Michelle Conway

1.9k total citations · 1 hit paper
6 papers, 1.4k citations indexed

About

Michelle Conway is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Epidemiology. According to data from OpenAlex, Michelle Conway has authored 6 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 3 papers in Physiology and 2 papers in Epidemiology. Recurrent topics in Michelle Conway's work include Asthma and respiratory diseases (3 papers), Neonatal Respiratory Health Research (2 papers) and Respiratory viral infections research (2 papers). Michelle Conway is often cited by papers focused on Asthma and respiratory diseases (3 papers), Neonatal Respiratory Health Research (2 papers) and Respiratory viral infections research (2 papers). Michelle Conway collaborates with scholars based in United States, India and South Korea. Michelle Conway's co-authors include Róbert Vajtai, Arava Leela Mohana Reddy, Jungjoon Yoo, Pulickel M. Ajayan, Vincent Meunier, Kaushik Balakrishnan, Bobby G. Sumpter, Anchal Srivastava, Jingsong Huang and Jin Yu and has published in prestigious journals such as Nano Letters, The Journal of Immunology and Journal of Allergy and Clinical Immunology.

In The Last Decade

Michelle Conway

6 papers receiving 1.3k 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.

Ultrathin Planar Graphene Supercapacitors

2011 1.1k citations Jungjoon Yoo, Kaushik Balakrishnan et al. Nano Letters profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michelle Conway United States	4	860	628	551	353	247	6	1.4k
Renzheng Chen China	17	265 0.3×	603 1.0×	919 1.7×	437 1.2×	49 0.2×	41	1.2k
Kwan Yee Cheung Hong Kong	16	186 0.2×	242 0.4×	351 0.6×	319 0.9×	103 0.4×	33	1.1k
Wei Peng Goh Singapore	22	146 0.2×	677 1.1×	445 0.8×	355 1.0×	296 1.2×	52	1.3k
Guanghui Cheng China	18	316 0.4×	682 1.1×	920 1.7×	255 0.7×	186 0.8×	39	1.5k
Swomitra K. Mohanty United States	21	259 0.3×	509 0.8×	334 0.6×	528 1.5×	156 0.6×	87	1.3k
Rajni Shukla India	20	316 0.4×	350 0.6×	673 1.2×	130 0.4×	178 0.7×	113	1.1k
A. Tawfik Egypt	19	563 0.7×	366 0.6×	724 1.3×	100 0.3×	77 0.3×	107	1.2k
Weifang Liu China	27	1.4k 1.6×	2.1k 3.4×	830 1.5×	73 0.2×	263 1.1×	109	2.8k
Meng‐Ju Li Taiwan	13	148 0.2×	241 0.4×	422 0.8×	358 1.0×	39 0.2×	29	932
Wenli Xu China	26	248 0.3×	912 1.5×	1.1k 1.9×	307 0.9×	55 0.2×	53	2.0k

Countries citing papers authored by Michelle Conway

Since Specialization

Citations

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

Fields of papers citing papers by Michelle Conway

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Conway

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Conway. A scholar is included among the top collaborators of Michelle Conway 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 Conway. Michelle Conway 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.

Francisco, David, Ying Wang, Craig P. Marshall, et al.. (2022). Small Peptide Derivatives Within the Carbohydrate Recognition Domain of SP-A2 Modulate Asthma Outcomes in Mouse Models and Human Cells. Frontiers in Immunology. 13. 900022–900022. 3 indexed citations

2.

Pivniouk, Vadim, Avery DeVries, Jennifer L. Uhrlaub, et al.. (2022). The OM-85 Bacterial Lysate Inhibits SARS-CoV-2 Infection of Epithelial Cells by Downregulating SARS-CoV-2 Receptor Expression. A3618–A3618. 1 indexed citations

3.

Pivniouk, Vadim, Avery DeVries, Jennifer L. Uhrlaub, et al.. (2021). The OM-85 bacterial lysate inhibits SARS-CoV-2 infection of epithelial cells by downregulating SARS-CoV-2 receptor expression. Journal of Allergy and Clinical Immunology. 149(3). 923–933.e6. 20 indexed citations

4.

Kimura, Hiroki, David Francisco, Michelle Conway, et al.. (2020). Type 2 inflammation modulates ACE2 and TMPRSS2 in airway epithelial cells. Journal of Allergy and Clinical Immunology. 146(1). 80–88.e8. 232 indexed citations

5.

Francisco, David, Ying Wang, Michelle Conway, et al.. (2020). Surfactant Protein-A Protects against IL-13–Induced Inflammation in Asthma. The Journal of Immunology. 204(10). 2829–2839. 25 indexed citations

6.

Yoo, Jungjoon, Kaushik Balakrishnan, Jingsong Huang, et al.. (2011). Ultrathin Planar Graphene Supercapacitors. Nano Letters. 11(4). 1423–1427. 1076 indexed citations breakdown →

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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