Stacy L. Mach

2.0k total citations · 2 hit papers
13 papers, 1.5k citations indexed

About

Stacy L. Mach is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Oncology. According to data from OpenAlex, Stacy L. Mach has authored 13 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 8 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Stacy L. Mach's work include Lung Cancer Treatments and Mutations (10 papers), Cancer Genomics and Diagnostics (8 papers) and Lung Cancer Diagnosis and Treatment (2 papers). Stacy L. Mach is often cited by papers focused on Lung Cancer Treatments and Mutations (10 papers), Cancer Genomics and Diagnostics (8 papers) and Lung Cancer Diagnosis and Treatment (2 papers). Stacy L. Mach collaborates with scholars based in United States and Italy. Stacy L. Mach's co-authors include Pasi A. Jänne, Geoffrey R. Oxnard, Cloud P. Paweletz, Allison O’Connell, Adrian G. Sacher, Suzanne E. Dahlberg, Yanan Kuang, Paul T. Kirschmeier, Ryan S. Alden and David M. Jackman and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and Oncotarget.

In The Last Decade

Stacy L. Mach

12 papers receiving 1.5k citations

Hit Papers

Noninvasive Detection of ... 2014 2026 2018 2022 2014 2016 100 200 300 400 500
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.

  1. Noninvasive Detection of Response and Resistance in EGFR -Mutant Lung Cancer Using Quantitative Next-Generation Genotyping of Cell-Free Plasma DNA
    2014 590 citations Geoffrey R. Oxnard, Cloud P. Paweletz et al. Clinical Cancer Research profile →
  2. Prospective Validation of Rapid Plasma Genotyping for the Detection ofEGFRandKRASMutations in Advanced Lung Cancer
    2016 432 citations Adrian G. Sacher, Cloud P. Paweletz et al. JAMA Oncology profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stacy L. Mach 1.1k 1.0k 664 456 233 13 1.5k
Allison O’Connell 933 0.9× 1.1k 1.0× 659 1.0× 448 1.0× 218 0.9× 9 1.4k
Ryan S. Alden 1.2k 1.1× 1.0k 1.0× 719 1.1× 457 1.0× 264 1.1× 14 1.5k
Audrey Didelot 516 0.5× 762 0.7× 626 0.9× 485 1.1× 319 1.4× 33 1.3k
Patricia Vasalos 562 0.5× 826 0.8× 515 0.8× 359 0.8× 301 1.3× 27 1.2k
Nicolas Pécuchet 600 0.6× 557 0.5× 612 0.9× 366 0.8× 139 0.6× 31 1.1k
A Piskorz 659 0.6× 1.1k 1.0× 547 0.8× 464 1.0× 264 1.1× 6 1.3k
AmirAli Talasaz 682 0.6× 970 0.9× 620 0.9× 312 0.7× 380 1.6× 13 1.2k
Han Han‐Zhang 710 0.7× 409 0.4× 672 1.0× 389 0.9× 240 1.0× 57 1.1k
Zishuo I. Hu 378 0.3× 415 0.4× 748 1.1× 217 0.5× 140 0.6× 12 1.2k
Fanny Rolet 289 0.3× 770 0.7× 406 0.6× 421 0.9× 300 1.3× 6 959

Countries citing papers authored by Stacy L. Mach

Since Specialization
Citations

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

Fields of papers citing papers by Stacy L. Mach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stacy L. Mach. 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 Stacy L. Mach. The network helps show where Stacy L. Mach may publish in the future.

Co-authorship network of co-authors of Stacy L. Mach

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

All Works

13 of 13 papers shown
1.
Awad, Mark M., Cristina Mastini, Rafael B. Blasco, et al.. (2017). Epitope mapping of spontaneous autoantibodies to anaplastic lymphoma kinase (ALK) in non-small cell lung cancer. Oncotarget. 8(54). 92265–92274. 18 indexed citations
2.
Redig, Amanda J., Marzia Capelletti, Suzanne E. Dahlberg, et al.. (2016). Clinical and Molecular Characteristics of NF1 -Mutant Lung Cancer. Clinical Cancer Research. 22(13). 3148–3156. 53 indexed citations
3.
Gitlitz, Barbara J., et al.. (2016). The genomics of young lung cancer.. Journal of Clinical Oncology. 34(15_suppl). 9083–9083. 5 indexed citations
4.
Sacher, Adrian G., Cloud P. Paweletz, Suzanne E. Dahlberg, et al.. (2016). Prospective Validation of Rapid Plasma Genotyping for the Detection ofEGFRandKRASMutations in Advanced Lung Cancer. JAMA Oncology. 2(8). 1014–1014. 432 indexed citations breakdown →
5.
Paweletz, Cloud P., Adrian G. Sacher, Ryan S. Alden, et al.. (2015). Bias-Corrected Targeted Next-Generation Sequencing for Rapid, Multiplexed Detection of Actionable Alterations in Cell-Free DNA from Advanced Lung Cancer Patients. Clinical Cancer Research. 22(4). 915–922. 177 indexed citations
6.
Sacher, Adrian G., Suzanne E. Dahlberg, Jennifer Heng, et al.. (2015). Association Between Younger Age and Targetable Genomic Alterations and Prognosis in Non–Small-Cell Lung Cancer. JAMA Oncology. 2(3). 313–313. 189 indexed citations
7.
Gitlitz, Barbara J., et al.. (2015). The genomics of Young Lung Cancer Study.. Journal of Clinical Oncology. 33(15_suppl). TPS11110–TPS11110. 3 indexed citations
8.
Sacher, Adrian G., Lynette M. Sholl, Stacy L. Mach, et al.. (2015). Feasibility of next-generation sequencing (NGS) for squamous non-small cell lung cancer (NSCLC): Implications for the NCI LungMAP study.. Journal of Clinical Oncology. 33(15_suppl). 8096–8096. 1 indexed citations
9.
Oxnard, Geoffrey R., Cloud P. Paweletz, Yanan Kuang, et al.. (2014). Noninvasive Detection of Response and Resistance in EGFR -Mutant Lung Cancer Using Quantitative Next-Generation Genotyping of Cell-Free Plasma DNA. Clinical Cancer Research. 20(6). 1698–1705. 590 indexed citations breakdown →
10.
Sacher, Adrian G., Geoffrey R. Oxnard, Stacy L. Mach, et al.. (2014). Prediction of lung cancer genotype noninvasively using droplet digital PCR (ddPCR) analysis of cell-free plasma DNA (cfDNA).. Journal of Clinical Oncology. 32(15_suppl). 8059–8059. 3 indexed citations
11.
Oxnard, Geoffrey R., Jennifer Heng, Stacy L. Mach, et al.. (2013). The spectrum of genomic alterations in young adult non-small cell lung cancer (NSCLC).. Journal of Clinical Oncology. 31(15_suppl). 8077–8077.
12.
Jackman, David M., Stacy L. Mach, Jennifer Heng, et al.. (2013). Pulsed dosing of erlotinib for central nervous system (CNS) progression in EGFR-mutant non-small cell lung cancer (NSCLC).. Journal of Clinical Oncology. 31(15_suppl). 8116–8116. 17 indexed citations
13.
Mach, Stacy L., et al.. (1990). [Chorangioma of the placenta].. PubMed. 112(20). 1309–13. 1 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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