Benjamin C. Orsburn

1.5k total citations
47 papers, 813 citations indexed

About

Benjamin C. Orsburn is a scholar working on Molecular Biology, Spectroscopy and Infectious Diseases. According to data from OpenAlex, Benjamin C. Orsburn has authored 47 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 18 papers in Spectroscopy and 6 papers in Infectious Diseases. Recurrent topics in Benjamin C. Orsburn's work include Advanced Proteomics Techniques and Applications (18 papers), Mass Spectrometry Techniques and Applications (10 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Benjamin C. Orsburn is often cited by papers focused on Advanced Proteomics Techniques and Applications (18 papers), Mass Spectrometry Techniques and Applications (10 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Benjamin C. Orsburn collaborates with scholars based in United States, Israel and China. Benjamin C. Orsburn's co-authors include David L. Popham, Stephen B. Melville, Namandjé N. Bumpus, Yuting Yuan, Shichen Shen, Qiang Hu, Lei Nie, Xiaomeng Shen, Jun Qu and Chengjian Tu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Benjamin C. Orsburn

43 papers receiving 802 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 C. Orsburn United States 15 537 201 105 86 85 47 813
David Bouyssié France 18 844 1.6× 418 2.1× 61 0.6× 61 0.7× 124 1.5× 30 1.3k
Jeremy Carver United States 5 686 1.3× 313 1.6× 53 0.5× 60 0.7× 55 0.6× 6 916
Jorge Rosenfeld Argentina 7 755 1.4× 241 1.2× 65 0.6× 65 0.8× 98 1.2× 7 1.1k
Julio E. Celis Denmark 11 869 1.6× 313 1.6× 49 0.5× 86 1.0× 102 1.2× 12 1.1k
Timothy Nugent Ireland 17 845 1.6× 49 0.2× 153 1.5× 129 1.5× 86 1.0× 43 1.3k
Sadhna Phanse Canada 18 947 1.8× 92 0.5× 212 2.0× 40 0.5× 38 0.4× 45 1.2k
Paweł Sadowski Australia 13 595 1.1× 105 0.5× 124 1.2× 25 0.3× 88 1.0× 35 1.0k
Jana Alonso Spain 21 543 1.0× 63 0.3× 55 0.5× 52 0.6× 103 1.2× 37 982
Joost W. Gouw Netherlands 16 791 1.5× 557 2.8× 81 0.8× 47 0.5× 69 0.8× 23 1.1k
Harald Wegele Germany 19 1.5k 2.8× 141 0.7× 38 0.4× 79 0.9× 44 0.5× 28 1.7k

Countries citing papers authored by Benjamin C. Orsburn

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin C. Orsburn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin C. Orsburn

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin C. Orsburn. A scholar is included among the top collaborators of Benjamin C. Orsburn 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 C. Orsburn. Benjamin C. Orsburn 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.
Orsburn, Benjamin C., et al.. (2025). Alternative Ion-Pairing Modifiers Should Be Investigated in Low-Input and Single-Cell Proteomics. Journal of Proteome Research. 24(12). 6338–6343.
2.
Orsburn, Benjamin C., et al.. (2024). Tenofovir activation is diminished in the brain and liver of creatine kinase brain-type knockout mice. Drug Metabolism and Pharmacokinetics. 55. 100956–100956. 1 indexed citations
3.
Gonzalez-Gil, Anabel, et al.. (2024). Sialylated keratan sulfates on MUC5B are Siglec-8 ligands in the human esophagus. Glycobiology. 34(10). 5 indexed citations
4.
Orsburn, Benjamin C.. (2024). The Carrier Proteome Should Be Reassessed for Each Mass Analyzer Architecture. Journal of the American Society for Mass Spectrometry. 35(8). 1644–1646.
5.
6.
Orsburn, Benjamin C., et al.. (2024). The Human Ganglioside Interactome in Live Cells Revealed Using Clickable Photoaffinity Ganglioside Probes. Journal of the American Chemical Society. 146(26). 17801–17816. 10 indexed citations
7.
Orsburn, Benjamin C., et al.. (2024). A Multiplexed Single-Cell Proteomic Workflow Applicable to Drug Treatment Studies. Methods in molecular biology. 2823. 1–10. 1 indexed citations
8.
Orsburn, Benjamin C.. (2024). Analyzing Posttranslational Modifications in Single Cells. Methods in molecular biology. 2817. 145–156. 2 indexed citations
9.
Orsburn, Benjamin C.. (2023). Metabolomic, Proteomic, and Single-Cell Proteomic Analysis of Cancer Cells Treated with the KRAS G12D Inhibitor MRTX1133. Journal of Proteome Research. 22(12). 3703–3713. 7 indexed citations
10.
Kitase, Yuma, et al.. (2023). Chorioamnionitis disrupts erythropoietin and melatonin homeostasis through the placental-fetal-brain axis during critical developmental periods. Frontiers in Physiology. 14. 1201699–1201699. 1 indexed citations
11.
Orsburn, Benjamin C., et al.. (2022). Standard Flow Multiplexed Proteomics (SFloMPro)—An Accessible Alternative to NanoFlow Based Shotgun Proteomics. Proteomes. 10(1). 3–3. 3 indexed citations
12.
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
13.
Orsburn, Benjamin C., Namandjé N. Bumpus, Nandini Kundu, et al.. (2022). Human Cyclophilin B Nuclease Activity Revealed via Nucleic Acid‐Based Electrochemical Sensors. Angewandte Chemie International Edition. 61(45). e202211292–e202211292. 11 indexed citations
14.
Orsburn, Benjamin C., et al.. (2019). Visual Mass-Spec Share (vMS-Share): A New Public Web-Based Mass Spectrometry Visualization and Data Mining Repository. Journal of Proteomics & Bioinformatics. 12(2). 3 indexed citations
15.
Prakash, Amol, et al.. (2019). Detection and verification of 2.3 million cancer mutations in NCI60 cancer cell lines with a cloud search engine. Journal of Proteomics. 209. 103488–103488. 6 indexed citations
16.
Shen, Xiaomeng, Shichen Shen, Jun Li, et al.. (2018). IonStar enables high-precision, low-missing-data proteomics quantification in large biological cohorts. Proceedings of the National Academy of Sciences. 115(21). E4767–E4776. 62 indexed citations
17.
Pinheiro, Patricia, Murad Ghanim, M. Alexander, et al.. (2016). Host Plants Indirectly Influence Plant Virus Transmission by Altering Gut Cysteine Protease Activity of Aphid Vectors. Molecular & Cellular Proteomics. 16(4). S230–S243. 46 indexed citations
18.
Orsburn, Benjamin C., Luke H. Stockwin, & Dianne L. Newton. (2011). Challenges in plasma membrane phosphoproteomics. Expert Review of Proteomics. 8(4). 483–494. 19 indexed citations
19.
Orsburn, Benjamin C., Stephen B. Melville, & David L. Popham. (2009). EtfA catalyses the formation of dipicolinic acid inClostridium perfringens. Molecular Microbiology. 75(1). 178–186. 31 indexed citations
20.
Orsburn, Benjamin C., et al.. (2008). The SpmA/B and DacF proteins ofClostridium perfringensplay important roles in spore heat resistance. FEMS Microbiology Letters. 291(2). 188–194. 13 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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