Robert I. Scheinman
- Cancer Research top 2%
- NF-κB Signaling Pathways 16
- Immunology top 2%
- Complement system in diseases 14
- Immune Response and Inflammation 8
- Immune Cell Function and Interaction 6
- Molecular Biology top 5%
- RNA Interference and Gene Delivery 5
- Oncology top 5%
- Cytokine Signaling Pathways and Interactions 9
- Genetics top 5%
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- Monoclonal and Polyclonal Antibodies Research 6
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- Cell Adhesion Molecules Research 6
- Co-authors
- Albert S. BaldwinAmer A. BegJohn A. CidlowskiChristine M. JewellAntonio GualbertoC A RosenSteven M. RubenStephen Haskill
- Journals
- The Journal of Immunology (5 papers)Journal of Biological Chemistry (4 papers)Journal of Controlled Release (3 papers)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Robert I. Scheinman
58 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Cancer Research 1.0k
- Immunology 1.3k
- Molecular Biology 1.6k
- Oncology 583
- Genetics 525
Countries citing papers authored by Robert I. Scheinman
This map shows the geographic impact of Robert I. Scheinman'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 Robert I. Scheinman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert I. Scheinman more than expected).
Fields of papers citing papers by Robert I. Scheinman
This network shows the impact of papers produced by Robert I. Scheinman. 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 Robert I. Scheinman. The network helps show where Robert I. Scheinman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert I. Scheinman, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 9 | |
| 5 | 2023 | 26 | |
| 6 | 2022 | 8 | |
| 7 | 2020 | 7 | |
| 8 | 2018 | 15 | |
| 9 | 2018 | 243 | |
| 10 | 2017 | 29 | |
| 11 | 2010 | 13 | |
| 12 | 2007 | 21 | |
| 13 | 2006 | 12 | |
| 14 | 2004 | 45 | |
| 15 | 2002 | 30 | |
| 16 | 2002 | 59 | |
| 17 | 2001 | 8 | |
| 18 | 1999 | 145 | |
| 19 | 1998 | 61 | |
| 20 | Characterization of Mechanisms Involved in Transrepression of NF-κB by Activated Glucocorticoid Receptorsbreakdown → | 1995 | 680 |
About Robert I. Scheinman
Robert I. Scheinman is a scholar working on Immunology, Cancer Research and Immunology and Allergy, having authored 61 papers that have together received 3.6k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (16 papers), Complement system in diseases (14 papers), Cytokine Signaling Pathways and Interactions (9 papers), Immune Response and Inflammation (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Immune Cell Function and Interaction (6 papers), Cell Adhesion Molecules Research (6 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Cancer Research (1.0k citations), Immunology (1.3k citations) and Molecular Biology (1.6k citations). Robert I. Scheinman has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Albert S. Baldwin, Amer A. Beg, John A. Cidlowski, Christine M. Jewell, Antonio Gualberto, C A Rosen, Steven M. Ruben, Stephen Haskill, A S Baldwin and Dmitri Simberg. Their work appears in journals such as The Journal of Immunology, Journal of Biological Chemistry, Journal of Controlled Release, Molecular Pharmaceutics and ACS Nano.
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.