Evan Do

1.3k total citations
2 papers, 17 citations indexed

About

Evan Do is a scholar working on Infectious Diseases, Molecular Biology and Physiology. According to data from OpenAlex, Evan Do has authored 2 papers receiving a total of 17 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Infectious Diseases, 1 paper in Molecular Biology and 1 paper in Physiology. Recurrent topics in Evan Do's work include Gut microbiota and health (1 paper), Food Allergy and Anaphylaxis Research (1 paper) and Immune responses and vaccinations (1 paper). Evan Do is often cited by papers focused on Gut microbiota and health (1 paper), Food Allergy and Anaphylaxis Research (1 paper) and Immune responses and vaccinations (1 paper). Evan Do collaborates with scholars based in United States, Switzerland and Ireland. Evan Do's co-authors include Kari C. Nadeau, Beate Rückert, Sayantani Sindher, Stephen J. Galli, Diane Dunham, Manru Li, Rosemarie H. DeKruyff, Duygu Yazıcı, Holden T. Maecker and Xiaorui Han and has published in prestigious journals such as Nature Communications and Allergy.

In The Last Decade

Evan Do

2 papers receiving 17 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Evan Do United States	2	7	3	3	3	2	2	17
Andrea Fernandes United States	2	8 1.1×	4 1.3×	4 1.3×	3 1.0×	1 0.5×	4	21
Irene Hernández‐Martín Spain	2	4 0.6×		3 1.0×	2 0.7×	1 0.5×	4	8
Amiran Gamkrelidze Georgia	1	5 0.7×		4 1.3×		2 1.0×	2	5
Giorgio Celi Italy	2	12 1.7×		3 1.0×	1 0.3×		3	12
G Bassett Australia	2	5 0.7×		5 1.7×		1 0.5×	4	7
Małgorzata Sacha Poland	2	5 0.7×		3 1.0×			4	5
Ömer Kalayci Türkiye	2	6 0.9×		6 2.0×			2	8
G. J. Burbach Germany	2	5 0.7×		2 0.7×		1 0.5×	2	8
Sara Howell United States	2	6 0.9×	1 0.3×	4 1.3×	1 0.3×		2	9
H Assalaarachchi United Kingdom	3	2 0.3×	2 0.7×		3 1.0×	4 2.0×	3	15

Countries citing papers authored by Evan Do

Since Specialization

Citations

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

Fields of papers citing papers by Evan Do

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evan Do

This figure shows the co-authorship network connecting the top 25 collaborators of Evan Do. A scholar is included among the top collaborators of Evan Do based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Evan Do. Evan Do is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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2 of 2 papers shown

1.

Yazıcı, Duygu, Eren Çağan, Ge Tan, et al.. (2023). Disrupted epithelial permeability as a predictor of severe COVID‐19 development. Allergy. 78(10). 2644–2658. 8 indexed citations

2.

Kaushik, Abhinav, Diane Dunham, Xiaorui Han, et al.. (2022). CD8+ T cell differentiation status correlates with the feasibility of sustained unresponsiveness following oral immunotherapy. Nature Communications. 13(1). 6646–6646. 9 indexed citations

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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