Bryan O’Sullivan-Murphy

1.2k total citations · 1 hit paper
16 papers, 888 citations indexed

About

Bryan O’Sullivan-Murphy is a scholar working on Cell Biology, Surgery and Molecular Biology. According to data from OpenAlex, Bryan O’Sullivan-Murphy has authored 16 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cell Biology, 5 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in Bryan O’Sullivan-Murphy's work include Endoplasmic Reticulum Stress and Disease (5 papers), Pancreatic function and diabetes (3 papers) and Atomic and Subatomic Physics Research (2 papers). Bryan O’Sullivan-Murphy is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (5 papers), Pancreatic function and diabetes (3 papers) and Atomic and Subatomic Physics Research (2 papers). Bryan O’Sullivan-Murphy collaborates with scholars based in United States, United Kingdom and Japan. Bryan O’Sullivan-Murphy's co-authors include Rita Bortell, Fumihiko Urano, Dale L. Greiner, Lihua Julie Zhu, Simin Lu, Takashi Hara, Mariko Hara, Emiko Hayashi, Christine M. Oslowski and Shinsuke Ishigaki and has published in prestigious journals such as PLoS ONE, Cell Metabolism and Clinical Cancer Research.

In The Last Decade

Bryan O’Sullivan-Murphy

15 papers receiving 878 citations

Hit Papers

Thioredoxin-Interacting Protein Mediates ER Stress-Induce... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bryan O’Sullivan-Murphy United States 11 447 335 245 189 134 16 888
Suzanne Duijst Netherlands 16 374 0.8× 118 0.4× 212 0.9× 238 1.3× 302 2.3× 33 1.1k
Rachel E. Carlisle Canada 14 277 0.6× 325 1.0× 105 0.4× 187 1.0× 44 0.3× 16 805
Annette Uittenbogaard United States 12 383 0.9× 177 0.5× 317 1.3× 83 0.4× 141 1.1× 16 1.2k
Tim Chiu Canada 12 677 1.5× 224 0.7× 268 1.1× 118 0.6× 49 0.4× 17 965
M. Cecilia Larocca Argentina 17 590 1.3× 164 0.5× 180 0.7× 93 0.5× 70 0.5× 36 883
Preetha Shridas United States 23 607 1.4× 91 0.3× 324 1.3× 105 0.6× 85 0.6× 39 1.1k
Young-Sil Yoon South Korea 16 507 1.1× 120 0.4× 200 0.8× 214 1.1× 53 0.4× 21 831
John C. Kermode United States 16 432 1.0× 153 0.5× 250 1.0× 61 0.3× 97 0.7× 40 1.2k
Sana Basseri Canada 6 197 0.4× 254 0.8× 125 0.5× 192 1.0× 69 0.5× 13 535
Lingdi Wang China 16 366 0.8× 58 0.2× 166 0.7× 171 0.9× 98 0.7× 24 742

Countries citing papers authored by Bryan O’Sullivan-Murphy

Since Specialization
Citations

This map shows the geographic impact of Bryan O’Sullivan-Murphy'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 Bryan O’Sullivan-Murphy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan O’Sullivan-Murphy more than expected).

Fields of papers citing papers by Bryan O’Sullivan-Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan O’Sullivan-Murphy. 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 Bryan O’Sullivan-Murphy. The network helps show where Bryan O’Sullivan-Murphy may publish in the future.

