Ryan N. Porell

1.8k total citations
8 papers, 195 citations indexed

About

Ryan N. Porell is a scholar working on Molecular Biology, Cell Biology and Immunology and Allergy. According to data from OpenAlex, Ryan N. Porell has authored 8 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Immunology and Allergy. Recurrent topics in Ryan N. Porell's work include Glycosylation and Glycoproteins Research (4 papers), Proteoglycans and glycosaminoglycans research (3 papers) and Cell Adhesion Molecules Research (2 papers). Ryan N. Porell is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Proteoglycans and glycosaminoglycans research (3 papers) and Cell Adhesion Molecules Research (2 papers). Ryan N. Porell collaborates with scholars based in United States and Spain. Ryan N. Porell's co-authors include Anabel Gonzalez-Gil, Steve M. Fernandes, Ronald L. Schnaar, James C. Paulson, Yadong Wei, Katarina Vajn, Michael Tiemeyer, Kazuhiro Aoki, Corwin M. Nycholat and Bruce S. Bochner and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Allergy and Clinical Immunology and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Ryan N. Porell

7 papers receiving 195 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan N. Porell United States	5	139	106	59	43	33	8	195
Anabel Gonzalez-Gil United States	9	263 1.9×	219 2.1×	98 1.7×	59 1.4×	78 2.4×	10	394
Satendra Chauhan United States	8	163 1.2×	24 0.2×	28 0.5×	8 0.2×	11 0.3×	11	239
Leela Davies United States	3	115 0.8×	32 0.3×	27 0.5×	30 0.7×	10 0.3×	4	139
Tamieka Whyte United Kingdom	3	166 1.2×	21 0.2×	23 0.4×	54 1.3×	22 0.7×	4	199
Klaus Göbel Germany	5	128 0.9×	26 0.2×	18 0.3×	54 1.3×	9 0.3×	6	273
K. Hata Japan	4	195 1.4×	106 1.0×	22 0.4×	80 1.9×	45 1.4×	8	217
Henry Kurniawan Luxembourg	8	101 0.7×	59 0.6×	10 0.2×	27 0.6×	19 0.6×	11	217
Qiang Xiong China	9	136 1.0×	30 0.3×	27 0.5×	6 0.1×	12 0.4×	23	251
Maria Schröder Germany	8	207 1.5×	38 0.4×	55 0.9×	138 3.2×	219 6.6×	12	336
Daphne E.C. Boer Netherlands	6	127 0.9×	10 0.1×	37 0.6×	45 1.0×	90 2.7×	9	243

Countries citing papers authored by Ryan N. Porell

Since Specialization

Citations

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

Fields of papers citing papers by Ryan N. Porell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan N. Porell. 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 Ryan N. Porell. The network helps show where Ryan N. Porell may publish in the future.

Co-authorship network of co-authors of Ryan N. Porell

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

All Works

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8 of 8 papers shown

Pacheco-Velázquez, Silvia Cecilia, Carlota Oleaga, Bastian Ramms, et al.. (2025). LDL-Bound PCSK9 Has a Slower Clearance Kinetic and Higher Use for HSPGs Than Free-PCSK9—Brief Report. Arteriosclerosis Thrombosis and Vascular Biology. 45(9). 1565–1573. 1 indexed citations

Porell, Ryan N., Okhil K. Nag, Michael H. Stewart, et al.. (2025). Quantum Dot Erythropoietin Bioconjugates Enhance EPO-Receptor Clustering on Transfected Human Embryonic Kidney Cells. Bioconjugate Chemistry. 36(2). 160–168.

Painter, Chelsea D., Nehru Viji Sankaranarayanan, Thomas Mandel Clausen, et al.. (2024). Alteration of Neuropilin-1 and Heparan Sulfate Interaction Impairs Murine B16 Tumor Growth. ACS Chemical Biology. 19(8). 1820–1835. 2 indexed citations

Gonzalez-Gil, Anabel, Ryan N. Porell, Steve M. Fernandes, et al.. (2022). Human brain sialoglycan ligand for CD33, a microglial inhibitory Siglec implicated in Alzheimer’s disease. Journal of Biological Chemistry. 298(6). 101960–101960. 32 indexed citations

Porell, Ryan N., Logan Laubach, Bryan E. Thacker, et al.. (2022). Biologically Derived Neoproteoglycans for Profiling Protein–Glycosaminoglycan Interactions. ACS Chemical Biology. 17(6). 1534–1542. 5 indexed citations

Gonzalez-Gil, Anabel, Ryan N. Porell, Steve M. Fernandes, et al.. (2020). Isolation, identification, and characterization of the human airway ligand for the eosinophil and mast cell immunoinhibitory receptor Siglec-8. Journal of Allergy and Clinical Immunology. 147(4). 1442–1452. 27 indexed citations

Gonzalez-Gil, Anabel, Ryan N. Porell, Steve M. Fernandes, et al.. (2018). Sialylated keratan sulfate proteoglycans are Siglec-8 ligands in human airways. Glycobiology. 28(10). 786–801. 49 indexed citations

Gonzalez-Gil, Anabel, Yadong Wei, Steve M. Fernandes, et al.. (2017). Siglec-8 and Siglec-9 binding specificities and endogenous airway ligand distributions and properties. Glycobiology. 27(7). 657–668. 79 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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