Paul D. Simonson

604 total citations
19 papers, 348 citations indexed

About

Paul D. Simonson is a scholar working on Molecular Biology, Biophysics and Oncology. According to data from OpenAlex, Paul D. Simonson has authored 19 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Biophysics and 4 papers in Oncology. Recurrent topics in Paul D. Simonson's work include Single-cell and spatial transcriptomics (5 papers), Advanced Fluorescence Microscopy Techniques (5 papers) and Lymphoma Diagnosis and Treatment (3 papers). Paul D. Simonson is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Advanced Fluorescence Microscopy Techniques (5 papers) and Lymphoma Diagnosis and Treatment (3 papers). Paul D. Simonson collaborates with scholars based in United States, Canada and Germany. Paul D. Simonson's co-authors include Paul R. Selvin, Eli Rothenberg, Ruobing Zhang, Murat Baday, Sang Hak Lee, Paul R. Selvin, En Cai, Aaron Lee, David Wu and John Alexander and has published in prestigious journals such as Nano Letters, ACS Nano and Scientific Reports.

In The Last Decade

Paul D. Simonson

19 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paul D. Simonson United States	10	160	117	91	62	40	19	348
Lusheng Gu China	11	259 1.6×	124 1.1×	123 1.4×	183 3.0×	54 1.4×	21	440
Pedro Almada United Kingdom	6	168 1.1×	172 1.5×	71 0.8×	73 1.2×	27 0.7×	6	405
Linda F. van Driel Netherlands	5	163 1.0×	146 1.2×	23 0.3×	243 3.9×	36 0.9×	5	378
Guillaume Dupuis France	9	140 0.9×	80 0.7×	136 1.5×	47 0.8×	76 1.9×	18	409
Cesar Augusto Valades‐Cruz France	8	153 1.0×	162 1.4×	76 0.8×	55 0.9×	39 1.0×	15	378
Prashant Prabhat United States	10	460 2.9×	192 1.6×	282 3.1×	110 1.8×	109 2.7×	15	702
Christos Karathanasis Germany	11	153 1.0×	210 1.8×	37 0.4×	50 0.8×	20 0.5×	17	369
Jason M. Byars United States	8	299 1.9×	166 1.4×	160 1.8×	119 1.9×	61 1.5×	10	507
Nicolas Bourg France	9	260 1.6×	177 1.5×	192 2.1×	106 1.7×	100 2.5×	14	527
Anish R. Roy United States	10	124 0.8×	145 1.2×	57 0.6×	69 1.1×	53 1.3×	16	329

Countries citing papers authored by Paul D. Simonson

Since Specialization

Citations

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

Fields of papers citing papers by Paul D. Simonson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul D. Simonson. 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 Paul D. Simonson. The network helps show where Paul D. Simonson may publish in the future.

Co-authorship network of co-authors of Paul D. Simonson

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

All Works

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19 of 19 papers shown

Rauch, Daniel A., John C. S. Harding, Ancy Joseph, et al.. (2025). Single-Cell Transcriptomic Analysis of Kaposi Sarcoma. PLoS Pathogens. 21(4). e1012233–e1012233. 2 indexed citations

Dinalankara, Wikum, David P. Ng, Luigi Marchionni, & Paul D. Simonson. (2024). Comparison of three machine learning algorithms for classification of B‐cell neoplasms using clinical flow cytometry data. Cytometry Part B Clinical Cytometry. 106(4). 282–293. 4 indexed citations

Ng, David P., Paul D. Simonson, Attila Tárnok, et al.. (2024). Recommendations for using artificial intelligence in clinical flow cytometry. Cytometry Part B Clinical Cytometry. 106(4). 228–238. 10 indexed citations

Roboz, Gail J., John N. Allan, Jia Ruan, et al.. (2023). Angioimmunoblastic T‐cell lymphoma presenting with severe plasmacytosis mimicking plasma cell leukemia. American Journal of Hematology. 98(7). 1119–1126. 1 indexed citations

