Konrad Hochedlinger
- Molecular Biology top 0.05%
- Pluripotent Stem Cells Research 84
- CRISPR and Genetic Engineering 63
- Renal and related cancers 35
- Epigenetics and DNA Methylation 22
- Genomics and Chromatin Dynamics 13
- Developmental Neuroscience top 0.2%
- Aging top 0.5%
- Genetics top 0.5%
- Animal Genetics and Reproduction 12
- Genetics top 0.2%
- Animal Genetics and Reproduction 12
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- Reproductive Biology and Fertility 11
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- Tissue Engineering and Regenerative Medicine 9
- Co-authors
- Rudolf JaenischMatthias StadtfeldNimet MaheraliJochen UtikalAbby SarkarKathrin PlathEffie ApostolouGeorge Q. Daley
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Konrad Hochedlinger
126 papers receiving 27.1k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Molecular Biology 24.3k
- Developmental Neuroscience 1.1k
- Aging 334
- Genetics 1.5k
- Genetics 3.9k
Countries citing papers authored by Konrad Hochedlinger
This map shows the geographic impact of Konrad Hochedlinger'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 Konrad Hochedlinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Konrad Hochedlinger more than expected).
Fields of papers citing papers by Konrad Hochedlinger
This network shows the impact of papers produced by Konrad Hochedlinger. 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 Konrad Hochedlinger. The network helps show where Konrad Hochedlinger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Konrad Hochedlinger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2023 | 11 | |
| 3 | 2022 | 26 | |
| 4 | 2017 | 29 | |
| 5 | 2015 | 194 | |
| 6 | 2015 | 125 | |
| 7 | 2014 | 55 | |
| 8 | 2014 | 77 | |
| 9 | 2013 | 74 | |
| 10 | Position-Dependent Silencing of Germline V beta Segments on TCR beta Alleles Containing Preassembled V beta DJ beta C beta 1 Genes | 2010 | 1 |
| 11 | 2009 | 16 | |
| 12 | 2009 | 357 | |
| 13 | Induced Pluripotent Stem Cells Generated Without Viral Integrationbreakdown → | 2008 | 1176 |
| 14 | Disease-Specific Induced Pluripotent Stem Cellsbreakdown → | 2008 | 1616 |
| 15 | Defining Molecular Cornerstones during Fibroblast to iPS Cell Reprogramming in Mousebreakdown → | 2008 | 621 |
| 16 | 2008 | 426 | |
| 17 | 2007 | 310 | |
| 18 | 2006 | 151 | |
| 19 | 2002 | 70 | |
| 20 | 2002 | 90 |
About Konrad Hochedlinger
Konrad Hochedlinger is a scholar working on Molecular Biology, Genetics and Developmental Neuroscience, having authored 128 papers that have together received 27.6k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (84 papers), CRISPR and Genetic Engineering (63 papers), Renal and related cancers (35 papers), Epigenetics and DNA Methylation (22 papers), Genomics and Chromatin Dynamics (13 papers), Animal Genetics and Reproduction (12 papers), Reproductive Biology and Fertility (11 papers) and Tissue Engineering and Regenerative Medicine (9 papers). The work is most often cited by research in Molecular Biology (24.3k citations), Developmental Neuroscience (1.1k citations) and Aging (334 citations). Konrad Hochedlinger has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Rudolf Jaenisch, Matthias Stadtfeld, Nimet Maherali, Jochen Utikal, Abby Sarkar, Kathrin Plath, Effie Apostolou, George Q. Daley, José M. Polo and Sarah Eminli. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.