Ashish C. Massey
- Epidemiology top 1%
- Cell Biology top 1%
- Physiology top 2%
- Molecular Biology top 10%
- Neurology top 1%
- Co-authors
- Ana María CuervoSusmita KaushikRoberta KiffinGuy SovakMarta Martínez‐VicenteCong ZhangWai Haung YuPanaiyur S. Mohan
- Topics
- Autophagy in Disease and Therapy (16 papers)Toxoplasma gondii Research Studies (7 papers)Endoplasmic Reticulum Stress and Disease (7 papers)
- Cited by
- PhysiologyCell BiologyEpidemiology
- Partner nations
- United StatesFranceJapan
In The Last Decade
Ashish C. Massey
21 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Epidemiology 2.1k
- Cell Biology 1.1k
- Physiology 1.1k
- Molecular Biology 1.1k
- Neurology 814
Countries citing papers authored by Ashish C. Massey
This map shows the geographic impact of Ashish C. Massey'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 Ashish C. Massey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashish C. Massey more than expected).
Fields of papers citing papers by Ashish C. Massey
This network shows the impact of papers produced by Ashish C. Massey. 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 Ashish C. Massey. The network helps show where Ashish C. Massey may publish in the future.
Co-authorship network of co-authors of Ashish C. Massey
This figure shows the co-authorship network connecting the top 25 collaborators of Ashish C. Massey. A scholar is included among the top collaborators of Ashish C. Massey 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 Ashish C. Massey. Ashish C. Massey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 4 | |
| 5 | 40 | |
| 6 | 31 | |
| 7 | 2 | |
| 8 | Lysosomal Proteolysis and Autophagy Require Presenilin 1 and Are Disrupted by Alzheimer-Related PS1 Mutationsbreakdown → | 918 |
| 9 | Dopamine-modified α-synuclein blocks chaperone-mediated autophagybreakdown → | 516 |
| 10 | 265 | |
| 11 | 60 | |
| 12 | 115 | |
| 13 | 164 | |
| 14 | 412 | |
| 15 | 32 | |
| 16 | 227 | |
| 17 | 25 | |
| 18 | 204 | |
| 19 | 164 | |
| 20 | 151 |
About Ashish C. Massey
Ashish C. Massey is a scholar working on Parasitology, Aging and Cell Biology, having authored 21 papers that have together received 3.3k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (16 papers), Toxoplasma gondii Research Studies (7 papers) and Endoplasmic Reticulum Stress and Disease (7 papers). The work is most often cited by research in Physiology (376 citations), Cell Biology (1.1k citations) and Epidemiology (2.1k citations). Ashish C. Massey has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Ana María Cuervo, Susmita Kaushik, Roberta Kiffin, Guy Sovak, Marta Martínez‐Vicente, Cong Zhang, Wai Haung Yu, Panaiyur S. Mohan, Yasuo Uchiyama and Asok Kumar. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.