Mari Nishino

2.2k citations
12 papers · 1.7k indexed · 1 hit paper · h-index 8

Mari Nishino

10 papers receiving 1.7k citations

Hit Papers

Mitochondria primed by death signals determine cellular a...9822006202620122019250500750

Peers

Mari Nishino
Comparison fields: 5 of 93
  • Cell Biology 316
  • Molecular Biology 1.3k
  • Oncology 309
  • Genetics 115
  • Immunology 228
Replace Federico Gulluni with:
Federico Gulluni Italy
Steven Grant United States
Anutosh Chakraborty United States
James S. Hardwick United States
Yonghua Yang United States
Chun Hei Antonio Cheung Taiwan
Ho-Chou Tu United States
Margaret A. Park United States
Jiancheng Hu China
Beth Apsel United States
Mari Nishino relative to Federico Gulluni Italy Federico Gulluni's profile →
Citations per field
00.5×1.5×
Federico Gulluni · 1×
Citations per year

Countries citing papers authored by Mari Nishino

Since Specialization
Citations

This map shows the geographic impact of Mari Nishino'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 Mari Nishino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mari Nishino more than expected).

Fields of papers citing papers by Mari Nishino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mari Nishino. 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 Mari Nishino. The network helps show where Mari Nishino may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Mari Nishino, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mari Nishino Line = papers co-authored together Mari Nishino links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 20250
2 20241
3 202424
4 20220
5 20131
6 201335
7 201128
8 2008149
9
Mitochondria primed by death signals determine cellular addiction to antiapoptotic BCL-2 family membersbreakdown →
2006982
10 200687
11 200636
12 2004358

About Mari Nishino

Mari Nishino is a scholar working on Cell Biology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (4 papers), Lung Cancer Treatments and Mutations (3 papers), Trypanosoma species research and implications (3 papers), Autophagy in Disease and Therapy (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Biochemical and Molecular Research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Research on Leishmaniasis Studies (2 papers). The work is most often cited by research in Cell Biology (316 citations), Molecular Biology (1.3k citations) and Oncology (309 citations). Mari Nishino has collaborated with scholars based in United States, Italy and Malaysia. Frequent co-authors include Stanley J. Korsmeyer, Anthony Letai, Scott A. Armstrong, Victoria Del Gaizo Moore, Michael Certo, Guo Wei, Scott A. Oakes, Michael C. Bassik, Luca Scorrano and Joseph T. Opferman. Their work appears in journals such as Journal of Thoracic Oncology, eLife, Molecular and Cellular Biology, Journal of Biological Chemistry 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.

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