Jean‐Philip Truman
- Molecular Biology
- Immunology top 10%
- Oncology
- Cell Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Yusuf A. HannunMónica Garcı́a-BarrosAdriana Haimovitz‐FriedmanLina M. ObeidZvi FuksDominique CharronNuala MooneyRichard Kolesnick
- Topics
- Sphingolipid Metabolism and Signaling (17 papers)Endoplasmic Reticulum Stress and Disease (8 papers)Lipid Membrane Structure and Behavior (4 papers)
- Partner nations
- United StatesFranceEgypt
In The Last Decade
Jean‐Philip Truman
28 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 677
- Immunology 299
- Oncology 187
- Cell Biology 171
- Radiology, Nuclear Medicine and Imaging 115
Countries citing papers authored by Jean‐Philip Truman
This map shows the geographic impact of Jean‐Philip Truman'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 Jean‐Philip Truman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Philip Truman more than expected).
Fields of papers citing papers by Jean‐Philip Truman
This network shows the impact of papers produced by Jean‐Philip Truman. 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 Jean‐Philip Truman. The network helps show where Jean‐Philip Truman may publish in the future.
Co-authorship network of co-authors of Jean‐Philip Truman
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Philip Truman. A scholar is included among the top collaborators of Jean‐Philip Truman 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 Jean‐Philip Truman. Jean‐Philip Truman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 12 | |
| 3 | 26 | |
| 4 | 10 | |
| 5 | Oxidized Graphene Nanoribbons as a Delivery System for the Bioactive Sphingolipid Ceramide | 1 |
| 6 | 104 | |
| 7 | 21 | |
| 8 | 42 | |
| 9 | 35 | |
| 10 | 24 | |
| 11 | 28 | |
| 12 | 97 | |
| 13 | 93 | |
| 14 | 15 | |
| 15 | 4 | |
| 16 | 110 | |
| 17 | 50 | |
| 18 | Activation-induced cell death of human T-cell subsets is mediated by Fas and granzyme B but is independent of TNF-alpha. | 44 |
| 19 | 30 | |
| 20 | 90 |
About Jean‐Philip Truman
Jean‐Philip Truman is a scholar working on Aging, Cell Biology and Immunology, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (17 papers), Endoplasmic Reticulum Stress and Disease (8 papers) and Lipid Membrane Structure and Behavior (4 papers). The work is most often cited by research in Immunology (299 citations), Cell Biology (171 citations) and Molecular Biology (677 citations). Jean‐Philip Truman has collaborated with scholars based in United States, France and Egypt. Frequent co-authors include Yusuf A. Hannun, Mónica Garcı́a-Barros, Adriana Haimovitz‐Friedman, Lina M. Obeid, Zvi Fuks, Dominique Charron, Nuala Mooney, Richard Kolesnick, Ashley J. Snider and Alistair Noble. Their work appears in journals such as Journal of Biological Chemistry, Nature Medicine and Blood.
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.