Daniel M. Klass

2.3k total citations · 1 hit paper
19 papers, 1.2k citations indexed

About

Daniel M. Klass is a scholar working on Cancer Research, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Daniel M. Klass has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cancer Research, 10 papers in Molecular Biology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Daniel M. Klass's work include Cancer Genomics and Diagnostics (13 papers), Lung Cancer Treatments and Mutations (6 papers) and RNA modifications and cancer (4 papers). Daniel M. Klass is often cited by papers focused on Cancer Genomics and Diagnostics (13 papers), Lung Cancer Treatments and Mutations (6 papers) and RNA modifications and cancer (4 papers). Daniel M. Klass collaborates with scholars based in United States, Switzerland and Germany. Daniel M. Klass's co-authors include Patrick O. Brown, Maximilian Diehn, Alexander F. Lovejoy, Aaron M. Newman, David M. Kurtz, Jacob J. Chabon, Li Zhou, Chih Long Liu, Ash A. Alizadeh and Florian Scherer and has published in prestigious journals such as Nature Genetics, Journal of Clinical Oncology and Blood.

In The Last Decade

Daniel M. Klass

18 papers receiving 1.2k citations

Hit Papers

Integrated digital error suppression for improved detecti... 2016 2026 2019 2022 2016 200 400 600
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. Integrated digital error suppression for improved detection of circulating tumor DNA
    2016 716 citations Aaron M. Newman, Alexander F. Lovejoy et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel M. Klass United States 10 745 592 380 328 223 19 1.2k
Jong-Yeon Shin South Korea 17 529 0.7× 967 1.6× 622 1.6× 572 1.7× 266 1.2× 25 1.8k
Chara Papadaki Greece 20 435 0.6× 559 0.9× 257 0.7× 493 1.5× 113 0.5× 53 1.0k
Trude H. Ågesen Norway 16 348 0.5× 532 0.9× 250 0.7× 357 1.1× 314 1.4× 21 1.1k
Daniel Nicorici Finland 14 461 0.6× 761 1.3× 152 0.4× 187 0.6× 117 0.5× 28 1.1k
Gaku Kigawa Japan 21 276 0.4× 794 1.3× 195 0.5× 421 1.3× 234 1.0× 70 1.2k
Kentaro Tamaki Japan 19 445 0.6× 298 0.5× 181 0.5× 606 1.8× 147 0.7× 48 1.1k
Ana Cristina Vargas Australia 17 472 0.6× 637 1.1× 254 0.7× 376 1.1× 98 0.4× 36 1.1k
Yuanbin Ru United States 15 524 0.7× 846 1.4× 175 0.5× 357 1.1× 56 0.3× 17 1.3k
Rufo Rodríguez Spain 14 374 0.5× 890 1.5× 118 0.3× 489 1.5× 269 1.2× 21 1.3k
Shu Shimada Japan 22 604 0.8× 1.0k 1.7× 203 0.5× 354 1.1× 124 0.6× 43 1.4k

Countries citing papers authored by Daniel M. Klass

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Klass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel M. Klass

