M C Gruda
Impact in
-
- Neuroscience and Neuropharmacology Research
- Nerve injury and regeneration
- Nuclear Receptors and Signaling
- Developmental Neuroscience top 5%
Papers in
- Oncology 5
- Polyomavirus and related diseases 3
- CAR-T cell therapy research 3
- Cytokine Signaling Pathways and Interactions 1
-
- Melanoma and MAPK Pathways 1
- Co-authors
- Robert S. Freeman (1 shared paper)William J. Zaks (1 shared paper)Steven Estus (1 shared paper)Eugene M. Johnson (1 shared paper)R Bravo (1 shared paper)James C. Alwine (4 shared papers)Sérgio A. Lira (2 shared papers)Janice M. Zabolotny (2 shared papers)
- Journals
- Journal of Virology (2 papers)Molecular and Cellular Biology (2 papers)The Journal of Cell Biology (1 paper)Shock (1 paper)PubMed (2 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
M C Gruda
8 papers receiving 1.2k citations
M C Gruda's Hit Papers
Peers
Comparison fields: 5 of 83
- Cellular and Molecular Neuroscience 334
- Developmental Neuroscience 75
- Molecular Biology 848
- Oncology 272
- Cancer Research 115
Countries citing papers authored by M C Gruda
This map shows the geographic impact of M C Gruda'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 M C Gruda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M C Gruda more than expected).
Fields of papers citing papers by M C Gruda
This network shows the impact of papers produced by M C Gruda. 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 M C Gruda. The network helps show where M C Gruda may publish in the future.
Co-authors
The 22 scholars most cited alongside M C Gruda, 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 | Altered gene expression in neurons during programmed cell death: identification of c-jun as necessary for neuronal apoptosis. Hit paper breakdown → | 1994 | 742 |
| 2 | Disruption of the erp/mkp-1 gene does not affect mouse development: normal MAP kinase activity in ERP/MKP-1-deficient fibroblasts. | 1996 | 179 |
| 3 | 1993 | 104 | |
| 4 | Expression of FosB during mouse development: normal development of FosB knockout mice. | 1996 | 58 |
| 5 | 1993 | 53 | |
| 6 | 1991 | 41 | |
| 7 | 1990 | 32 | |
| 8 | 2009 | 16 |
About M C Gruda
M C Gruda is a scholar working on Oncology, Molecular Biology, Immunology, Surgery and Genetics, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Polyomavirus and related diseases (3 papers), CAR-T cell therapy research (3 papers), T-cell and B-cell Immunology (2 papers), Nerve injury and regeneration (1 paper), Hemoglobinopathies and Related Disorders (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Pancreatitis Pathology and Treatment (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (334 citations), Developmental Neuroscience (75 citations), Molecular Biology (848 citations), Oncology (272 citations) and Cancer Research (115 citations). M C Gruda has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Robert S. Freeman, William J. Zaks, Steven Estus, Eugene M. Johnson, R Bravo, James C. Alwine, Sérgio A. Lira, Janice M. Zabolotny, Irwin Davidson and Carol S. Ryan. Their work appears in journals such as Journal of Virology, Molecular and Cellular Biology, The Journal of Cell Biology, Shock and PubMed.
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.