Marc A. Schwartz
- Immunology top 5%
- Molecular Biology
- Oncology
- Infectious Diseases
- Rheumatology top 10%
- Co-authors
- David J. RawlingsShaun W. JacksonAlmut Meyer‐BahlburgJoseph D. RosenblattYu ZhangSocheath KhimLouis B. BarnesCharles E. Alpers
- Topics
- T-cell and B-cell Immunology (7 papers)Immune Cell Function and Interaction (5 papers)Immunodeficiency and Autoimmune Disorders (3 papers)
- Partner nations
- United StatesUnited KingdomChile
In The Last Decade
Marc A. Schwartz
22 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Immunology 826
- Molecular Biology 292
- Oncology 188
- Infectious Diseases 102
- Rheumatology 96
Countries citing papers authored by Marc A. Schwartz
This map shows the geographic impact of Marc A. Schwartz'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 Marc A. Schwartz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc A. Schwartz more than expected).
Fields of papers citing papers by Marc A. Schwartz
This network shows the impact of papers produced by Marc A. Schwartz. 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 Marc A. Schwartz. The network helps show where Marc A. Schwartz may publish in the future.
Co-authorship network of co-authors of Marc A. Schwartz
This figure shows the co-authorship network connecting the top 25 collaborators of Marc A. Schwartz. A scholar is included among the top collaborators of Marc A. Schwartz 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 Marc A. Schwartz. Marc A. Schwartz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 81 | |
| 3 | 8 | |
| 4 | ESCRT-dependent STING degradation inhibits steady-state and cGAMP-induced signallingbreakdown → | 76 |
| 5 | Human STING is a proton channelbreakdown → | 111 |
| 6 | 1 | |
| 7 | 189 | |
| 8 | 57 | |
| 9 | 17 | |
| 10 | 133 | |
| 11 | 24 | |
| 12 | 24 | |
| 13 | 248 | |
| 14 | 127 | |
| 15 | 2 | |
| 16 | Improving fluid compliance in the hemodialysis population. | 1 |
| 17 | 7 | |
| 18 | [Orientation on genetic screening for cystic fibrosis]. | 1 |
| 19 | 58 | |
| 20 | 1 |
About Marc A. Schwartz
Marc A. Schwartz is a scholar working on Immunology, Immunology and Allergy and Rheumatology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (5 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Immunology (826 citations), Immunology and Allergy (70 citations) and Oncology (188 citations). Marc A. Schwartz has collaborated with scholars based in United States, United Kingdom and Chile. Frequent co-authors include David J. Rawlings, Shaun W. Jackson, Almut Meyer‐Bahlburg, Joseph D. Rosenblatt, Yu Zhang, Socheath Khim, Louis B. Barnes, Charles E. Alpers, Nikita Kolhatkar and Denny Liggitt. Their work appears in journals such as Science, Nature Communications and The Journal of Experimental Medicine.
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.