Peter M. Sullivan

923 total citations
24 papers, 536 citations indexed

About

Peter M. Sullivan is a scholar working on Biomedical Engineering, Molecular Biology and Neurology. According to data from OpenAlex, Peter M. Sullivan has authored 24 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 4 papers in Molecular Biology and 4 papers in Neurology. Recurrent topics in Peter M. Sullivan's work include CAR-T cell therapy research (4 papers), Amyotrophic Lateral Sclerosis Research (4 papers) and Force Microscopy Techniques and Applications (3 papers). Peter M. Sullivan is often cited by papers focused on CAR-T cell therapy research (4 papers), Amyotrophic Lateral Sclerosis Research (4 papers) and Force Microscopy Techniques and Applications (3 papers). Peter M. Sullivan collaborates with scholars based in United States, Australia and China. Peter M. Sullivan's co-authors include Fenghua Hu, Xiaolai Zhou, Bernhard Wunderlich, Daniel H. Paushter, Marcus B. Smolka, Dong-Sung Kim, Yungang Lan, Lirong Sun, Scott A. Soefje and David Reinhart and has published in prestigious journals such as The Journal of Immunology, Brain and Cancer Research.

In The Last Decade

Peter M. Sullivan

22 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter M. Sullivan United States 13 232 129 104 90 79 24 536
Arpana Arjun United States 8 263 1.1× 257 2.0× 78 0.8× 119 1.3× 113 1.4× 11 619
Jana Hedrich Germany 11 48 0.2× 212 1.6× 44 0.4× 28 0.3× 18 0.2× 14 596
Jonathan J. Phillips United Kingdom 16 302 1.3× 386 3.0× 178 1.7× 47 0.5× 9 0.1× 34 852
Yanchun Zhao China 13 231 1.0× 976 7.6× 88 0.8× 57 0.6× 16 0.2× 29 1.3k
Yixin Pan China 19 440 1.9× 301 2.3× 33 0.3× 34 0.4× 12 0.2× 66 976
Swapnil Mehta United States 9 44 0.2× 169 1.3× 25 0.2× 43 0.5× 73 0.9× 17 566
Yu–Chen Lin Taiwan 12 26 0.1× 230 1.8× 97 0.9× 292 3.2× 22 0.3× 41 868
Fazel Shabanpoor Australia 23 58 0.3× 636 4.9× 62 0.6× 50 0.6× 148 1.9× 45 1.5k
Agnese Ramirez Italy 9 93 0.4× 300 2.3× 35 0.3× 12 0.1× 117 1.5× 12 432
Megan Rich United States 12 86 0.4× 126 1.0× 32 0.3× 36 0.4× 10 0.1× 18 439

Countries citing papers authored by Peter M. Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by Peter M. Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter M. Sullivan. 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 Peter M. Sullivan. The network helps show where Peter M. Sullivan may publish in the future.

