Clarissa M. Koch

964 total citations
19 papers, 548 citations indexed

About

Clarissa M. Koch is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Clarissa M. Koch has authored 19 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Epidemiology and 5 papers in Immunology. Recurrent topics in Clarissa M. Koch's work include Influenza Virus Research Studies (7 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (7 papers) and Respiratory viral infections research (4 papers). Clarissa M. Koch is often cited by papers focused on Influenza Virus Research Studies (7 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (7 papers) and Respiratory viral infections research (4 papers). Clarissa M. Koch collaborates with scholars based in United States, United Kingdom and Netherlands. Clarissa M. Koch's co-authors include Lawreen H. Connors, Karen M. Ridge, Gloria Chan, Yuan Cheng, Bria M. Coates, John L. Berk, Frederick L. Ruberg, Marios Arvanitis, Dale K. Shumaker and Stephen Chiu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Oncogene.

In The Last Decade

Clarissa M. Koch

19 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clarissa M. Koch United States 11 311 113 103 65 61 19 548
Peyman Ezzati Canada 15 397 1.3× 104 0.9× 96 0.9× 55 0.8× 16 0.3× 24 672
Ao Cheng China 12 303 1.0× 175 1.5× 144 1.4× 47 0.7× 113 1.9× 27 710
Dingyuan Ma China 14 504 1.6× 84 0.7× 82 0.8× 34 0.5× 42 0.7× 55 775
Yifang Gao China 15 307 1.0× 377 3.3× 123 1.2× 153 2.4× 52 0.9× 45 879
Anna Wardowska Poland 16 196 0.6× 235 2.1× 70 0.7× 107 1.6× 21 0.3× 41 625
Zhixin Li China 14 176 0.6× 72 0.6× 102 1.0× 35 0.5× 14 0.2× 38 540
Jayakumar Jerobin Qatar 9 530 1.7× 109 1.0× 67 0.7× 42 0.6× 10 0.2× 25 820
Chenhui Zou United States 9 302 1.0× 105 0.9× 96 0.9× 166 2.6× 21 0.3× 17 809
Junyi Jiang China 16 595 1.9× 97 0.9× 123 1.2× 69 1.1× 19 0.3× 57 1.0k

Countries citing papers authored by Clarissa M. Koch

Since Specialization
Citations

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

Fields of papers citing papers by Clarissa M. Koch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clarissa M. Koch. 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 Clarissa M. Koch. The network helps show where Clarissa M. Koch may publish in the future.

