Philip Fernsten
- Epidemiology top 5%
- Immunology top 10%
- Microbiology top 2%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- George R. SiberRichard S. MetzgarMoon H. NahmXinhong YuMohinder SidhuKathrin U. JansenDavid CooperPeter R. Paradiso
- Topics
- Monoclonal and Polyclonal Antibodies Research (14 papers)Pneumonia and Respiratory Infections (8 papers)T-cell and B-cell Immunology (8 papers)
- Cited by
- MicrobiologyEpidemiologyImmunology
- Journals
- The Journal of Experimental MedicineJNCI Journal of the National Cancer InstituteClinical Infectious Diseases
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Philip Fernsten
25 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 73
- Epidemiology 657
- Immunology 275
- Microbiology 262
- Molecular Biology 201
- Radiology, Nuclear Medicine and Imaging 193
Countries citing papers authored by Philip Fernsten
This map shows the geographic impact of Philip Fernsten'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 Fernsten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Fernsten more than expected).
Fields of papers citing papers by Philip Fernsten
This network shows the impact of papers produced by Philip Fernsten. 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 Fernsten. The network helps show where Philip Fernsten may publish in the future.
Co-authorship network of co-authors of Philip Fernsten
This figure shows the co-authorship network connecting the top 25 collaborators of Philip Fernsten. A scholar is included among the top collaborators of Philip Fernsten 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 Fernsten. Philip Fernsten is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 19 | |
| 4 | 191 | |
| 5 | 199 | |
| 6 | 5 | |
| 7 | 278 | |
| 8 | 4 | |
| 9 | 8 | |
| 10 | 12 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 43 | |
| 15 | 7 | |
| 16 | Serological mapping of the TAG-72 tumor-associated antigen using 19 distinct monoclonal antibodies. | 38 |
| 17 | Characterization of the shed form of the human tumor-associated glycoprotein (TAG-72) from serous effusions of patients with different types of carcinomas. | 18 |
| 18 | 25 | |
| 19 | 1 | |
| 20 | 60 |
About Philip Fernsten
Philip Fernsten is a scholar working on Microbiology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (14 papers), Pneumonia and Respiratory Infections (8 papers) and T-cell and B-cell Immunology (8 papers). The work is most often cited by research in Microbiology (262 citations), Epidemiology (657 citations) and Immunology (275 citations). Philip Fernsten has collaborated with scholars based in United States, Germany and France. Frequent co-authors include George R. Siber, Richard S. Metzgar, Moon H. Nahm, Xinhong Yu, Mohinder Sidhu, Kathrin U. Jansen, David Cooper, Peter R. Paradiso, Keith P. Klugman and Shabir A. Madhi. Their work appears in journals such as The Journal of Experimental Medicine, JNCI Journal of the National Cancer Institute and Clinical Infectious Diseases.
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.