Paul P. Trotta
- Immunology top 2%
- Immune Cell Function and Interaction 13
- Immune Response and Inflammation 10
- interferon and immune responses 7
- T-cell and B-cell Immunology 7
- Physiology top 2%
- Adenosine and Purinergic Signaling 11
- Parasitology top 2%
- Oncology top 5%
- Cytokine Signaling Pathways and Interactions 15
- Biochemistry top 5%
-
- Monoclonal and Polyclonal Antibodies Research 16
-
- Biochemical and Molecular Research 12
- Co-authors
- Tattanahalli L. NagabhushanMark R. WalterAlton MeisterS.E. EalickCharles E. BuggRudy H. HaschemeyerM. Earl BalisW.J. Cook
- Cited by
- ImmunologyPhysiologyParasitology
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (7 papers)Journal of Biological Chemistry (8 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Paul P. Trotta
75 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 119
- Immunology 1.4k
- Physiology 158
- Parasitology 213
- Oncology 824
- Biochemistry 159
Countries citing papers authored by Paul P. Trotta
This map shows the geographic impact of Paul P. Trotta'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 Paul P. Trotta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul P. Trotta more than expected).
Fields of papers citing papers by Paul P. Trotta
This network shows the impact of papers produced by Paul P. Trotta. 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 Paul P. Trotta. The network helps show where Paul P. Trotta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul P. Trotta, 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 | 1998 | 29 | |
| 2 | 1998 | 120 | |
| 3 | 1996 | 8 | |
| 4 | 1996 | 191 | |
| 5 | 1993 | 5 | |
| 6 | [Ascariasis of the common bile duct. An ultrasonographic case in Yemen]. | 1993 | 1 |
| 7 | 1993 | 26 | |
| 8 | 1992 | 117 | |
| 9 | 1992 | 298 | |
| 10 | 1991 | 168 | |
| 11 | 1991 | 22 | |
| 12 | 1991 | 358 | |
| 13 | 1991 | 9 | |
| 14 | 1991 | 21 | |
| 15 | 1988 | 6 | |
| 16 | 1988 | 6 | |
| 17 | 1988 | 3 | |
| 18 | In vivo effects of deoxycoformycin on mouse adenosine deaminase and nucleoside phosphorylase. Abstr. | 1979 | 1 |
| 19 | 1978 | 16 | |
| 20 | 1967 | 50 |
About Paul P. Trotta
Paul P. Trotta is a scholar working on Physiology, Immunology and Biochemistry, having authored 75 papers that have together received 3.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (16 papers), Cytokine Signaling Pathways and Interactions (15 papers), Immune Cell Function and Interaction (13 papers), Biochemical and Molecular Research (12 papers), Adenosine and Purinergic Signaling (11 papers), Immune Response and Inflammation (10 papers), interferon and immune responses (7 papers) and T-cell and B-cell Immunology (7 papers). The work is most often cited by research in Immunology (1.4k citations), Physiology (158 citations) and Parasitology (213 citations). Paul P. Trotta has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Tattanahalli L. Nagabhushan, Mark R. Walter, Alton Meister, S.E. Ealick, Charles E. Bugg, Rudy H. Haschemeyer, M. Earl Balis, W.J. Cook, Paul Reichert and William C. Gause. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.