Krishanu Saha

93 papers receiving 6.5k citations

Hit Papers

Pluripotency and Cellular Reprogramming: Facts, Hypotheses, Unresolved Issues 2010 · 523 citations
5232008202620142020250500750

Peers

Krishanu Saha
Comparison fields: 5 of 182
  • Molecular Biology 4.4k
  • Aging 96
  • Developmental Neuroscience 213
  • Biomedical Engineering 2.1k
  • Biomaterials 555
Replace Linzhao Cheng with:
Linzhao Cheng United States
Robert Lanza United States
Ali H. Brivanlou United States
Leonardo Morsut United States
Jacques P. Tremblay Canada
Kiichiro Tomoda Japan
Zev J. Gartner United States
Jia Qu China
Martín F. Pera Australia
Katsuhiko Hayashi Japan
Krishanu Saha relative to Linzhao Cheng United States Linzhao Cheng's profile →
Citations per field
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Linzhao Cheng · 1×
Citations per year

Countries citing papers authored by Krishanu Saha

Since Specialization
Citations

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

Fields of papers citing papers by Krishanu Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Substrate Modulus Directs Neural Stem Cell Behavior
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2008862
2
Direct cell reprogramming is a stochastic process amenable to acceleration
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2009749
3
Human embryonic stem cells with biological and epigenetic characteristics similar to those of mouse ESCs
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2010639
4
Pluripotency and Cellular Reprogramming: Facts, Hypotheses, Unresolved Issues
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2010523
5 2010447
6 2008370
7 2009303
8 2019289
9 2007166
10 2003150
11 2011122
12 2017118
13 2020113
14
Crispr democracy: Gene editing and the need for inclusive deliberation
201597
15 200691
16 200891
17 200788
18 200386
19 202083
20 201879

About Krishanu Saha

Krishanu Saha is a scholar working on Aging, Business and International Management, Molecular Biology, Structural Biology and Oncology, having authored 96 papers that have together received 6.6k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (41 papers), Pluripotent Stem Cells Research (26 papers), CAR-T cell therapy research (19 papers), 3D Printing in Biomedical Research (15 papers), RNA Interference and Gene Delivery (10 papers), Biomedical Ethics and Regulation (10 papers), Virus-based gene therapy research (8 papers) and Advanced biosensing and bioanalysis techniques (7 papers). The work is most often cited by research in Molecular Biology (4.4k citations), Aging (96 citations), Developmental Neuroscience (213 citations), Biomedical Engineering (2.1k citations) and Biomaterials (555 citations). Krishanu Saha has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Rudolf Jaenisch, Jacob H. Hanna, David V. Schaffer, Kevin E. Healy, Elizabeth F. Irwin, Christopher J. Lengner, Albert J. Keung, Lauren Little, Yang Li and Bryce W. Carey. Their work appears in journals such as Molecular Therapy, Stem Cell Reports, Nature Communications, Biophysical Journal and The CRISPR Journal.

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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