Chris J. Eisley

1.4k total citations · 1 hit paper
6 papers, 1.1k citations indexed

About

Chris J. Eisley is a scholar working on Pulmonary and Respiratory Medicine, Genetics and Immunology. According to data from OpenAlex, Chris J. Eisley has authored 6 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pulmonary and Respiratory Medicine, 2 papers in Genetics and 2 papers in Immunology. Recurrent topics in Chris J. Eisley's work include IL-33, ST2, and ILC Pathways (2 papers), Genetic and phenotypic traits in livestock (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). Chris J. Eisley is often cited by papers focused on IL-33, ST2, and ILC Pathways (2 papers), Genetic and phenotypic traits in livestock (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). Chris J. Eisley collaborates with scholars based in United States, Netherlands and Canada. Chris J. Eisley's co-authors include David J. Erle, April E. Price, R. Lee Reinhardt, Hong-Erh Liang, Richard M. Locksley, Brandon M. Sullivan, Sílvio Favoreto, Assel Biyasheva, Junqing Shen and Peter McErlean and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Genome Medicine.

In The Last Decade

Chris J. Eisley

6 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Systemically dispersed innate IL-13–expressing cells in type 2 immunity

2010 902 citations April E. Price, Hong-Erh Liang et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chris J. Eisley United States	4	878	608	204	98	55	6	1.1k
Sarah J. Ballantyne United Kingdom	7	937 1.1×	443 0.7×	414 2.0×	46 0.5×	55 1.0×	7	1.2k
Konrad Gronke Germany	11	1.1k 1.3×	548 0.9×	69 0.3×	209 2.1×	128 2.3×	12	1.5k
Ann McIlgorm United Kingdom	6	491 0.6×	277 0.5×	155 0.8×	24 0.2×	9 0.2×	7	698
Arielle Glatman Zaretsky United States	10	717 0.8×	56 0.1×	130 0.6×	174 1.8×	98 1.8×	11	1.1k
Ariel Millman United States	8	506 0.6×	130 0.2×	64 0.3×	158 1.6×	24 0.4×	8	886
Nadia Yessaad France	5	1.2k 1.3×	121 0.2×	38 0.2×	166 1.7×	59 1.1×	5	1.4k
Gesmar Rodrigues Silva Segundo Brazil	15	276 0.3×	100 0.2×	122 0.6×	100 1.0×	122 2.2×	52	739
Tina D. Walker Canada	22	769 0.9×	323 0.5×	861 4.2×	126 1.3×	30 0.5×	34	1.6k
J A Enciso Mexico	10	227 0.3×	185 0.3×	101 0.5×	152 1.6×	24 0.4×	11	689
Vincent Sinickas Australia	10	460 0.5×	144 0.2×	46 0.2×	190 1.9×	57 1.0×	20	1.0k

Countries citing papers authored by Chris J. Eisley

Since Specialization

Citations

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

Fields of papers citing papers by Chris J. Eisley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris J. Eisley. 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 Chris J. Eisley. The network helps show where Chris J. Eisley may publish in the future.

Co-authorship network of co-authors of Chris J. Eisley

This figure shows the co-authorship network connecting the top 25 collaborators of Chris J. Eisley. A scholar is included among the top collaborators of Chris J. Eisley 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 Chris J. Eisley. Chris J. Eisley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Kommadath, Arun, Hua Bao, Igseo Choi, et al.. (2017). Genetic architecture of gene expression underlying variation in host response to porcine reproductive and respiratory syndrome virus infection. Scientific Reports. 7(1). 46203–46203. 24 indexed citations

2.

McErlean, Peter, Sergejs Berdnikovs, Sílvio Favoreto, et al.. (2014). Asthmatics with exacerbation during acute respiratory illness exhibit unique transcriptional signatures within the nasal mucosa. Genome Medicine. 6(1). 1–1. 111 indexed citations

3.

Eisley, Chris J., Suneel Kumar Onteru, Ole Madsen, et al.. (2014). Identification of species‐specific novel transcripts in pig reproductive tissues using RNA‐seq. Animal Genetics. 45(2). 198–204. 24 indexed citations

4.

Price, April E., Hong-Erh Liang, Brandon M. Sullivan, et al.. (2010). Systemically dispersed innate IL-13–expressing cells in type 2 immunity. Proceedings of the National Academy of Sciences. 107(25). 11489–11494. 902 indexed citations breakdown →

5.

Blagev, Denitza, Lorna Zlock, Rebecca Barbeau, et al.. (2010). MiR34 Family Members Are Upregulated During Airway Epithelial Cell Differentiation. A6443–A6443. 1 indexed citations

6.

Verhaeghe, Catherine, et al.. (2009). Distinct Roles of FOXA2 and FOXA3 in Allergic Airway Disease.. A6297–A6297. 2 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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