Co-authorship network of co-authors of Clarissa M. Koch

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

All Works

19 of 19 papers shown
1.
Beukenhorst, Anna L., Jacopo Frallicciardi, Martin H. Koldijk, et al.. (2024). A pan-influenza monoclonal antibody neutralizes H5 strains and prophylactically protects through intranasal administration. Scientific Reports. 14(1). 3818–3818. 10 indexed citations
2.
Beukenhorst, Anna L., Clarissa M. Koch, Christoforos Hadjichrysanthou, et al.. (2023). SARS-CoV-2 elicits non-sterilizing immunity and evades vaccine-induced immunity: implications for future vaccination strategies. European Journal of Epidemiology. 38(3). 237–242. 12 indexed citations
3.
Santos, Gimena dos, Clarissa M. Koch, Kishore R. Anekalla, et al.. (2023). Vimentin is required for tumor progression and metastasis in a mouse model of non–small cell lung cancer. Oncogene. 42(25). 2074–2087. 44 indexed citations
4.
Hadjichrysanthou, Christoforos, Anna L. Beukenhorst, Clarissa M. Koch, et al.. (2022). Exploring the Role of Antiviral Nasal Sprays in the Control of Emerging Respiratory Infections in the Community. Infectious Diseases and Therapy. 11(6). 2287–2296. 6 indexed citations
5.
Koch, Clarissa M., Kishore R. Anekalla, Yuan‐Shih Hu, et al.. (2022). Influenza-Induced Activation of Recruited Alveolar Macrophages During the Early Inflammatory Phase Drives Lung Injury and Lethality. SSRN Electronic Journal. 1 indexed citations
6.
Koch, Clarissa M., Andrew D. Prigge, Kishore R. Anekalla, et al.. (2022). Cilia-related gene signature in the nasal mucosa correlates with disease severity and outcomes in critical respiratory syncytial virus bronchiolitis. Frontiers in Immunology. 13. 924792–924792. 2 indexed citations
7.
Beukenhorst, Anna L., Jacopo Frallicciardi, Clarissa M. Koch, et al.. (2022). The influenza hemagglutinin stem antibody CR9114: Evidence for a narrow evolutionary path towards universal protection. SHILAP Revista de lepidopterología. 2. 7 indexed citations
8.
Koch, Clarissa M., Andrew D. Prigge, Kishore R. Anekalla, et al.. (2021). Age-related Differences in the Nasal Mucosal Immune Response to SARS-CoV-2. American Journal of Respiratory Cell and Molecular Biology. 66(2). 206–222. 20 indexed citations
9.
Arvanitis, Marios, Clarissa M. Koch, John L. Berk, et al.. (2018). Use of Serum Transthyretin as a Prognostic Indicator and Predictor of Outcome in Cardiac Amyloid Disease Associated With Wild-Type Transthyretin. Circulation Heart Failure. 11(2). e004000–e004000. 61 indexed citations
10.
Koch, Clarissa M., Stephen Chiu, Mahzad Akbarpour, et al.. (2018). A Beginner’s Guide to Analysis of RNA Sequencing Data. American Journal of Respiratory Cell and Molecular Biology. 59(2). 145–157. 93 indexed citations
11.
Coates, Bria M., Clarissa M. Koch, Yuan Cheng, et al.. (2018). Inflammatory Monocytes Drive Influenza A Virus–Mediated Lung Injury in Juvenile Mice. The Journal of Immunology. 200(7). 2391–2404. 77 indexed citations
12.
13.
Chan, Gloria, Clarissa M. Koch, & Lawreen H. Connors. (2017). Serum Proteomic Variability Associated with Clinical Phenotype in Familial Transthyretin Amyloidosis (ATTRm). Journal of Proteome Research. 16(11). 4104–4112. 6 indexed citations
14.
15.
Coates, Bria M., Clarissa M. Koch, Yuan Cheng, et al.. (2017). Inhibition of the NOD-Like Receptor Protein 3 Inflammasome Is Protective in Juvenile Influenza A Virus Infection. Frontiers in Immunology. 8. 782–782. 51 indexed citations
16.
Chan, Gloria, Clarissa M. Koch, & Lawreen H. Connors. (2017). Blood Proteomic Profiling in Inherited (ATTRm) and Acquired (ATTRwt) Forms of Transthyretin-Associated Cardiac Amyloidosis. Journal of Proteome Research. 16(4). 1659–1668. 62 indexed citations
17.
Arvanitis, Marios, Clarissa M. Koch, Gloria Chan, et al.. (2017). Identification of Transthyretin Cardiac Amyloidosis Using Serum Retinol-Binding Protein 4 and a Clinical Prediction Model. JAMA Cardiology. 2(3). 305–305. 46 indexed citations
18.
Arvanitis, Marios, S. Simon, Gloria Chan, et al.. (2017). Retinol binding protein 4 (RBP4) concentration identifies V122I transthyretin cardiac amyloidosis. Amyloid. 24(sup1). 120–121. 14 indexed citations
19.
Leung, Amy, Shirley Nah, Whitney Reid, et al.. (2013). Induced Pluripotent Stem Cell Modeling of Multisystemic, Hereditary Transthyretin Amyloidosis. Stem Cell Reports. 1(5). 451–463. 34 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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