John C. Reed
Impact in
- Molecular Biology top 0.01%
- Cell death mechanisms and regulation
- RNA Interference and Gene Delivery
- Mitochondrial Function and Pathology
- Ubiquitin and proteasome pathways
- Immunology top 0.02%
Papers in
-
- Cell death mechanisms and regulation 363
- RNA Interference and Gene Delivery 83
- Ubiquitin and proteasome pathways 56
- Immunology 193
- interferon and immune responses 52
- Immune Response and Inflammation 49
- Co-authors
- Douglas R. Green (9 shared papers)Stanisław Krajewski (125 shared papers)Shinichi Kitada (81 shared papers)Maryla Krajewska (87 shared papers)Shin-ichi Joseph Takayama (50 shared papers)Hong-Gang Wang (25 shared papers)Zhihua Xie (18 shared papers)Renata Sano (5 shared papers)
- Journals
- Journal of Biological Chemistry (84 papers)Blood (54 papers)Proceedings of the National Academy of Sciences (34 papers)The Journal of Immunology (23 papers)Oncogene (23 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
John C. Reed
809 papers receiving 111.9k citations
John C. Reed's Hit Papers
Peers
Comparison fields: 5 of 211
- Molecular Biology 74.2k
- Immunology 20.5k
- Cancer Research 11.4k
- Oncology 20.7k
- Cell Biology 9.9k
Countries citing papers authored by John C. Reed
This map shows the geographic impact of John C. Reed'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 John C. Reed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Reed more than expected).
Fields of papers citing papers by John C. Reed
This network shows the impact of papers produced by John C. Reed. 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 John C. Reed. The network helps show where John C. Reed may publish in the future.
Co-authors
The 25 scholars most cited alongside John C. Reed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 824 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mitochondria and Apoptosis Hit paper breakdown → | 1998 | 8130 |
| 2 | An inhibitor of Bcl-2 family proteins induces regression of solid tumours Hit paper breakdown → | 2005 | 2975 |
| 3 | Regulation of Cell Death Protease Caspase-9 by Phosphorylation Hit paper breakdown → | 1998 | 2712 |
| 4 | Tumor suppressor p53 is a regulator of bcl-2 and bax gene expression in vitro and in vivo. Hit paper breakdown → | 1994 | 1938 |
| 5 | ER stress-induced cell death mechanisms Hit paper breakdown → | 2013 | 1696 |
| 6 | Ordering the Cytochrome c–initiated Caspase Cascade: Hierarchical Activation of Caspases-2, -3, -6, -7, -8, and -10 in a Caspase-9–dependent Manner Hit paper breakdown → | 1999 | 1692 |
| 7 | Cell death and endoplasmic reticulum stress: disease relevance and therapeutic opportunities Hit paper breakdown → | 2008 | 1611 |
| 8 | Apoptosis in the Failing Human Heart Hit paper breakdown → | 1997 | 1435 |
| 9 | Bax directly induces release of cytochrome c from isolated mitochondria Hit paper breakdown → | 1998 | 1384 |
| 10 | Somatic Frameshift Mutations in the BAX Gene in Colon Cancers of the Microsatellite Mutator Phenotype Hit paper breakdown → | 1997 | 1159 |
| 11 | Bax and Adenine Nucleotide Translocator Cooperate in the Mitochondrial Control of Apoptosis Hit paper breakdown → | 1998 | 1050 |
| 12 | Ca 2+ -Induced Apoptosis Through Calcineurin Dephosphorylation of BAD Hit paper breakdown → | 1999 | 1005 |
| 13 | Investigation of the subcellular distribution of the bcl-2 oncoprotein: residence in the nuclear envelope, endoplasmic reticulum, and outer mitochondrial membranes. Hit paper breakdown → | 1993 | 938 |
| 14 | Anchorage dependence, integrins, and apoptosis Hit paper breakdown → | 1994 | 912 |
| 15 | Mechanisms of apoptosis sensitivity and resistance to the BH3 mimetic ABT-737 in acute myeloid leukemia Hit paper breakdown → | 2006 | 899 |
| 16 | Dysregulation of Apoptosis in Cancer Hit paper breakdown → | 1999 | 854 |
| 17 | The NLR Gene Family: A Standard Nomenclature Hit paper breakdown → | 2008 | 781 |
| 18 | Cloning and functional analysis of BAG-1: A novel Bcl-2-binding protein with anti-cell death activity Hit paper breakdown → | 1995 | 772 |
| 19 | Bcl-2 family proteins and cancer Hit paper breakdown → | 2008 | 753 |
| 20 | 1997 | 704 |
About John C. Reed
John C. Reed is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Genetics, having authored 824 papers that have together received 115.3k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (363 papers), Cancer-related Molecular Pathways (105 papers), RNA Interference and Gene Delivery (83 papers), NF-κB Signaling Pathways (67 papers), Ubiquitin and proteasome pathways (56 papers), Chronic Lymphocytic Leukemia Research (54 papers), interferon and immune responses (52 papers) and Immune Response and Inflammation (49 papers). The work is most often cited by research in Molecular Biology (74.2k citations), Immunology (20.5k citations), Cancer Research (11.4k citations), Oncology (20.7k citations) and Cell Biology (9.9k citations). John C. Reed has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Douglas R. Green, Stanisław Krajewski, Shinichi Kitada, Maryla Krajewska, Shin-ichi Joseph Takayama, Hong-Gang Wang, Zhihua Xie, Renata Sano, Guy Salvesen and Toshiyuki Miyashita. Their work appears in journals such as Journal of Biological Chemistry, Blood, Proceedings of the National Academy of Sciences, The Journal of Immunology and Oncogene.
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.