Michael C. Bassik

24.5k citations
106 papers · 14.1k indexed · 9 hit papers · h-index 50
    • CRISPR and Genetic Engineering 26
    • RNA and protein synthesis mechanisms 16
    • Advanced biosensing and bioanalysis techniques 8
    • Cell death mechanisms and regulation 6
  • Aging top 1%
  • Neurology top 1%
    • Neuroinflammation and Neurodegeneration Mechanisms 6
  • Cell Biology top 0.5%
    • Endoplasmic Reticulum Stress and Disease 9
    • Cellular transport and secretion 9
    • Autophagy in Disease and Therapy 8

Michael C. Bassik

103 papers receiving 13.9k citations

Hit Papers

Elucidat...91200220262010201850010001.5k2.0k2.5k

Peers

Michael C. Bassik
Comparison fields: 5 of 157
  • Cancer Research 2.1k
  • Molecular Biology 9.5k
  • Aging 233
  • Neurology 835
  • Cell Biology 1.5k
Replace Christian Frezza with:
Christian Frezza United Kingdom
Ze’ev A. Ronai United States
Stefan J. Marciniak United Kingdom
Martin Kampmann United States
Brendan D. Manning United States
James A. Olzmann United States
Lihua Julie Zhu United States
Ji Luo United States
Tohru Natsume Japan
Yo Sasaki Japan
Michael C. Bassik relative to Christian Frezza United Kingdom Christian Frezza's profile →
Citations per field
00.5×1.5×1.8×
Christian Frezza · 1×
Citations per year

Countries citing papers authored by Michael C. Bassik

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Bassik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael C. Bassik. 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 Michael C. Bassik. The network helps show where Michael C. Bassik may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Michael C. Bassik, 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 Michael C. Bassik Line = papers co-authored together Michael C. Bassik links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20253
3 202418
4 202433
5 202317
6 202316
7 202341
8 20234
9 2021118
10 202189
11 202134
12 202030
13 201954
14 201916
15 201969
16 201847
17 201812
18 2018160
19 201828
20 201627

About Michael C. Bassik

Michael C. Bassik is a scholar working on Cell Biology, Molecular Biology and Physiology, having authored 106 papers that have together received 14.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (26 papers), RNA and protein synthesis mechanisms (16 papers), Endoplasmic Reticulum Stress and Disease (9 papers), Cellular transport and secretion (9 papers), Advanced biosensing and bioanalysis techniques (8 papers), Autophagy in Disease and Therapy (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Cell death mechanisms and regulation (6 papers). The work is most often cited by research in Cancer Research (2.1k citations), Molecular Biology (9.5k citations) and Aging (233 citations). Michael C. Bassik has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Stanley J. Korsmeyer, David W. Morgens, Gaelen T. Hess, Yongjie Wei, Beth Levine, Amy Li, Sophie Pattingre, Sangita C. Sinha, Loren D. Walensky and Anthony Letai. Their work appears in journals such as Nature, Science and Cell.

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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