Katherine R. Thain

690 total citations · 1 hit paper
7 papers, 508 citations indexed

About

Katherine R. Thain is a scholar working on Surgery, Oncology and Molecular Biology. According to data from OpenAlex, Katherine R. Thain has authored 7 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Oncology and 1 paper in Molecular Biology. Recurrent topics in Katherine R. Thain's work include Lipoproteins and Cardiovascular Health (2 papers), Stress Responses and Cortisol (1 paper) and Inflammation biomarkers and pathways (1 paper). Katherine R. Thain is often cited by papers focused on Lipoproteins and Cardiovascular Health (2 papers), Stress Responses and Cortisol (1 paper) and Inflammation biomarkers and pathways (1 paper). Katherine R. Thain collaborates with scholars based in Canada, Japan and United Kingdom. Katherine R. Thain's co-authors include Taka‐aki Nakada, John H. Boyd, Keith R. Walley, James A. Russell, Simone A. Thair, Nuala J. Meyer, Christopher D. Fjell, Mihai Cîrstea, Jason D. Christie and Muredach P. Reilly and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, The FASEB Journal and CHEST Journal.

In The Last Decade

Katherine R. Thain

7 papers receiving 503 citations

Hit Papers

PCSK9 is a critical regulator of the innate immune respon... 2014 2026 2018 2022 2014 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katherine R. Thain Canada 5 222 151 145 91 80 7 508
Diederik F. van Wijk Netherlands 14 193 0.9× 171 1.1× 97 0.7× 108 1.2× 83 1.0× 22 586
Eduardo E. Montalvo‐Javé Mexico 13 402 1.8× 78 0.5× 141 1.0× 178 2.0× 114 1.4× 61 843
Ketan Sheth United States 10 174 0.8× 113 0.7× 88 0.6× 96 1.1× 79 1.0× 21 503
Salih Boğa Türkiye 12 167 0.8× 61 0.4× 141 1.0× 70 0.8× 41 0.5× 27 478
Chao Fan China 13 154 0.7× 150 1.0× 63 0.4× 163 1.8× 132 1.6× 26 592
Babak Banan United States 14 398 1.8× 208 1.4× 156 1.1× 165 1.8× 40 0.5× 23 790
Karen E. Todd United States 12 345 1.6× 178 1.2× 196 1.4× 85 0.9× 146 1.8× 15 706
M. Kruschewski Germany 15 340 1.5× 94 0.6× 52 0.4× 144 1.6× 171 2.1× 42 806
Jinming Chen China 13 136 0.6× 52 0.3× 77 0.5× 73 0.8× 115 1.4× 20 367
Hideko Ohama Japan 13 107 0.5× 101 0.7× 267 1.8× 121 1.3× 68 0.8× 53 659

Countries citing papers authored by Katherine R. Thain

Since Specialization
Citations

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

Fields of papers citing papers by Katherine R. Thain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine R. Thain. 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 Katherine R. Thain. The network helps show where Katherine R. Thain may publish in the future.

Co-authorship network of co-authors of Katherine R. Thain

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

All Works

7 of 7 papers shown
1.
Dickman, Christopher Td, Katherine R. Thain, Sheng Pan, et al.. (2019). Functional characterization of 3D contractile smooth muscle tissues generated using a unique microfluidic 3D bioprinting technology. The FASEB Journal. 34(1). 1652–1664. 42 indexed citations
2.
Walley, Keith R., Katherine R. Thain, James A. Russell, et al.. (2014). PCSK9 is a critical regulator of the innate immune response and septic shock outcome. Science Translational Medicine. 6(258). 258ra143–258ra143. 277 indexed citations breakdown →
3.
Thain, Katherine R., Taka‐aki Nakada, John H. Boyd, James A. Russell, & Keith R. Walley. (2012). A common polymorphism in the 5’ region of the human protein c gene binds USF1. Thrombosis Research. 130(3). 451–457. 2 indexed citations
4.
Thain, Katherine R., Taka‐aki Nakada, John H. Boyd, & Keith R. Walley. (2012). A Low Density Lipoprotein (LDL) Receptor Modulator, PCSK9, Is Associated With Increased Mortality In Septic Shock. A5999–A5999. 1 indexed citations
5.
Churg, Andrew, Don D. Sin, Sarah Bolton, et al.. (2011). Late Intervention with a Myeloperoxidase Inhibitor Stops Progression of Experimental Chronic Obstructive Pulmonary Disease. American Journal of Respiratory and Critical Care Medicine. 185(1). 34–43. 81 indexed citations
6.
Nakada, Taka‐aki, James A. Russell, John H. Boyd, et al.. (2011). Leucyl/Cystinyl Aminopeptidase Gene Variants in Septic Shock. CHEST Journal. 139(5). 1042–1049. 46 indexed citations
7.
Nakada, Taka‐aki, James A. Russell, John H. Boyd, et al.. (2009). β2-Adrenergic Receptor Gene Polymorphism Is Associated with Mortality in Septic Shock. American Journal of Respiratory and Critical Care Medicine. 181(2). 143–149. 59 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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