Benjamin P. Kellman

3.2k total citations
24 papers, 1.1k citations indexed

About

Benjamin P. Kellman is a scholar working on Molecular Biology, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Benjamin P. Kellman has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 4 papers in Infectious Diseases and 4 papers in Organic Chemistry. Recurrent topics in Benjamin P. Kellman's work include Glycosylation and Glycoproteins Research (10 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Carbohydrate Chemistry and Synthesis (4 papers). Benjamin P. Kellman is often cited by papers focused on Glycosylation and Glycoproteins Research (10 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Carbohydrate Chemistry and Synthesis (4 papers). Benjamin P. Kellman collaborates with scholars based in United States, Denmark and United Kingdom. Benjamin P. Kellman's co-authors include Nathan E. Lewis, Anne Richelle, Daniel C. Zielinski, Lars Bode, Jae Kim, Jiayi Hou, Arlin B. Blood, Aloka L. Patel, Chloe Autran and Elizabeth Asztalos and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Neuroscience.

In The Last Decade

Benjamin P. Kellman

24 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin P. Kellman United States 14 573 247 239 177 118 24 1.1k
Toshihiko Katoh Japan 21 969 1.7× 86 0.3× 528 2.2× 147 0.8× 194 1.6× 58 1.6k
Karolina S. Jabbar Sweden 6 867 1.5× 149 0.6× 127 0.5× 160 0.9× 304 2.6× 11 1.4k
Stéphan Bouet France 18 808 1.4× 186 0.8× 184 0.8× 108 0.6× 175 1.5× 25 1.3k
Tetsuya Ito Japan 22 582 1.0× 112 0.5× 66 0.3× 86 0.5× 224 1.9× 70 1.2k
Pan Qin China 21 379 0.7× 574 2.3× 161 0.7× 370 2.1× 236 2.0× 42 1.6k
Kanghong Hu China 18 393 0.7× 128 0.5× 42 0.2× 229 1.3× 90 0.8× 56 925
Jutarop Phetcharaburanin Thailand 17 442 0.8× 222 0.9× 59 0.2× 115 0.6× 42 0.4× 60 930
Prerna Bhargava United States 14 513 0.9× 117 0.5× 59 0.2× 315 1.8× 125 1.1× 17 1.3k
Virginia A. Pedicord United States 13 591 1.0× 200 0.8× 69 0.3× 82 0.5× 114 1.0× 18 1.2k
Iwona Bukowska‐Ośko Poland 15 215 0.4× 162 0.7× 124 0.5× 285 1.6× 79 0.7× 38 928

Countries citing papers authored by Benjamin P. Kellman

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin P. Kellman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin P. Kellman. 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 Benjamin P. Kellman. The network helps show where Benjamin P. Kellman may publish in the future.