Co-authorship network of co-authors of Peter M. Sullivan

This figure shows the co-authorship network connecting the top 25 collaborators of Peter M. Sullivan. A scholar is included among the top collaborators of Peter M. Sullivan 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 Peter M. Sullivan. Peter M. Sullivan 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.
Sullivan, Peter M., Wei Li, Virginia J. Hoglund, et al.. (2022). FGFR4-Targeted Chimeric Antigen Receptors Combined with Anti-Myeloid Polypharmacy Effectively Treat Orthotopic Rhabdomyosarcoma. Molecular Cancer Therapeutics. 21(10). 1608–1621. 13 indexed citations
2.
Sullivan, Peter M., Rajesh Kumar, Wei Li, et al.. (2021). Abstract 1545: Development of FGFR4-targeted chimeric antigen receptors (CARs) for the treatment of rhabdomyosarcoma. Cancer Research. 81(13_Supplement). 1545–1545.
3.
Zhang, Xuan, Feng Tian, Xin Zhou, et al.. (2020). Inactivation of TMEM106A promotes lipopolysaccharide-induced inflammation via the MAPK and NF-κB signaling pathways in macrophages. Clinical & Experimental Immunology. 203(1). 125–136. 15 indexed citations
4.
Feng, Tuancheng, Santiago Solé‐Domènech, Mohammed Ullah, et al.. (2020). A role of the frontotemporal lobar degeneration risk factor TMEM106B in myelination. Brain. 143(7). 2255–2271. 36 indexed citations
5.
Sullivan, Peter M., Adam Johnson, Jason K. Yokoyama, et al.. (2019). A novel preclinical immunocompetent CAR T cell mouse model for solid tumors. The Journal of Immunology. 202(1_Supplement). 71.16–71.16.
6.
Lan, Yungang, Peter M. Sullivan, & Fenghua Hu. (2019). SMCR8 negatively regulates AKT and MTORC1 signaling to modulate lysosome biogenesis and tissue homeostasis. Autophagy. 15(5). 871–885. 27 indexed citations
7.
Zhou, Xiaolai, Peter M. Sullivan, Daniel H. Paushter, & Fenghua Hu. (2018). The Interaction Between Progranulin with Sortilin and the Lysosome. Methods in molecular biology. 1806. 269–288. 5 indexed citations
8.
Zhou, Xiaolai, Peter M. Sullivan, Lirong Sun, & Fenghua Hu. (2017). The interaction between progranulin and prosaposin is mediated by granulins and the linker region between saposin B and C. Journal of Neurochemistry. 143(2). 236–243. 30 indexed citations
9.
Sullivan, Peter M., Xiaolai Zhou, Daniel H. Paushter, et al.. (2016). The ALS/FTLD associated protein C9orf72 associates with SMCR8 and WDR41 to regulate the autophagy-lysosome pathway. Acta Neuropathologica Communications. 4(1). 51–51. 224 indexed citations
10.
Sullivan, Peter M., William S. Asch, & Eric M. Tichy. (2015). Hyperuricemia and Gout in Solid-Organ Transplant: Update in Pharmacological Management. Progress in Transplantation. 25(3). 263–270. 7 indexed citations
11.
Sullivan, Peter M., et al.. (2014). Using lean methodology to improve productivity in a hospital oncology pharmacy. American Journal of Health-System Pharmacy. 71(17). 1491–1498. 30 indexed citations
12.
Sullivan, Peter M., et al.. (2012). Analytic characterization of biosimilars. American Journal of Health-System Pharmacy. 74(8). 568–579. 12 indexed citations
13.
Sullivan, Peter M. & Joel Smith. (2011). Transcendental Philosophy and Naturalism. Oxford University Press eBooks. 12 indexed citations
14.
Appenzoller, L., et al.. (2010). SU‐GG‐T‐277: Dosi Metric Comparison of the New Siemens 160 MLC and the Varian Millennium 120 MLC. Medical Physics. 37(6Part20). 3249–3249. 1 indexed citations
15.
Sullivan, Peter M., et al.. (2003). The epidemiology of knee and ankle injuries on Macquarie Island. Injury. 34(11). 842–846. 4 indexed citations
16.
Sullivan, Peter M. & D. J. Lugg. (1995). Telemedicine Between Australia and Antarctica: 1911-1995. SAE technical papers on CD-ROM/SAE technical paper series. 1. 3 indexed citations
17.
Sullivan, Peter M. & B. Wunderlich. (1964). Polymer microscopy. Journal of Polymer Science Part B Polymer Letters. 2(5). 537–540. 4 indexed citations
18.
Wunderlich, Bernhard, et al.. (1963). Thermodynamics of crystalline linear high polymers. III. Thermal breakdown of the crystalline lattice of polyethylene. Journal of Polymer Science Part A General Papers. 1(12). 3581–3596. 23 indexed citations
19.
Wunderlich, Bernhard & Peter M. Sullivan. (1962). Interference microscopy of crystalline high polymers. Determinations of the thickness of single crystals. Journal of Polymer Science. 56(163). 19–25. 24 indexed citations
20.
Wunderlich, Bernhard & Peter M. Sullivan. (1962). Interference microscopy of solution-grown polyethylene single crystals☆. Polymer. 3. 247–250. 8 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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