Michelle E. Clay

571 total citations
9 papers, 463 citations indexed

About

Michelle E. Clay is a scholar working on Immunology, Epidemiology and Molecular Biology. According to data from OpenAlex, Michelle E. Clay has authored 9 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Epidemiology and 4 papers in Molecular Biology. Recurrent topics in Michelle E. Clay's work include Influenza Virus Research Studies (4 papers), Immune Response and Inflammation (4 papers) and interferon and immune responses (3 papers). Michelle E. Clay is often cited by papers focused on Influenza Virus Research Studies (4 papers), Immune Response and Inflammation (4 papers) and interferon and immune responses (3 papers). Michelle E. Clay collaborates with scholars based in United States and Canada. Michelle E. Clay's co-authors include John F. Alcorn, Kevin J. McHugh, Keven M. Robinson, Sivanarayana Mandalapu, Richard I. Enelow, Benjamin Lee, Erich V. Scheller, Jay K. Kolls, Helen E. Rich and Yvonne R. Chan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Journal of Bacteriology.

In The Last Decade

Michelle E. Clay

9 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michelle E. Clay United States	8	225	225	145	73	68	9	463
John G. Rino United States	10	242 1.1×	305 1.4×	109 0.8×	71 1.0×	183 2.7×	10	707
Maria Carollo Italy	15	219 1.0×	113 0.5×	85 0.6×	105 1.4×	36 0.5×	31	498
R.A. McDonald United States	7	164 0.7×	108 0.5×	205 1.4×	191 2.6×	123 1.8×	7	576
Lisa N. Henning United States	12	75 0.3×	111 0.5×	193 1.3×	75 1.0×	118 1.7×	23	442
Ann-Charlotte Lundstedt Sweden	6	258 1.1×	127 0.6×	106 0.7×	24 0.3×	31 0.5×	6	433
Diane Barbier France	5	118 0.5×	91 0.4×	93 0.6×	37 0.5×	112 1.6×	5	333
Chiau‐Jing Jung Taiwan	11	183 0.8×	130 0.6×	142 1.0×	119 1.6×	29 0.4×	22	453
Kipyegon Kitur United States	5	74 0.3×	219 1.0×	320 2.2×	123 1.7×	61 0.9×	7	500
Patrik Nyberg Sweden	6	109 0.5×	151 0.7×	100 0.7×	109 1.5×	23 0.3×	10	451

Countries citing papers authored by Michelle E. Clay

Since Specialization

Citations

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

Fields of papers citing papers by Michelle E. Clay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle E. Clay

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

All Works

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9 of 9 papers shown

Clay, Michelle E., John H. Hammond, Fangfang Zhong, et al.. (2020). Pseudomonas aeruginosa lasR mutant fitness in microoxia is supported by an Anr-regulated oxygen-binding hemerythrin. Proceedings of the National Academy of Sciences. 117(6). 3167–3173. 37 indexed citations

Harty, Colleen E., Dorival Martins, Dallas L. Mould, et al.. (2019). Ethanol Stimulates Trehalose Production through a SpoT-DksA-AlgU-Dependent Pathway in Pseudomonas aeruginosa. Journal of Bacteriology. 201(12). 19 indexed citations

Gopal, Radha, Benjamin Lee, Kevin J. McHugh, et al.. (2018). STAT2 Signaling Regulates Macrophage Phenotype During Influenza and Bacterial Super-Infection. Frontiers in Immunology. 9. 2151–2151. 49 indexed citations

Robinson, Keven M., Michelle E. Clay, Kevin J. McHugh, et al.. (2018). The inflammasome potentiates influenza/Staphylococcus aureus superinfection in mice. JCI Insight. 3(7). 41 indexed citations

Pociask, Derek, Keven M. Robinson, Kong Chen, et al.. (2017). Epigenetic and Transcriptomic Regulation of Lung Repair during Recovery from Influenza Infection. American Journal Of Pathology. 187(4). 851–863. 51 indexed citations

Ramanan, Kavita, et al.. (2017). Novel protective mechanism for interleukin-33 at the mucosal barrier during influenza-associated bacterial superinfection. Mucosal Immunology. 11(1). 199–208. 42 indexed citations

Gopal, Radha, Benjamin Lee, Kevin J. McHugh, et al.. (2017). STAT2-mediated regulation of Macrophage Phenotype during Influenza and Bacterial Super-infection. The Journal of Immunology. 198(Supplement_1). 153.15–153.15. 1 indexed citations

Lee, Benjamin, Keven M. Robinson, Kevin J. McHugh, et al.. (2015). Influenza-induced type I interferon enhances susceptibility to gram-negative and gram-positive bacterial pneumonia in mice. American Journal of Physiology-Lung Cellular and Molecular Physiology. 309(2). L158–L167. 113 indexed citations

Robinson, Keven M., Kevin J. McHugh, Sivanarayana Mandalapu, et al.. (2013). Influenza A Virus Exacerbates Staphylococcus aureus Pneumonia in Mice by Attenuating Antimicrobial Peptide Production. The Journal of Infectious Diseases. 209(6). 865–875. 110 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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