Stefan Heidmann
Impact in
- Cell Biology top 2%
- Microtubule and mitosis dynamics
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA regulation and disease
- CRISPR and Genetic Engineering
Papers in
-
- Genomics and Chromatin Dynamics 10
- RNA Research and Splicing 8
- RNA regulation and disease 6
- Fungal and yeast genetics research 4
-
- Chromosomal and Genetic Variations 9
- Co-authors
- Christian F. Lehner (11 shared papers)Scott D. Seiwert (3 shared papers)Kenneth Stuart (5 shared papers)Melina Schuh (1 shared paper)Friederike Althoff (3 shared papers)Alf Herzig (4 shared papers)Ralf B. Schittenhelm (3 shared papers)Raquel A. Oliveira (2 shared papers)
- Journals
- Chromosoma (5 papers)Molecular and Cellular Biology (4 papers)Genes & Development (4 papers)RNA (2 papers)PLoS Genetics (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Stefan Heidmann
28 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 74
- Cell Biology 651
- Molecular Biology 1.7k
- Plant Science 655
- Epidemiology 397
- Aging 22
Countries citing papers authored by Stefan Heidmann
This map shows the geographic impact of Stefan Heidmann'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 Stefan Heidmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Heidmann more than expected).
Fields of papers citing papers by Stefan Heidmann
This network shows the impact of papers produced by Stefan Heidmann. 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 Stefan Heidmann. The network helps show where Stefan Heidmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Heidmann, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 298 | |
| 2 | 2008 | 227 | |
| 3 | 1996 | 178 | |
| 4 | 1996 | 166 | |
| 5 | 1997 | 126 | |
| 6 | 2007 | 85 | |
| 7 | 2005 | 82 | |
| 8 | 2001 | 80 | |
| 9 | 2000 | 76 | |
| 10 | 2010 | 72 | |
| 11 | 2004 | 56 | |
| 12 | 2005 | 56 | |
| 13 | 1992 | 54 | |
| 14 | 1998 | 52 | |
| 15 | 1989 | 48 | |
| 16 | 2007 | 42 | |
| 17 | 2015 | 42 | |
| 18 | 2004 | 42 | |
| 19 | 2013 | 31 | |
| 20 | 2014 | 29 |
About Stefan Heidmann
Stefan Heidmann is a scholar working on Molecular Biology, Plant Science, Cell Biology, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 28 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (10 papers), Microtubule and mitosis dynamics (9 papers), Chromosomal and Genetic Variations (9 papers), RNA Research and Splicing (8 papers), RNA regulation and disease (6 papers), Fungal and yeast genetics research (4 papers), Trypanosoma species research and implications (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Cell Biology (651 citations), Molecular Biology (1.7k citations), Plant Science (655 citations), Epidemiology (397 citations) and Aging (22 citations). Stefan Heidmann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Christian F. Lehner, Scott D. Seiwert, Kenneth Stuart, Melina Schuh, Friederike Althoff, Alf Herzig, Ralf B. Schittenhelm, Raquel A. Oliveira, Thomas E. Allen and Kim Nasmyth. Their work appears in journals such as Chromosoma, Molecular and Cellular Biology, Genes & Development, RNA and PLoS Genetics.
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.