John Philip

4.3k total citations
18 papers, 652 citations indexed

About

John Philip is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, John Philip has authored 18 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Hematology. Recurrent topics in John Philip's work include Advanced Proteomics Techniques and Applications (3 papers), Protein Degradation and Inhibitors (3 papers) and Peptidase Inhibition and Analysis (3 papers). John Philip is often cited by papers focused on Advanced Proteomics Techniques and Applications (3 papers), Protein Degradation and Inhibitors (3 papers) and Peptidase Inhibition and Analysis (3 papers). John Philip collaborates with scholars based in United States, Sweden and Italy. John Philip's co-authors include Paul Tempst, Kevin Lawlor, Josep Villanueva, Martin Fleisher, Alessandra Martorella, Richard J. Robbins, Yelena Y. Janjigian, Chris Fong, Viswatej Avutu and Melissa Lumish and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Clinical Cancer Research.

In The Last Decade

John Philip

18 papers receiving 638 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Philip United States 12 317 263 138 95 68 18 652
Lusia Sepiashvili Canada 10 160 0.5× 79 0.3× 45 0.3× 138 1.5× 47 0.7× 28 485
Yanqi He China 20 370 1.2× 190 0.7× 107 0.8× 71 0.7× 7 0.1× 47 875
Stefania Moz Italy 15 213 0.7× 87 0.3× 33 0.2× 91 1.0× 23 0.3× 38 545
Gaëlle Noé France 16 244 0.8× 192 0.7× 36 0.3× 46 0.5× 55 0.8× 26 615
Leonor Puchades‐Carrasco Spain 17 533 1.7× 80 0.3× 81 0.6× 89 0.9× 53 0.8× 34 843
Xiaochun Li United States 13 220 0.7× 560 2.1× 18 0.1× 27 0.3× 80 1.2× 55 1.2k
Marco H. Hofmann Austria 13 489 1.5× 301 1.1× 9 0.1× 96 1.0× 66 1.0× 41 953
Marta Centra Italy 13 317 1.0× 36 0.1× 60 0.4× 22 0.2× 66 1.0× 16 617
Irene van den Broek Netherlands 18 585 1.8× 84 0.3× 509 3.7× 15 0.2× 45 0.7× 30 1.0k
Sherry Fu United States 15 267 0.8× 172 0.7× 25 0.2× 53 0.6× 5 0.1× 21 1.2k

Countries citing papers authored by John Philip

Since Specialization
Citations

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

Fields of papers citing papers by John Philip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Philip. 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 John Philip. The network helps show where John Philip may publish in the future.

Co-authorship network of co-authors of John Philip

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

All Works

18 of 18 papers shown
1.
Shah, Neil J., et al.. (2024). Artificial Intelligence–Assisted Cancer Status Detection in Radiology Reports. Cancer Research Communications. 4(4). 1041–1049. 4 indexed citations
2.
Ardon, Orly, Eric A. Klein, Lorraine Corsale, et al.. (2023). Digital pathology operations at a tertiary cancer center: Infrastructure requirements and operational cost. Journal of Pathology Informatics. 14. 100318–100318. 11 indexed citations
3.
Shah, Neil J., Lauren A. Esposito, Chelsea Nichols, et al.. (2021). A comprehensive Memorial Sloan Kettering Cancer Center real-world data model: Core clinical data elements.. Journal of Clinical Oncology. 39(15_suppl). e18755–e18755. 2 indexed citations
4.
5.
Jee, Justin, Michael B. Foote, Melissa Lumish, et al.. (2020). Chemotherapy and COVID-19 Outcomes in Patients With Cancer. Journal of Clinical Oncology. 38(30). 3538–3546. 173 indexed citations
6.
Belenkaya, Rimma, et al.. (2020). Abstract PO-061: Data harmonization for COVID-19 and cancer research registries. Clinical Cancer Research. 26(18_Supplement). PO–61. 1 indexed citations
7.
McNeer, Nicole, John Philip, Heather Geiger, et al.. (2019). Genetic mechanisms of primary chemotherapy resistance in pediatric acute myeloid leukemia. Leukemia. 33(8). 1934–1943. 77 indexed citations
8.
Philip, John, et al.. (2019). Empowerment of Anganwadi Workers in Oral Health Care: A Kerala Experience. International Journal of Clinical Pediatric Dentistry. 12(4). 268–272. 2 indexed citations
9.
McNeer, Nicole, John Philip, Heather Geiger, et al.. (2019). Abstract 2870: Genetic mechanisms of primary chemotherapy resistance in pediatric acute myeloid leukemia. Tumor Biology. 2870–2870. 1 indexed citations
10.
Derenzini, Enrico, Patrizia Mondello, Tatiana Erazo, et al.. (2018). BET Inhibition-Induced GSK3β Feedback Enhances Lymphoma Vulnerability to PI3K Inhibitors. Cell Reports. 24(8). 2155–2166. 27 indexed citations
11.
Qiu, Weigang, Alla Polotskaia, Gu Xiao, et al.. (2017). Identification, validation, and targeting of the mutant p53-PARP-MCM chromatin axis in triple negative breast cancer. npj Breast Cancer. 3(1). 34 indexed citations
12.
Mondello, Patrizia, Enrico Derenzini, Zahra Asgari, et al.. (2017). Dual inhibition of histone deacetylases and phosphoinositide 3-kinase enhances therapeutic activity against B cell lymphoma. Oncotarget. 8(8). 14017–14028. 44 indexed citations
13.
Huang, Fang-Ke, Guoan Zhang, Kevin Lawlor, et al.. (2017). Deep Coverage of Global Protein Expression and Phosphorylation in Breast Tumor Cell Lines Using TMT 10-plex Isobaric Labeling. Journal of Proteome Research. 16(3). 1121–1132. 46 indexed citations
14.
Mondello, Patrizia, Enrico Derenzini, Zahra Asgari, et al.. (2016). Dual Inhibition of Histone Deacetylases and Phosphoinositide 3-Kinase Enhances Therapeutic Activity Against B Cell Lymphoma. Blood. 128(22). 293–293. 1 indexed citations
15.
Nazarian, Arpi, Kevin Lawlor, San San Yi, et al.. (2014). Inhibition of Circulating Dipeptidyl Peptidase 4 Activity in Patients with Metastatic Prostate Cancer. Molecular & Cellular Proteomics. 13(11). 3082–3096. 26 indexed citations
16.
Taylor, Jennifer M., Mariana Yaneva, Kevin Velasco, et al.. (2014). Aminopeptidase activities as prospective urinary biomarkers for bladder cancer. PROTEOMICS - CLINICAL APPLICATIONS. 8(5-6). 317–326. 11 indexed citations
17.
Villanueva, Josep, Alessandra Martorella, Kevin Lawlor, et al.. (2006). Serum Peptidome Patterns That Distinguish Metastatic Thyroid Carcinoma from Cancer-free Controls Are Unbiased by Gender and Age. Molecular & Cellular Proteomics. 5(10). 1840–1852. 143 indexed citations
18.
Geromanos, Scott, et al.. (1998). InJectionadaptableFineIonizationSource (‘JaFIS’) for continuous flow nano-electrospray. Rapid Communications in Mass Spectrometry. 12(9). 551–556. 28 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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