Co-authorship network of co-authors of Bryan O’Sullivan-Murphy

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

All Works

16 of 16 papers shown
1.
O’Sullivan-Murphy, Bryan, et al.. (2024). Development and application of a virtual imaging trial framework for longitudinal quantification of emphysema in CT. PubMed. 12925. 48–48. 1 indexed citations
2.
Schwartz, Fides R., Francesco Ria, Mojtaba Zarei, et al.. (2023). Image quality of photon counting and energy integrating chest CT – Prospective head-to-head comparison on same patients. European Journal of Radiology. 166. 111014–111014. 10 indexed citations
3.
Henry, Travis S., et al.. (2023). Portable Chest Radiography: Must-Know Findings and Mimics. Radiographics. 43(9). e220132–e220132.
4.
Bier, Elianna, Fawaz Alenezi, Ziyi Wang, et al.. (2022). Noninvasive diagnosis of pulmonary hypertension with hyperpolarised129Xe magnetic resonance imaging and spectroscopy. ERJ Open Research. 8(2). 35–2022. 11 indexed citations
5.
Washington, Lacey, Bryan O’Sullivan-Murphy, Jared D. Christensen, & H. Page McAdams. (2022). Radiographic Imaging of Community-Acquired Pneumonia. Radiologic Clinics of North America. 60(3). 371–381. 2 indexed citations
6.
O’Sullivan-Murphy, Bryan, Bastiaan Driehuys, & Joseph Mammarappallil. (2022). MR Imaging for the Evaluation of Diffuse Lung Disease. Radiologic Clinics of North America. 60(6). 1021–1032. 1 indexed citations
7.
O’Sullivan-Murphy, Bryan, et al.. (2019). Role of ultrasound in the evaluation of first-trimester pregnancies in the acute setting. ULTRASONOGRAPHY. 39(2). 178–189. 22 indexed citations
8.
O’Sullivan-Murphy, Bryan, et al.. (2018). Pancreaticobiliary Trauma: A Multimodality Imaging Update. Seminars in Ultrasound CT and MRI. 39(4). 355–362. 3 indexed citations
9.
Jung, Dae Young, Ning Pan, Randall H. Friedline, et al.. (2013). KLF15 Is a Molecular Link between Endoplasmic Reticulum Stress and Insulin Resistance. PLoS ONE. 8(10). e77851–e77851. 37 indexed citations
10.
Yang, Chaoxing, Philip diIorio, Agata Jurczyk, et al.. (2013). Pathological endoplasmic reticulum stress mediated by the IRE1 pathway contributes to pre-insulitic beta cell apoptosis in a virus-induced rat model of type 1 diabetes. Diabetologia. 56(12). 2638–2646. 37 indexed citations
11.
Oslowski, Christine M., Takashi Hara, Bryan O’Sullivan-Murphy, et al.. (2012). Thioredoxin-Interacting Protein Mediates ER Stress-Induced β Cell Death through Initiation of the Inflammasome. Cell Metabolism. 16(2). 265–273. 576 indexed citations breakdown →
12.
Alexandrov, Ilya, Maria Ivshina, Dae Young Jung, et al.. (2012). Cytoplasmic Polyadenylation Element Binding Protein Deficiency Stimulates PTEN and Stat3 mRNA Translation and Induces Hepatic Insulin Resistance. PLoS Genetics. 8(1). e1002457–e1002457. 46 indexed citations
13.
Jurczyk, Agata, Bryan O’Sullivan-Murphy, Erich A. Lidstone, et al.. (2010). A Novel Role for the Centrosomal Protein, Pericentrin, in Regulation of Insulin Secretory Vesicle Docking in Mouse Pancreatic β-cells. PLoS ONE. 5(7). e11812–e11812. 17 indexed citations
14.
O’Sullivan-Murphy, Bryan, Erich A. Lidstone, Chaoxing Yang, et al.. (2009). CHOP Mediates Endoplasmic Reticulum Stress-Induced Apoptosis in Gimap5-Deficient T Cells. PLoS ONE. 4(5). e5468–e5468. 47 indexed citations
15.
O’Sullivan-Murphy, Bryan, Erich A. Lidstone, Thomas B. Thornley, et al.. (2008). Protein kinase C signaling during T cell activation induces the endoplasmic reticulum stress response. Cell Stress and Chaperones. 13(4). 421–434. 29 indexed citations
16.
Dragnev, Konstantin H., Ian Pitha, Yan Ma, et al.. (2004). Specific Chemopreventive Agents Trigger Proteasomal Degradation of G1 Cyclins: Implications for Combination Therapy. Clinical Cancer Research. 10(7). 2570–2577. 49 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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