Arthur M. Baca

1.8k total citations · 2 hit papers
16 papers, 1.3k citations indexed

About

Arthur M. Baca is a scholar working on Cancer Research, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Arthur M. Baca has authored 16 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 5 papers in Molecular Biology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Arthur M. Baca's work include Cancer Genomics and Diagnostics (6 papers), Genetic factors in colorectal cancer (4 papers) and Lung Cancer Treatments and Mutations (4 papers). Arthur M. Baca is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), Genetic factors in colorectal cancer (4 papers) and Lung Cancer Treatments and Mutations (4 papers). Arthur M. Baca collaborates with scholars based in United States, Italy and South Korea. Arthur M. Baca's co-authors include Helmy Eltoukhy, Oliver A. Zill, Stefanie Mortimer, Richard B. Lanman, Scott Kopetz, Petros Nikolinakos, Dave S.�B. Hoon, René López, Eric A. Collisson and Stephen G. Divers and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Arthur M. Baca

15 papers receiving 1.3k citations

Hit Papers

Analytical and Clinical Validation of a Digital Sequencin... 2015 2026 2018 2022 2015 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arthur M. Baca United States 9 681 464 461 333 272 16 1.3k
William McCulloch United States 21 512 0.8× 226 0.5× 1.4k 2.9× 484 1.5× 419 1.5× 87 2.5k
Wen Yuan Chung United Kingdom 18 316 0.5× 191 0.4× 567 1.2× 289 0.9× 198 0.7× 60 1.5k
Yuh‐Pyng Sher Taiwan 24 373 0.5× 299 0.6× 778 1.7× 453 1.4× 191 0.7× 52 1.7k
David Friedland United States 20 155 0.2× 486 1.0× 545 1.2× 489 1.5× 228 0.8× 60 1.5k
Jesús González Bosquet United States 23 460 0.7× 227 0.5× 724 1.6× 392 1.2× 286 1.1× 100 1.9k
Michael J. Ellis United Kingdom 22 382 0.6× 547 1.2× 540 1.2× 361 1.1× 121 0.4× 61 1.8k
Le Tang China 17 562 0.8× 238 0.5× 851 1.8× 378 1.1× 83 0.3× 93 1.6k
Chiara Camisaschi Italy 18 354 0.5× 212 0.5× 956 2.1× 789 2.4× 375 1.4× 32 2.1k
Agnieszka Michael United Kingdom 23 363 0.5× 242 0.5× 918 2.0× 685 2.1× 154 0.6× 85 1.8k
Sachiko Matsuda Japan 20 243 0.4× 249 0.5× 413 0.9× 427 1.3× 98 0.4× 66 1.3k

Countries citing papers authored by Arthur M. Baca

Since Specialization
Citations

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

Fields of papers citing papers by Arthur M. Baca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arthur M. Baca

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

All Works

16 of 16 papers shown
1.
Artieri, Carlo G., Arthur M. Baca, Jordan E. Burke, et al.. (2020). Analytical validation of a tissue agnostic ctDNA MRD assay using tumor specific methylation and somatic variant profiles in early-stage CRC.. Journal of Clinical Oncology. 38(15_suppl). e15549–e15549. 4 indexed citations
2.
Hartwig, Anna, Carlo G. Artieri, Ariel Jaimovich, et al.. (2019). Analytical validation of a tumor-agnostic integrated multianalyte circulating tumor DNA (ctDNA) assay in early-stage cancer.. Journal of Clinical Oncology. 37(15_suppl). 3057–3057.
3.
Giacani, Lorenzo, Lawrence R. Bernstein, Giulia Ciccarese, et al.. (2019). Topical treatment with gallium maltolate reduces Treponema pallidum subsp. pertenue burden in primary experimental lesions in a rabbit model of yaws. PLoS neglected tropical diseases. 13(1). e0007076–e0007076. 8 indexed citations
4.
Zill, Oliver A., Kimberly C. Banks, Stephen R. Fairclough, et al.. (2018). The Landscape of Actionable Genomic Alterations in Cell-Free Circulating Tumor DNA from 21,807 Advanced Cancer Patients. Clinical Cancer Research. 24(15). 3528–3538. 271 indexed citations breakdown →
5.
Zill, Oliver A., Stefanie Mortimer, Kimberly C. Banks, et al.. (2016). Somatic genomic landscape of over 15,000 patients with advanced-stage cancer from clinical next-generation sequencing analysis of circulating tumor DNA.. Journal of Clinical Oncology. 34(15_suppl). LBA11501–LBA11501. 8 indexed citations
6.
Zill, Oliver A., Stefanie Mortimer, Kimberly C. Banks, et al.. (2016). Somatic genomic landscape of over 15,000 patients with advanced-stage cancer from clinical next-generation sequencing analysis of circulating tumor DNA.. Journal of Clinical Oncology. 34(18_suppl). LBA11501–LBA11501. 29 indexed citations
7.
Bril, Fernando, John J. Sninsky, Arthur M. Baca, et al.. (2015). Hepatic Steatosis and Insulin Resistance, But Not Steatohepatitis, Promote Atherogenic Dyslipidemia in NAFLD. The Journal of Clinical Endocrinology & Metabolism. 101(2). 644–652. 136 indexed citations
8.
Lanman, Richard B., Stefanie Mortimer, Oliver A. Zill, et al.. (2015). Analytical and Clinical Validation of a Digital Sequencing Panel for Quantitative, Highly Accurate Evaluation of Cell-Free Circulating Tumor DNA. PLoS ONE. 10(10). e0140712–e0140712. 470 indexed citations breakdown →
9.
Sninsky, John J., Charles M. Rowland, Arthur M. Baca, Michael P. Caulfield, & H. Robert Superko. (2013). Classification of LDL Phenotypes by 4 Methods of Determining Lipoprotein Particle Size. Journal of Investigative Medicine. 61(6). 942–949. 19 indexed citations
10.
Baca, Arthur M. & G. Russell Warnick. (2008). Estimation of LDL-Associated Apolipoprotein B from Measurements of Triglycerides and Total Apolipoprotein B. Clinical Chemistry. 54(5). 907–910. 6 indexed citations
11.
Mackey, Zachary B., Arthur M. Baca, Jeremy P. Mallari, et al.. (2006). Discovery of Trypanocidal Compounds by Whole Cell HTS of Trypanosoma brucei. Chemical Biology & Drug Design. 67(5). 355–363. 91 indexed citations
12.
Baca, Arthur M., et al.. (2000). Overcoming codon bias: A method for high-level overexpression of Plasmodium and other AT-rich parasite genes in Escherichia coli. International Journal for Parasitology. 30(2). 113–118. 119 indexed citations
13.
Baca, Arthur M., Rachada Sirawaraporn, S. Turley, Worachart Sirawaraporn, & Wim G. J. Hol. (2000). Crystal structure of Mycobacterium tuberculosis 6-hydroxymethyl-7,8-dihydropteroate synthase in complex with pterin monophosphate: new insight into the enzymatic mechanism and sulfa-drug action. Journal of Molecular Biology. 302(5). 1193–1212. 100 indexed citations
14.
Baca, Arthur M. & Wim G. J. Hol. (2000). Rapid communication Overcoming codon bias: A method for high-level overexpression of Plasmodium and other AT-rich parasite genes in Escherichia coli. 1 indexed citations
16.
Baca, Arthur M., et al.. (1994). Activation Barriers for Oxygen Diffusion in Polystyrene and Polycarbonate Glasses: Effects of Low Molecular Weight Additives. Macromolecules. 27(24). 7041–7048. 56 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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