Jennifer Martinez
- Immunology top 0.5%
- Molecular Biology top 5%
- Epidemiology top 1%
- Physiology top 5%
- Infectious Diseases top 5%
- Co-authors
- Douglas R. GreenYiping YangXiaopei HuangEmilio Boada-RomeroBradlee L. HeckmannThomas H. OguinSing‐Wai WongAndrew Oberst
- Topics
- Autophagy in Disease and Therapy (24 papers)Phagocytosis and Immune Regulation (18 papers)Inflammasome and immune disorders (8 papers)
- Cited by
- ImmunologyPhysiologyEpidemiology
- Partner nations
- United StatesChinaJapan
In The Last Decade
Jennifer Martinez
61 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Immunology 2.9k
- Molecular Biology 2.4k
- Epidemiology 2.1k
- Physiology 529
- Infectious Diseases 479
Countries citing papers authored by Jennifer Martinez
This map shows the geographic impact of Jennifer Martinez'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 Jennifer Martinez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Martinez more than expected).
Fields of papers citing papers by Jennifer Martinez
This network shows the impact of papers produced by Jennifer Martinez. 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 Jennifer Martinez. The network helps show where Jennifer Martinez may publish in the future.
Co-authorship network of co-authors of Jennifer Martinez
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Martinez. A scholar is included among the top collaborators of Jennifer Martinez 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 Jennifer Martinez. Jennifer Martinez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 13 | |
| 4 | 55 | |
| 5 | 14 | |
| 6 | The clearance of dead cells by efferocytosisbreakdown → | 548 |
| 7 | The Nucleotide Sensor ZBP1 and Kinase RIPK3 Induce the Enzyme IRG1 to Promote an Antiviral Metabolic State in Neuronsbreakdown → | 213 |
| 8 | 126 | |
| 9 | 46 | |
| 10 | 107 | |
| 11 | 257 | |
| 12 | 49 | |
| 13 | 219 | |
| 14 | 26 | |
| 15 | 19 | |
| 16 | 4 | |
| 17 | 318 | |
| 18 | 51 | |
| 19 | Macrophage Autophagy Plays a Protective Role in Advanced Atherosclerosisbreakdown → | 513 |
| 20 | 84 |
About Jennifer Martinez
Jennifer Martinez is a scholar working on Immunology, Physiology and Epidemiology, having authored 62 papers that have together received 6.0k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (24 papers), Phagocytosis and Immune Regulation (18 papers) and Inflammasome and immune disorders (8 papers). The work is most often cited by research in Immunology (2.9k citations), Physiology (305 citations) and Epidemiology (2.1k citations). Jennifer Martinez has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Douglas R. Green, Yiping Yang, Xiaopei Huang, Emilio Boada-Romero, Bradlee L. Heckmann, Thomas H. Oguin, Sing‐Wai Wong, Andrew Oberst, Ira Tabas and Xianghai Liao. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.