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Klass. A scholar is included among the top collaborators of Daniel M. Klass 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 Daniel M. Klass. Daniel M. Klass 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.
Lovejoy, Alexander F., et al.. (2022). Quantitative PCR–Based Method to Assess Cell-Free DNA Quality, Adjust Input Mass, and Improve Next-Generation Sequencing Assay Performance. Journal of Molecular Diagnostics. 24(6). 566–575. 8 indexed citations
2.
Visser, Leonie de, Daan van den Broek, Michel M. van den Heuvel, et al.. (2022). Biological and technical factors in the assessment of blood-based tumor mutational burden (bTMB) in patients with NSCLC. Journal for ImmunoTherapy of Cancer. 10(2). e004064–e004064. 17 indexed citations
3.
Noé, Johannes, Alex Lovejoy, Sai‐Hong Ignatius Ou, et al.. (2019). ALK Mutation Status Before and After Alectinib Treatment in Locally Advanced or Metastatic ALK-Positive NSCLC: Pooled Analysis of Two Prospective Trials. Journal of Thoracic Oncology. 15(4). 601–608. 40 indexed citations
4.
5.
Lovejoy, Alexander F., Hai Lin, David M. Kurtz, et al.. (2019). Changes in circulating tumor DNA levels are associated with treatment response and progression-free survival in relapse/refractory DLBCL subjects.. Journal of Clinical Oncology. 37(15_suppl). 7546–7546. 1 indexed citations
6.
7.
8.
Newman, Aaron M., Alexander F. Lovejoy, Daniel M. Klass, et al.. (2016). Integrated digital error suppression for improved detection of circulating tumor DNA. Nature Biotechnology. 34(5). 547–555. 716 indexed citations breakdown →
9.
Puig, Óscar, James Chih‐Hsin Yang, Sai‐Hong Ignatius Ou, et al.. (2016). Pooled mutation analysis for the NP28673 and NP28761 studies of alectinib in ALK+ non-small-cell lung cancer (NSCLC).. Journal of Clinical Oncology. 34(15_suppl). 9061–9061. 10 indexed citations
10.
Kurtz, David M., Florian Scherer, Aaron M. Newman, et al.. (2016). Prediction of therapeutic outcomes in DLBCL from circulating tumor DNA dynamics.. Journal of Clinical Oncology. 34(15_suppl). 7511–7511. 4 indexed citations
11.
Newman, Aaron M., Alexander F. Lovejoy, Daniel M. Klass, et al.. (2016). Integrated digital error suppression for noninvasive detection of circulating tumor DNA in NSCLC.. Journal of Clinical Oncology. 34(15_suppl). e20500–e20500. 1 indexed citations
12.
Jeong, Youngtae, Horace Rhee, Shanique Martin, et al.. (2015). Identification and genetic manipulation of human and mouse oesophageal stem cells. Gut. 65(7). 1077–1086. 28 indexed citations
13.
Scherer, Florian, David M. Kurtz, Aaron M. Newman, et al.. (2015). Noninvasive Genotyping and Assessment of Treatment Response in Diffuse Large B Cell Lymphoma. Blood. 126(23). 114–114. 9 indexed citations
14.
Kurtz, David M., Florian Scherer, Aaron M. Newman, et al.. (2015). Dynamic Noninvasive Genomic Monitoring for Outcome Prediction in Diffuse Large B-Cell Lymphoma. Blood. 126(23). 130–130. 7 indexed citations
15.
Klass, Daniel M., et al.. (2013). Whi3, an S. cerevisiae RNA-Binding Protein, Is a Component of Stress Granules That Regulates Levels of Its Target mRNAs. PLoS ONE. 8(12). e84060–e84060. 17 indexed citations
16.
Klass, Daniel M., Marion Scheibe, Falk Butter, et al.. (2013). Quantitative proteomic analysis reveals concurrent RNA–protein interactions and identifies new RNA-binding proteins in Saccharomyces cerevisiae. Genome Research. 23(6). 1028–1038. 49 indexed citations
17.
Salzman, Julia, Daniel M. Klass, & Patrick O. Brown. (2013). Improved Discovery of Molecular Interactions in Genome-Scale Data with Adaptive Model-Based Normalization. PLoS ONE. 8(1). e53930–e53930. 2 indexed citations
18.
Tsvetanova, Nikoleta G., Daniel M. Klass, Julia Salzman, & Patrick O. Brown. (2010). Proteome-Wide Search Reveals Unexpected RNA-Binding Proteins in Saccharomyces cerevisiae. PLoS ONE. 5(9). e12671–e12671. 133 indexed citations
19.
Clee, Susanne M., Brian S. Yandell, Mary E. Rabaglia, et al.. (2006). Positional cloning of Sorcs1, a type 2 diabetes quantitative trait locus. Nature Genetics. 38(6). 688–693. 133 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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