Joseph Marcotrigiano
- Molecular Biology top 2%
- Hepatology top 0.5%
- Epidemiology top 2%
- Immunology top 2%
- Infectious Diseases top 2%
- Co-authors
- Charles M. RiceS.K. BurleyNahum SonenbergAnne‐Claude GingrasFuguo JiangMichael GaleTimothy L. TellinghuisenMatthew T. Miller
- Topics
- Hepatitis C virus research (27 papers)Monoclonal and Polyclonal Antibodies Research (16 papers)interferon and immune responses (14 papers)
- Cited by
- HepatologyVirologyImmunology
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Joseph Marcotrigiano
55 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 3.1k
- Hepatology 1.7k
- Epidemiology 1.6k
- Immunology 1.5k
- Infectious Diseases 706
Countries citing papers authored by Joseph Marcotrigiano
This map shows the geographic impact of Joseph Marcotrigiano'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 Joseph Marcotrigiano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Marcotrigiano more than expected).
Fields of papers citing papers by Joseph Marcotrigiano
This network shows the impact of papers produced by Joseph Marcotrigiano. 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 Joseph Marcotrigiano. The network helps show where Joseph Marcotrigiano may publish in the future.
Co-authorship network of co-authors of Joseph Marcotrigiano
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Marcotrigiano. A scholar is included among the top collaborators of Joseph Marcotrigiano 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 Joseph Marcotrigiano. Joseph Marcotrigiano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 19 | |
| 3 | 11 | |
| 4 | 30 | |
| 5 | 53 | |
| 6 | 5 | |
| 7 | 257 | |
| 8 | 24 | |
| 9 | 24 | |
| 10 | 218 | |
| 11 | 53 | |
| 12 | 127 | |
| 13 | 8 | |
| 14 | 353 | |
| 15 | 1 | |
| 16 | Innate immunity induced by composition-dependent RIG-I recognition of hepatitis C virus RNAbreakdown → | 576 |
| 17 | Structure of the zinc-binding domain of an essential component of the hepatitis C virus replicasebreakdown → | 370 |
| 18 | 321 | |
| 19 | 407 | |
| 20 | 114 |
About Joseph Marcotrigiano
Joseph Marcotrigiano is a scholar working on Hepatology, Virology and Immunology, having authored 56 papers that have together received 5.7k indexed citations. Recurring topics across this work include Hepatitis C virus research (27 papers), Monoclonal and Polyclonal Antibodies Research (16 papers) and interferon and immune responses (14 papers). The work is most often cited by research in Hepatology (1.7k citations), Virology (399 citations) and Immunology (1.5k citations). Joseph Marcotrigiano has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Charles M. Rice, S.K. Burley, Nahum Sonenberg, Anne‐Claude Gingras, Fuguo Jiang, Michael Gale, Timothy L. Tellinghuisen, Matthew T. Miller, David M. Owen and Takeshi Saito. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.