Johann Meyer
Impact in
- Genetics top 1%
- Virus-based gene therapy research
- Molecular Biology top 2%
- CRISPR and Genetic Engineering
- Pluripotent Stem Cells Research
- RNA Interference and Gene Delivery
- Renal and related cancers
Papers in
- Immunology 18
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 7
- Oncology 18
- CAR-T cell therapy research 9
- Cytokine Signaling Pathways and Interactions 6
- Co-authors
- Hans R. SchölerHolm ZaehresMarcos J. Araúzo‐BravoJeong Beom KimBoris FehseZhixiong LiChristopher BaumWolfram Ostertag
- Journals
- Blood (9 papers)Molecular Therapy (4 papers)Journal of Clinical Investigation (3 papers)Human Gene Therapy (2 papers)Leukemia (2 papers)
- Partner nations
- GermanyUnited StatesNorway
In The Last Decade
Johann Meyer
45 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Genetics 1.3k
- Molecular Biology 2.9k
- Developmental Neuroscience 145
- Oncology 870
- Genetics 296
Countries citing papers authored by Johann Meyer
This map shows the geographic impact of Johann Meyer'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 Johann Meyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johann Meyer more than expected).
Fields of papers citing papers by Johann Meyer
This network shows the impact of papers produced by Johann Meyer. 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 Johann Meyer. The network helps show where Johann Meyer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Johann Meyer, 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 | 2022 | 13 | |
| 2 | 2019 | 14 | |
| 3 | 2019 | 44 | |
| 4 | 2019 | 23 | |
| 5 | 2014 | 21 | |
| 6 | 2011 | 8 | |
| 7 | 2011 | 34 | |
| 8 | 2010 | 5 | |
| 9 | Direct reprogramming of human neural stem cells by OCT4 Hit paper breakdown → | 2009 | 506 |
| 10 | 2008 | 215 | |
| 11 | 2007 | 30 | |
| 12 | 2005 | 10 | |
| 13 | 2004 | 32 | |
| 14 | 2004 | 71 | |
| 15 | 2003 | 12 | |
| 16 | 2002 | 6 | |
| 17 | 2001 | 20 | |
| 18 | 2001 | 7 | |
| 19 | 1991 | 208 | |
| 20 | 1990 | 57 |
About Johann Meyer
Johann Meyer is a scholar working on Immunology, Oncology, Genetics, Business and International Management and Molecular Biology, having authored 46 papers that have together received 4.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (15 papers), CRISPR and Genetic Engineering (12 papers), CAR-T cell therapy research (9 papers), RNA Interference and Gene Delivery (8 papers), Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (7 papers), Cytokine Signaling Pathways and Interactions (6 papers) and Pluripotent Stem Cells Research (5 papers). The work is most often cited by research in Genetics (1.3k citations), Molecular Biology (2.9k citations), Developmental Neuroscience (145 citations), Oncology (870 citations) and Genetics (296 citations). Johann Meyer has collaborated with scholars based in Germany, United States and Norway. Frequent co-authors include Hans R. Schöler, Holm Zaehres, Marcos J. Araúzo‐Bravo, Jeong Beom Kim, Boris Fehse, Zhixiong Li, Christopher Baum, Wolfram Ostertag, J. Düllmann and Christof von Kalle. Their work appears in journals such as Blood, Molecular Therapy, Journal of Clinical Investigation, Human Gene Therapy and Leukemia.
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.