Simonson, Paul D., et al.. (2022). Tyramide-conjugated DNA barcodes enable signal amplification for multiparametric CODEX imaging. Communications Biology. 5(1). 627–627. 8 indexed citations

Patel, Sanjay S., et al.. (2022). Development of a generalizable UMAP-based approach for comparing clinical flow cytometry data with application to NPM1-mutated AML cohorts. American Journal of Clinical Pathology. 158(Supplement_1). S26–S27. 1 indexed citations

Simonson, Paul D., Yue Wu, David Wu, Jonathan R. Fromm, & Aaron Lee. (2021). De Novo Identification and Visualization of Important Cell Populations for Classic Hodgkin Lymphoma Using Flow Cytometry and Machine Learning. American Journal of Clinical Pathology. 156(6). 1092–1102. 13 indexed citations

Patel, Sanjay S., Julia T. Geyer, Joelle Racchumi, et al.. (2021). Comparison of Multiple Clinical Testing Modalities for Assessment of NPM1-Mutant AML. Frontiers in Oncology. 11. 701318–701318. 13 indexed citations

Nakamichi, Kazuo, Cecilia S. Lee, Aaron Lee, et al.. (2021). Hospitalization and mortality associated with SARS-CoV-2 viral clades in COVID-19. Scientific Reports. 11(1). 4802–4802. 41 indexed citations

10.

Simonson, Paul D., Aaron Lee, & David Wu. (2021). Potential for Process Improvement of Clinical Flow Cytometry by Incorporating Real-Time Automated Screening of Data to Expedite Addition of Antibody Panels. American Journal of Clinical Pathology. 157(3). 443–450. 10 indexed citations

11.

Simonson, Paul D., et al.. (2018). Characterization of bilirubin interference in three commonly used digoxin assays. Clinical Biochemistry. 63. 102–105. 2 indexed citations

12.

Liew, David, et al.. (2018). Macrophage activation syndrome in a patient with axial spondyloarthritis on adalimumab. Clinical Rheumatology. 38(2). 603–608. 8 indexed citations

13.

Bajema, Kristina L., Paul D. Simonson, Alexander L. Greninger, et al.. (2017). Acute Liver Failure Due to Echovirus 9 Associated With Persistent B-Cell Depletion From Rituximab. Open Forum Infectious Diseases. 4(3). ofx174–ofx174. 7 indexed citations

14.

Zhang, Ruobing, Gilbert O. Fruhwirth, Oana Coban, et al.. (2016). Probing the Heterogeneity of Protein Kinase Activation in Cells by Super-resolution Microscopy. ACS Nano. 11(1). 249–257. 15 indexed citations

15.

Simonson, Paul D., Eli Rothenberg, & Paul R. Selvin. (2013). Correction to Single-Molecule-Based Super-Resolution Images in the Presence of Multiple Fluorophores. Nano Letters. 13(3). 1366–1366. 1 indexed citations

16.

Lee, Sang Hak, Murat Baday, Paul D. Simonson, et al.. (2012). Using fixed fiduciary markers for stage drift correction. Optics Express. 20(11). 12177–12177. 70 indexed citations

17.

Zhang, Ruobing, Eli Rothenberg, Gilbert O. Fruhwirth, et al.. (2011). Two-Photon 3D FIONA of Individual Quantum Dots in an Aqueous Environment. Nano Letters. 11(10). 4074–4078. 37 indexed citations

18.

Simonson, Paul D., Eli Rothenberg, & Paul R. Selvin. (2011). Single-Molecule-Based Super-Resolution Images in the Presence of Multiple Fluorophores. Nano Letters. 11(11). 5090–5096. 72 indexed citations

19.

Simonson, Paul D., Hannah A. DeBerg, Pinghua Ge, et al.. (2010). Counting Bungarotoxin Binding Sites of Nicotinic Acetylcholine Receptors in Mammalian Cells with High Signal/Noise Ratios. Biophysical Journal. 99(10). L81–L83. 33 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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