Heather Metz

1.8k total citations · 1 hit paper
16 papers, 1.4k citations indexed

About

Heather Metz is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Heather Metz has authored 16 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 8 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Heather Metz's work include Cancer Immunotherapy and Biomarkers (5 papers), Immune cells in cancer (5 papers) and Immune Cell Function and Interaction (3 papers). Heather Metz is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), Immune cells in cancer (5 papers) and Immune Cell Function and Interaction (3 papers). Heather Metz collaborates with scholars based in United States, Austria and South Africa. Heather Metz's co-authors include A. McGarry Houghton, Julia Kargl, Stephanie Busch, Alyssa D. Gregory, Corrine R. Kliment, Mark L. Hanke, Hongbin Ji, Stuart J. Frank, Kwok‐Kin Wong and Stephanie R. Land and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Heather Metz

16 papers receiving 1.4k 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.

Neutrophil elastase–mediated degradation of IRS-1 accelerates lung tumor growth

2010 597 citations A. McGarry Houghton, Hongbin Ji et al. Nature Medicine profile →

Peers

Heather Metz

IMMUN

ONCOL

PRM

Véronique Secq France

Qin Luo China

Maxime Meylan France

Giuseppe Di Italy

Sun‐Hee Heo South Korea

Jason E. Toombs United States

Yutaka Kurebayashi Japan

Hongyong He China

Ilaria Marech Italy

Aiqin Gao China

Véronique Secq France

Heather Metz

278 ×0.4

IMMUN

431 ×0.7

ONCOL

177 ×0.5

PRM

448 ×1.4

251 ×1.3

Citations per year, relative to Heather Metz Heather Metz (= 1×) peers Véronique Secq

Countries citing papers authored by Heather Metz

Since Specialization

Citations

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

Fields of papers citing papers by Heather Metz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heather Metz

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

All Works

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16 of 16 papers shown

Metz, Heather, Ty Brender, Michael R. Comeau, et al.. (2020). 712 SBT6290, a systemically administered Nectin-4-directed TLR8 ImmunoTAC (TM) therapeutic, is a potent human myeloid cell agonist for the treatment of Nectin-4-expressing tumors. SHILAP Revista de lepidopterología. A427.1–A427. 2 indexed citations

Odegard, Valerie, Kara White Moyes, Ty Brender, et al.. (2020). Abstract PD4-09: Preclinical studies support the development of SBT6050, an anti-HER2 antibody conjugated to a potent TLR8 agonist, for treatment of moderate and high HER2-expressing tumors that lack pre-existing T cell infiltrate. Cancer Research. 80(4_Supplement). PD4–9. 1 indexed citations

Comeau, Michael R., Ty Brender, Heather Metz, et al.. (2020). Abstract 4537: SBT6050, a HER2-directed TLR8 ImmunoTAC™therapeutic, is a potent human myeloid cell agonist that provides opportunity for single agent clinical activity. Cancer Research. 80(16_Supplement). 4537–4537. 6 indexed citations

Metz, Heather, Ty Brender, Michael R. Comeau, et al.. (2020). SBT6050, a HER2-directed TLR8 therapeutic, as a systemically administered, tumor-targeted human myeloid cell agonist.. Journal of Clinical Oncology. 38(15_suppl). 3110–3110. 26 indexed citations

Warren, Sarah, Heather Metz, Kristi Barker, et al.. (2018). Abstract 3858: Validation of digital spatial profiling of key immuno-oncology targets for mouse FFPE preclinical models. Cancer Research. 78(13_Supplement). 3858–3858. 1 indexed citations

Merritt, Chris, Kristi Barker, Heather Metz, et al.. (2018). Analytical Validation of Digital Spatial Profiling - a novel approach for multiplexed characterization of protein distribution and abundance in FFPE tissue sections. The Journal of Immunology. 200(Supplement_1). 174.23–174.23. 2 indexed citations

Mark, Nicholas M., Julia Kargl, Stephanie Busch, et al.. (2017). Chronic Obstructive Pulmonary Disease Alters Immune Cell Composition and Immune Checkpoint Inhibitor Efficacy in Non–Small Cell Lung Cancer. American Journal of Respiratory and Critical Care Medicine. 197(3). 325–336. 82 indexed citations

Kargl, Julia, Stephanie Busch, Grace Yang, et al.. (2017). Neutrophils dominate the immune cell composition in non-small cell lung cancer. Nature Communications. 8(1). 14381–14381. 290 indexed citations

Busch, Stephanie, Mark L. Hanke, Julia Kargl, et al.. (2016). Lung Cancer Subtypes Generate Unique Immune Responses. The Journal of Immunology. 197(11). 4493–4503. 114 indexed citations

10.

Metz, Heather, Julia Kargl, Stephanie Busch, et al.. (2016). Insulin receptor substrate-1 deficiency drives a proinflammatory phenotype in KRAS mutant lung adenocarcinoma. Proceedings of the National Academy of Sciences. 113(31). 8795–8800. 15 indexed citations

11.

Kargl, Julia, et al.. (2016). Abstract C15: Neutrophil elastase (NE) induces epithelial-mesenchymal transition (EMT) via upregulation of inhibitor of DNA binding 1 (ID1). Cancer Research. 76(15_Supplement). C15–C15. 1 indexed citations

12.

Gregory, Alyssa D., Corrine R. Kliment, Heather Metz, et al.. (2015). Neutrophil elastase promotes myofibroblast differentiation in lung fibrosis. Journal of Leukocyte Biology. 98(2). 143–152. 159 indexed citations

13.

Metz, Heather, Stephanie Busch, Mark L. Hanke, et al.. (2014). Abstract 4860: Insulin receptor substrate-1 regulates immune cell content in lung adenocarcinoma. Cancer Research. 74(19_Supplement). 4860–4860. 1 indexed citations

14.

Houghton, A. McGarry, Hongbin Ji, Alyssa D. Gregory, et al.. (2010). Neutrophil elastase–mediated degradation of IRS-1 accelerates lung tumor growth. Nature Medicine. 16(2). 219–223. 597 indexed citations breakdown →

15.

Metz, Heather & A. McGarry Houghton. (2010). Insulin Receptor Substrate Regulation of Phosphoinositide 3-Kinase. Clinical Cancer Research. 17(2). 206–211. 55 indexed citations

16.

Diekmann, Odo & Heather Metz. (1989). Exploring linear chain trickery for physiologically structured populations. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 2(1). 3–14. 9 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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