Pedro L. Baldoni

1.1k total citations · 1 hit paper
17 papers, 343 citations indexed

About

Pedro L. Baldoni is a scholar working on Molecular Biology, Virology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Pedro L. Baldoni has authored 17 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Virology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Pedro L. Baldoni's work include Statistical Methods and Bayesian Inference (3 papers), HIV Research and Treatment (3 papers) and Molecular Biology Techniques and Applications (3 papers). Pedro L. Baldoni is often cited by papers focused on Statistical Methods and Bayesian Inference (3 papers), HIV Research and Treatment (3 papers) and Molecular Biology Techniques and Applications (3 papers). Pedro L. Baldoni collaborates with scholars based in United States, Australia and India. Pedro L. Baldoni's co-authors include Gordon K. Smyth, Yunshun Chen, Lizhong Chen, Aaron T. L. Lun, Michael G. Hudgens, Nancie M. Archin, Katie R. Mollan, David M. Margolis, Gregory A. Talavera and Jianwen Cai and has published in prestigious journals such as Nucleic Acids Research, The EMBO Journal and Annals of Internal Medicine.

In The Last Decade

Pedro L. Baldoni

16 papers receiving 340 citations

Hit Papers

edgeR v4: powerful differential analysis of sequencing da... 2025 2026 2025 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedro L. Baldoni United States 10 93 73 56 55 42 17 343
Sorour Khateri Iran 10 96 1.0× 54 0.7× 43 0.8× 52 0.9× 8 0.2× 22 422
Marta Curriu Spain 10 60 0.6× 204 2.8× 69 1.2× 141 2.6× 18 0.4× 15 391
Danlei Mou China 10 56 0.6× 40 0.5× 181 3.2× 70 1.3× 9 0.2× 21 366
Jody Chou United States 4 184 2.0× 151 2.1× 72 1.3× 82 1.5× 40 1.0× 6 442
William Schwartzman United States 5 219 2.4× 11 0.2× 71 1.3× 31 0.6× 27 0.6× 12 393
Elena S. Kim United States 10 184 2.0× 62 0.8× 57 1.0× 56 1.0× 22 0.5× 14 653
Qingsheng Huang China 11 192 2.1× 16 0.2× 70 1.3× 19 0.3× 9 0.2× 32 381
Tiffany R. Butterfield United States 8 64 0.7× 90 1.2× 60 1.1× 96 1.7× 6 0.1× 12 278
Anna Sjödin Sweden 8 47 0.5× 15 0.2× 46 0.8× 13 0.2× 16 0.4× 12 265

Countries citing papers authored by Pedro L. Baldoni

Since Specialization
Citations

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

Fields of papers citing papers by Pedro L. Baldoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro L. Baldoni

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

All Works

17 of 17 papers shown
1.
Baldoni, Pedro L., Lizhong Chen, Mengbo Li, Yunshun Chen, & Gordon K. Smyth. (2025). Dividing out quantification uncertainty enables assessment of differential transcript usage with limma and edgeR. Nucleic Acids Research. 53(22).
2.
Chen, Yunshun, Lizhong Chen, Aaron T. L. Lun, Pedro L. Baldoni, & Gordon K. Smyth. (2025). edgeR v4: powerful differential analysis of sequencing data with expanded functionality and improved support for small counts and larger datasets. Nucleic Acids Research. 53(2). 96 indexed citations breakdown →
3.
Cai, Jianwen, Amber Pirzada, Pedro L. Baldoni, et al.. (2024). Cumulative All-Cause Mortality in Diverse Hispanic/Latino Adults. Annals of Internal Medicine. 177(3). 303–314. 3 indexed citations
4.
Baldoni, Pedro L., Lizhong Chen, & Gordon K. Smyth. (2024). Faster and more accurate assessment of differential transcript expression with Gibbs sampling and edgeR v4. NAR Genomics and Bioinformatics. 6(4). lqae151–lqae151. 3 indexed citations
5.
Lieschke, Elizabeth, Andrew J. Kueh, Georgia K. Atkin‐Smith, et al.. (2024). Mouse models to investigate in situ cell fate decisions induced by p53. The EMBO Journal. 43(19). 4406–4436. 1 indexed citations
6.
Baldoni, Pedro L., Yunshun Chen, Soroor Hediyeh-zadeh, et al.. (2023). Dividing out quantification uncertainty allows efficient assessment of differential transcript expression with edgeR. Nucleic Acids Research. 52(3). e13–e13. 10 indexed citations
7.
Cai, Jianwen, Donglin Zeng, Nicole M. Butera, et al.. (2023). Comparisons of statistical methods for handling attrition in a follow‐up visit with complex survey sampling. Statistics in Medicine. 42(11). 1641–1668. 3 indexed citations
8.
Dong, Xueyi, Mei R. M. Du, Quentin Gouil, et al.. (2023). Benchmarking long-read RNA-sequencing analysis tools using in silico mixtures. Nature Methods. 20(11). 1810–1821. 38 indexed citations
9.
Baldoni, Pedro L., Naim U. Rashid, & Joseph G. Ibrahim. (2021). Efficient detection and classification of epigenomic changes under multiple conditions. Biometrics. 78(3). 1141–1154. 1 indexed citations
10.
Baldoni, Pedro L., Daniela Sotres‐Alvarez, Thomas Lumley, & Pamela A. Shaw. (2021). On the Use of Regression Calibration in a Complex Sampling Design With Application to the Hispanic Community Health Study/Study of Latinos. American Journal of Epidemiology. 190(7). 1366–1376. 9 indexed citations
11.
Zhan, Yifan, Yuxia Zhang, Shengbo Zhang, et al.. (2021). Differential requirement for the Polycomb repressor complex 2 in dendritic cell and tissue-resident myeloid cell homeostasis. Science Immunology. 6(63). eabf7268–eabf7268. 6 indexed citations
12.
Elfassy, Tali, Adina Zeki Al Hazzouri, Jianwen Cai, et al.. (2020). Incidence of Hypertension Among US Hispanics/Latinos: The Hispanic Community Health Study/Study of Latinos, 2008 to 2017. Journal of the American Heart Association. 9(12). e015031–e015031. 41 indexed citations
13.
Kaplan, Robert C., Pedro L. Baldoni, Garrett Strizich, et al.. (2020). Current Smoking Raises Risk of Incident Hypertension: Hispanic Community Health Study–Study of Latinos. American Journal of Hypertension. 34(2). 190–197. 26 indexed citations
14.
Mollan, Katie R., et al.. (2020). Precise and accurate power of the rank-sum test for a continuous outcome. Journal of Biopharmaceutical Statistics. 30(4). 639–648. 21 indexed citations
15.
Archin, Nancie M., et al.. (2017). SLDAssay: A software package and web tool for analyzing limiting dilution assays. Journal of Immunological Methods. 450(25). 10–16. 15 indexed citations
16.
Clutton, Genevieve, Yinyan Xu, Pedro L. Baldoni, et al.. (2016). The differential short- and long-term effects of HIV-1 latency-reversing agents on T cell function. Scientific Reports. 6(1). 30749–30749. 51 indexed citations
17.
Lee, Sook-Kyung, Shuntai Zhou, Pedro L. Baldoni, et al.. (2016). Quantification of the Latent HIV-1 Reservoir Using Ultra Deep Sequencing and Primer ID in a Viral Outgrowth Assay. JAIDS Journal of Acquired Immune Deficiency Syndromes. 74(2). 221–228. 19 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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