P. Scott Pine
Impact in
- Virology top 10%
- HIV Research and Treatment
- Biophysics top 5%
Papers in
-
- Gene expression and cancer classification 9
- Molecular Biology Techniques and Applications 7
-
- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 4
- Co-authors
- James L. Weaver (11 shared papers)Jennifer McDaniel (5 shared papers)Marc Salit (6 shared papers)Carl G. Simon (4 shared papers)Kaushik Chatterjee (2 shared papers)Girish Kumar (2 shared papers)Adorján Aszalós (9 shared papers)Marian F. Young (1 shared paper)
- Journals
- BMC Biotechnology (5 papers)International Journal of Cancer (3 papers)Environmental Health Perspectives (3 papers)Biochemical Pharmacology (2 papers)Biophysical Journal (2 papers)
- Partner nations
- United StatesHungaryThailand
In The Last Decade
P. Scott Pine
35 papers receiving 969 citations
Peers
Comparison fields: 5 of 112
- Virology 57
- Biophysics 66
- Biomaterials 124
- Molecular Biology 427
- Drug Discovery 1
Countries citing papers authored by P. Scott Pine
This map shows the geographic impact of P. Scott Pine'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 P. Scott Pine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Scott Pine more than expected).
Fields of papers citing papers by P. Scott Pine
This network shows the impact of papers produced by P. Scott Pine. 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 P. Scott Pine. The network helps show where P. Scott Pine may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Scott Pine, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 255 | |
| 2 | 1993 | 86 | |
| 3 | 2007 | 71 | |
| 4 | 2004 | 63 | |
| 5 | 2004 | 61 | |
| 6 | 1992 | 55 | |
| 7 | 2014 | 34 | |
| 8 | 1992 | 34 | |
| 9 | 1990 | 32 | |
| 10 | 2006 | 30 | |
| 11 | 2016 | 25 | |
| 12 | 1992 | 23 | |
| 13 | 1996 | 23 | |
| 14 | 2000 | 21 | |
| 15 | 2005 | 20 | |
| 16 | 2018 | 20 | |
| 17 | 2016 | 19 | |
| 18 | 1990 | 17 | |
| 19 | 1997 | 17 | |
| 20 | 1992 | 16 |
About P. Scott Pine
P. Scott Pine is a scholar working on Molecular Biology, Immunology, Virology, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include Gene expression and cancer classification (9 papers), Molecular Biology Techniques and Applications (7 papers), HIV Research and Treatment (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), T-cell and B-cell Immunology (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Immune Cell Function and Interaction (4 papers) and 3D Printing in Biomedical Research (4 papers). The work is most often cited by research in Virology (57 citations), Biophysics (66 citations), Biomaterials (124 citations), Molecular Biology (427 citations) and Drug Discovery (1 citation). P. Scott Pine has collaborated with scholars based in United States, Hungary and Thailand. Frequent co-authors include James L. Weaver, Jennifer McDaniel, Marc Salit, Carl G. Simon, Kaushik Chatterjee, Girish Kumar, Adorján Aszalós, Marian F. Young, Christopher K. Tison and Karol L. Thompson. Their work appears in journals such as BMC Biotechnology, International Journal of Cancer, Environmental Health Perspectives, Biochemical Pharmacology and Biophysical Journal.
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.