John Philip
Impact in
- Oncology top 10%
- COVID-19 and healthcare impacts
- Peptidase Inhibition and Analysis
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
-
- Protein Degradation and Inhibitors 3
- Histone Deacetylase Inhibitors Research 2
- Oncology 6
- Peptidase Inhibition and Analysis 3
- Co-authors
- Paul Tempst (5 shared papers)Kevin Lawlor (3 shared papers)Josep Villanueva (2 shared papers)Richard J. Robbins (1 shared paper)Martin Fleisher (1 shared paper)Michael B. Foote (1 shared paper)Yonina R. Murciano‐Goroff (1 shared paper)Luis A. Díaz (1 shared paper)
- Journals
- Journal of Clinical Oncology (2 papers)Molecular & Cellular Proteomics (2 papers)PROTEOMICS - CLINICAL APPLICATIONS (1 paper)Cell Reports (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesItalySouth Africa
In The Last Decade
John Philip
18 papers receiving 654 citations
Peers
Comparison fields: 5 of 92
- Oncology 238
- Spectroscopy 129
- Hematology 59
- Molecular Biology 287
- Infectious Diseases 67
Countries citing papers authored by John Philip
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
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-authors
The 25 scholars most cited alongside John Philip, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 178 | |
| 2 | 2006 | 144 | |
| 3 | 2019 | 80 | |
| 4 | 2017 | 46 | |
| 5 | 2017 | 44 | |
| 6 | 2017 | 34 | |
| 7 | 1998 | 28 | |
| 8 | 2018 | 27 | |
| 9 | 2014 | 27 | |
| 10 | 2021 | 24 | |
| 11 | 2023 | 14 | |
| 12 | 2014 | 11 | |
| 13 | 2024 | 4 | |
| 14 | 2019 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2016 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2019 | 1 |
About John Philip
John Philip is a scholar working on Molecular Biology, Oncology, Hematology, Spectroscopy and Cancer Research, having authored 18 papers that have together received 668 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), Protein Degradation and Inhibitors (3 papers), Peptidase Inhibition and Analysis (3 papers), Cancer Genomics and Diagnostics (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Acute Myeloid Leukemia Research (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Oncology (238 citations), Spectroscopy (129 citations), Hematology (59 citations), Molecular Biology (287 citations) and Infectious Diseases (67 citations). John Philip has collaborated with scholars based in United States, Italy and South Africa. Frequent co-authors include Paul Tempst, Kevin Lawlor, Josep Villanueva, Richard J. Robbins, Martin Fleisher, Michael B. Foote, Yonina R. Murciano‐Goroff, Luis A. Díaz, Beatriz Wills and Rimma Belenkaya. Their work appears in journals such as Journal of Clinical Oncology, Molecular & Cellular Proteomics, PROTEOMICS - CLINICAL APPLICATIONS, Cell Reports and Clinical Cancer Research.
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.