Thomas P. Cujec
Impact in
- Virology top 1%
- HIV Research and Treatment
- Infectious Diseases top 10%
- HIV/AIDS drug development and treatment
Papers in
-
- RNA Research and Splicing 6
- RNA and protein synthesis mechanisms 4
- Glycosylation and Glycoproteins Research 2
- Fungal and yeast genetics research 2
- Virology 8
- HIV Research and Treatment 8
- Co-authors
- B. Matija Peterlin (8 shared papers)Koh Fujinaga (4 shared papers)Jon Meyer (2 shared papers)Hiroshi Okamoto (3 shared papers)Ran Taube (2 shared papers)Junmin Peng (2 shared papers)David H. Price (2 shared papers)David O. Morgan (1 shared paper)
- Journals
- Virology (3 papers)Journal of Virology (2 papers)FEBS Journal (1 paper)mAbs (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Thomas P. Cujec
16 papers receiving 839 citations
Peers
Comparison fields: 5 of 65
- Virology 481
- Infectious Diseases 177
- Molecular Biology 579
- Immunology 157
- Oncology 82
Countries citing papers authored by Thomas P. Cujec
This map shows the geographic impact of Thomas P. Cujec'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 Thomas P. Cujec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas P. Cujec more than expected).
Fields of papers citing papers by Thomas P. Cujec
This network shows the impact of papers produced by Thomas P. Cujec. 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 Thomas P. Cujec. The network helps show where Thomas P. Cujec may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas P. Cujec, 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 | 1997 | 177 | |
| 2 | 1998 | 144 | |
| 3 | 1999 | 114 | |
| 4 | 1997 | 106 | |
| 5 | 2008 | 78 | |
| 6 | 1999 | 71 | |
| 7 | 2002 | 47 | |
| 8 | 1994 | 33 | |
| 9 | 2000 | 33 | |
| 10 | 2016 | 23 | |
| 11 | 2000 | 13 | |
| 12 | 1996 | 9 | |
| 13 | 1996 | 7 | |
| 14 | 2020 | 4 | |
| 15 | 2000 | 3 | |
| 16 | 2022 | 2 |
About Thomas P. Cujec
Thomas P. Cujec is a scholar working on Molecular Biology, Virology, Infectious Diseases, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 864 indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), RNA Research and Splicing (6 papers), HIV/AIDS drug development and treatment (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), RNA and protein synthesis mechanisms (4 papers), Bacterial Genetics and Biotechnology (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Virology (481 citations), Infectious Diseases (177 citations), Molecular Biology (579 citations), Immunology (157 citations) and Oncology (82 citations). Thomas P. Cujec has collaborated with scholars based in United States and Japan. Frequent co-authors include B. Matija Peterlin, Koh Fujinaga, Jon Meyer, Hiroshi Okamoto, Ran Taube, Junmin Peng, David H. Price, David O. Morgan, Holly Chamberlin and Judit Garriga. Their work appears in journals such as Virology, Journal of Virology, FEBS Journal, mAbs and PLoS ONE.
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.