John Reinitz
Impact in
- Aging top 2%
- Molecular Biology top 2%
- Developmental Biology and Gene Regulation
- Gene Regulatory Network Analysis
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Bioinformatics and Genomic Networks
- Single-cell and spatial transcriptomics
Papers in
-
- Genomics and Chromatin Dynamics 28
- Developmental Biology and Gene Regulation 26
- Gene Regulatory Network Analysis 19
- RNA Research and Splicing 13
- Gene expression and cancer classification 10
- Genetics 16
- Evolution and Genetic Dynamics 8
- Co-authors
- David H. Sharp (15 shared papers)Johannes Jaeger (9 shared papers)David Kosman (8 shared papers)Ekaterina Myasnikova (23 shared papers)Carlos E. Vanario‐Alonso (10 shared papers)Svetlana Surkova (16 shared papers)Maria Samsonova (15 shared papers)Eric Mjolsness (3 shared papers)
- Journals
- Developmental Biology (7 papers)Bioinformatics (5 papers)PLoS Computational Biology (4 papers)Development Genes and Evolution (3 papers)BMC Systems Biology (3 papers)
- Partner nations
- United StatesRussiaBrazil
In The Last Decade
John Reinitz
85 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 127
- Aging 119
- Molecular Biology 3.5k
- Biophysics 267
- Genetics 784
- Cell Biology 357
Countries citing papers authored by John Reinitz
This map shows the geographic impact of John Reinitz'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 John Reinitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Reinitz more than expected).
Fields of papers citing papers by John Reinitz
This network shows the impact of papers produced by John Reinitz. 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 John Reinitz. The network helps show where John Reinitz may publish in the future.
Co-authors
The 25 scholars most cited alongside John Reinitz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 435 | |
| 2 | 1991 | 298 | |
| 3 | 1998 | 236 | |
| 4 | 2009 | 230 | |
| 5 | 1995 | 208 | |
| 6 | 2004 | 195 | |
| 7 | 2009 | 175 | |
| 8 | 2006 | 161 | |
| 9 | 2007 | 157 | |
| 10 | 2006 | 142 | |
| 11 | 1995 | 106 | |
| 12 | 2001 | 98 | |
| 13 | 2008 | 98 | |
| 14 | 2004 | 95 | |
| 15 | 2005 | 88 | |
| 16 | 2006 | 78 | |
| 17 | 1999 | 72 | |
| 18 | 1990 | 72 | |
| 19 | 2006 | 66 | |
| 20 | 1990 | 65 |
About John Reinitz
John Reinitz is a scholar working on Molecular Biology, Genetics, Plant Science, Geometry and Topology and Biophysics, having authored 85 papers that have together received 4.3k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (28 papers), Developmental Biology and Gene Regulation (26 papers), Gene Regulatory Network Analysis (19 papers), RNA Research and Splicing (13 papers), Gene expression and cancer classification (10 papers), Cell Image Analysis Techniques (9 papers), Morphological variations and asymmetry (9 papers) and Evolution and Genetic Dynamics (8 papers). The work is most often cited by research in Aging (119 citations), Molecular Biology (3.5k citations), Biophysics (267 citations), Genetics (784 citations) and Cell Biology (357 citations). John Reinitz has collaborated with scholars based in United States, Russia and Brazil. Frequent co-authors include David H. Sharp, Johannes Jaeger, David Kosman, Ekaterina Myasnikova, Carlos E. Vanario‐Alonso, Svetlana Surkova, Maria Samsonova, Eric Mjolsness, Konstantin Kozlov and Hilde Janssens. Their work appears in journals such as Developmental Biology, Bioinformatics, PLoS Computational Biology, Development Genes and Evolution and BMC Systems Biology.
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.