Jörg Isensee
Impact in
- Genetics top 5%
- Estrogen and related hormone effects
-
- Hormonal Regulation and Hypertension
Papers in
-
- Ion channel regulation and function 5
- Receptor Mechanisms and Signaling 4
- RNA Research and Splicing 3
-
- Neuropeptides and Animal Physiology 5
- Neurobiology and Insect Physiology Research 4
- Co-authors
- Patricia Ruíz (5 shared papers)Tim Hucho (23 shared papers)Luca Meoli (3 shared papers)Henning Witt (3 shared papers)Sylvia Krobitsch (3 shared papers)Christian Kaehler (3 shared papers)Christiane Otto (2 shared papers)Hans Lehrach (2 shared papers)
- Journals
- The Journal of Cell Biology (2 papers)Pain (2 papers)Journal of Cell Science (2 papers)Nucleic Acids Research (2 papers)PLoS ONE (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Jörg Isensee
28 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 104
- Genetics 355
- Endocrinology, Diabetes and Metabolism 150
- Cellular and Molecular Neuroscience 162
- Molecular Biology 551
- Behavioral Neuroscience 27
Countries citing papers authored by Jörg Isensee
This map shows the geographic impact of Jörg Isensee'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 Jörg Isensee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jörg Isensee more than expected).
Fields of papers citing papers by Jörg Isensee
This network shows the impact of papers produced by Jörg Isensee. 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 Jörg Isensee. The network helps show where Jörg Isensee may publish in the future.
Co-authors
The 25 scholars most cited alongside Jörg Isensee, 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 | 2008 | 163 | |
| 2 | 2009 | 139 | |
| 3 | 2007 | 115 | |
| 4 | 2017 | 94 | |
| 5 | 2012 | 84 | |
| 6 | 2014 | 74 | |
| 7 | 2007 | 48 | |
| 8 | 2016 | 46 | |
| 9 | 2017 | 43 | |
| 10 | 2014 | 39 | |
| 11 | 2018 | 39 | |
| 12 | 2013 | 37 | |
| 13 | 2013 | 33 | |
| 14 | 2022 | 31 | |
| 15 | 2014 | 31 | |
| 16 | 2019 | 19 | |
| 17 | 2019 | 14 | |
| 18 | 2017 | 13 | |
| 19 | 2020 | 13 | |
| 20 | 2021 | 12 |
About Jörg Isensee
Jörg Isensee is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Genetics and Sensory Systems, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (11 papers), Neuropeptides and Animal Physiology (5 papers), Ion channel regulation and function (5 papers), Receptor Mechanisms and Signaling (4 papers), Neurobiology and Insect Physiology Research (4 papers), Estrogen and related hormone effects (4 papers), Ion Channels and Receptors (4 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Genetics (355 citations), Endocrinology, Diabetes and Metabolism (150 citations), Cellular and Molecular Neuroscience (162 citations), Molecular Biology (551 citations) and Behavioral Neuroscience (27 citations). Jörg Isensee has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Patricia Ruíz, Tim Hucho, Luca Meoli, Henning Witt, Sylvia Krobitsch, Christian Kaehler, Christiane Otto, Hans Lehrach, Martina Delbeck and Benjamin Bader. Their work appears in journals such as The Journal of Cell Biology, Pain, Journal of Cell Science, Nucleic Acids Research and PLoS ONE.
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.