Co-authorship network of co-authors of Benjamin P. Kellman

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

All Works

20 of 20 papers shown
1.
Jung, Wonyeong, Dansu Yuan, Benjamin P. Kellman, et al.. (2024). Boosting with adjuvanted SCB-2019 elicits superior Fcγ-receptor engagement driven by IgG3 to SARS-CoV-2 spike. npj Vaccines. 9(1). 7–7. 2 indexed citations
2.
Herman, Jonathan D., Caroline Atyeo, Claire Cook, et al.. (2023). Humoral immunity to an endemic coronavirus is associated with postacute sequelae of COVID-19 in individuals with rheumatic diseases. Science Translational Medicine. 15(712). eadf6598–eadf6598. 9 indexed citations
3.
Borland, David, Zerong Li, Benjamin P. Kellman, et al.. (2023). ImmCellFie: A user-friendly web-based platform to infer metabolic function from omics data. STAR Protocols. 4(1). 102069–102069. 3 indexed citations
4.
Zhang, Yujie, Sridevi Krishnan, Bokan Bao, et al.. (2023). Preparing glycomics data for robust statistical analysis with GlyCompareCT. STAR Protocols. 4(2). 102162–102162. 2 indexed citations
5.
Sasmal, Aniruddha, Zahra Khedri, Benjamin P. Kellman, et al.. (2022). Simple and practical sialoglycan encoding system reveals vast diversity in nature and identifies a universal sialoglycan-recognizing probe derived from AB5 toxin B subunits. Glycobiology. 32(12). 1101–1115. 5 indexed citations
6.
Kellman, Benjamin P., Anne Richelle, Jeong‐Yeh Yang, et al.. (2022). Elucidating Human Milk Oligosaccharide biosynthetic genes through network-based multi-omics integration. Nature Communications. 13(1). 2455–2455. 43 indexed citations
7.
Thacker, Bryan E., Benjamin P. Kellman, Nathan E. Lewis, et al.. (2022). Multiplex genome editing of mammalian cells for producing recombinant heparin. Metabolic Engineering. 70. 155–165. 10 indexed citations
8.
Bao, Bokan, Benjamin P. Kellman, Austin W.T. Chiang, et al.. (2021). Correcting for sparsity and interdependence in glycomics by accounting for glycan biosynthesis. Nature Communications. 12(1). 4988–4988. 26 indexed citations
9.
Kellman, Benjamin P., Hratch Baghdassarian, Tiziano Pramparo, et al.. (2021). Multiple freeze-thaw cycles lead to a loss of consistency in poly(A)-enriched RNA sequencing. BMC Genomics. 22(1). 69–69. 16 indexed citations
10.
Chiang, Austin W.T., Hratch Baghdassarian, Benjamin P. Kellman, et al.. (2021). Systems glycobiology for discovering drug targets, biomarkers, and rational designs for glyco-immunotherapy. Journal of Biomedical Science. 28(1). 50–50. 11 indexed citations
11.
Richelle, Anne, Benjamin P. Kellman, Alexander T. Wenzel, et al.. (2021). Model-based assessment of mammalian cell metabolic functionalities using omics data. Cell Reports Methods. 1(3). 100040–100040. 20 indexed citations
12.
Kellman, Benjamin P., Yujie Zhang, Austin W.T. Chiang, et al.. (2020). A consensus-based and readable extension of Li near Co de for R eaction R ules (LiCoRR). Beilstein Journal of Organic Chemistry. 16. 2645–2662. 9 indexed citations
13.
Weiss, Ryan J., Philipp N. Spahn, Alejandro Gómez Toledo, et al.. (2020). ZNF263 is a transcriptional regulator of heparin and heparan sulfate biosynthesis. Proceedings of the National Academy of Sciences. 117(17). 9311–9317. 28 indexed citations
14.
Zhao, Peng, Jeremy L. Praissman, Oliver C. Grant, et al.. (2020). Virus-Receptor Interactions of Glycosylated SARS-CoV-2 Spike and Human ACE2 Receptor. Cell Host & Microbe. 28(4). 586–601.e6. 297 indexed citations
15.
Kellman, Benjamin P. & Nathan E. Lewis. (2020). Big-Data Glycomics: Tools to Connect Glycan Biosynthesis to Extracellular Communication. Trends in Biochemical Sciences. 46(4). 284–300. 41 indexed citations
16.
Bao, Bokan, Benjamin P. Kellman, Austin W.T. Chiang, et al.. (2020). Correcting for sparsity and non‐independence in glycomic data through a systems biology framework. The FASEB Journal. 34(S1). 1–1. 1 indexed citations
17.
Chiang, Austin W.T., Anders Holmgaard Hansen, Johnny Arnsdorf, et al.. (2020). A Markov model of glycosylation elucidates isozyme specificity and glycosyltransferase interactions for glycoengineering. Current Research in Biotechnology. 2. 22–36. 20 indexed citations
18.
Chiang, Austin W.T., Shangzhong Li, Benjamin P. Kellman, et al.. (2019). Combating viral contaminants in CHO cells by engineering innate immunity. Scientific Reports. 9(1). 8827–8827. 15 indexed citations
19.
Hazel, Ashley, Benjamin P. Kellman, Jerry J. Fong, et al.. (2018). Evolution of the exclusively human pathogen Neisseria gonorrhoeae: Human‐specific engagement of immunoregulatory Siglecs. Evolutionary Applications. 12(2). 337–349. 37 indexed citations
20.
Richelle, Anne, et al.. (2017). A Systematic Evaluation of Methods for Tailoring Genome-Scale Metabolic Models. Cell Systems. 4(3). 318–329.e6. 153 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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