Philip Chaikin
- Neurology top 5%
- Physiology top 1%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Oncology
- Co-authors
- Akihisa MoriGerald RhodesMark StacyMark GuttmanLauri WellesJames W. TetrudGerald BatistPaul Tuite
- Topics
- Parkinson's Disease Mechanisms and Treatments (4 papers)Health Systems, Economic Evaluations, Quality of Life (4 papers)Statistical Methods in Clinical Trials (4 papers)
- Cited by
- PhysiologyNeurologyPharmacology
- Journals
- SHILAP Revista de lepidopterologíaNeurologyAnnals of Neurology
- Partner nations
- United StatesJapanCanada
In The Last Decade
Philip Chaikin
32 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Neurology 402
- Physiology 310
- Molecular Biology 284
- Cellular and Molecular Neuroscience 189
- Oncology 154
Countries citing papers authored by Philip Chaikin
This map shows the geographic impact of Philip Chaikin'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 Philip Chaikin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Chaikin more than expected).
Fields of papers citing papers by Philip Chaikin
This network shows the impact of papers produced by Philip Chaikin. 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 Philip Chaikin. The network helps show where Philip Chaikin may publish in the future.
Co-authorship network of co-authors of Philip Chaikin
This figure shows the co-authorship network connecting the top 25 collaborators of Philip Chaikin. A scholar is included among the top collaborators of Philip Chaikin 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 Philip Chaikin. Philip Chaikin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 91 | |
| 4 | 17 | |
| 5 | 20 | |
| 6 | 281 | |
| 7 | 5 | |
| 8 | 28 | |
| 9 | Alpha-1-acid glycoprotein as an independent predictor for treatment effects and a prognostic factor of survival in patients with non-small cell lung cancer treated with docetaxel. | 68 |
| 10 | 83 | |
| 11 | 133 | |
| 12 | 3 | |
| 13 | 27 | |
| 14 | 17 | |
| 15 | 27 | |
| 16 | 20 | |
| 17 | 16 | |
| 18 | 24 | |
| 19 | 3 | |
| 20 | 16 |
About Philip Chaikin
Philip Chaikin is a scholar working on Physiology, Geriatrics and Gerontology and Statistics and Probability, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Statistical Methods in Clinical Trials (4 papers). The work is most often cited by research in Physiology (310 citations), Neurology (402 citations) and Pharmacology (97 citations). Philip Chaikin has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Akihisa Mori, Gerald Rhodes, Mark Stacy, Mark Guttman, Lauri Welles, James W. Tetrud, Gerald Batist, Paul Tuite, Peter A. LeWitt and Christine E. Swenson. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurology and Annals of Neurology.
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.