
  • Physiology 300
  • Surgery 262
  • Immunology 116
Replace Monica G. Lawrence with:
Monica G. Lawrence United States
Julie Olsson United States
Brian D. Modena United States
Saira Z. Sheikh United States
Joyce T. Hsu United States
C. Kortsik Germany
JingYuan Feng United States
Marcus Schmitt‐Egenolf Sweden
Paneez Khoury United States
Marta Ferrán Spain
Natasha Purington relative to Monica G. Lawrence United States Monica G. Lawrence's profile →
Citations per field
00.5×3.2×
Monica G. Lawrence · 1×
Citations per year

Countries citing papers authored by Natasha Purington

Since Specialization
Citations

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

Fields of papers citing papers by Natasha Purington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202321
2 20224
3 20223
4 20227
5 202111
6 20215
7 20210
8 202113
9 202136
10 202037
11 202043
12 20209
13 20195
14 201912
15 201867
16 20184
17 201825
18 201844
19 201836
20 2017169

About Natasha Purington

Natasha Purington is a scholar working on Immunology and Allergy, Transplantation, Cancer Research, Rheumatology and Statistics and Probability, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include Food Allergy and Anaphylaxis Research (17 papers), Allergic Rhinitis and Sensitization (15 papers), Asthma and respiratory diseases (7 papers), Eosinophilic Esophagitis (6 papers), Eosinophilic Disorders and Syndromes (5 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers), Cancer Genomics and Diagnostics (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Immunology and Allergy (593 citations), Dermatology (105 citations), Physiology (300 citations), Surgery (262 citations) and Immunology (116 citations). Natasha Purington has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include R. Sharon Chinthrajah, Kari C. Nadeau, Manisha Desai, Stephen J. Galli, Sandra Andorf, Andrew Long, Dana Tupa, Monali Manohar, Scott D. Boyd and Mindy Tsai. Their work appears in journals such as Journal of Allergy and Clinical Immunology, Frontiers in Immunology, Annals of Allergy Asthma & Immunology, Journal of Clinical Oncology and World Allergy Organization Journal.

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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