Tim Hohm
Impact in
- Plant Science top 10%
- Plant Molecular Biology Research
- Light effects on plants
- Plant nutrient uptake and metabolism
- Greenhouse Technology and Climate Control
-
- Photosynthetic Processes and Mechanisms
- Plant Reproductive Biology
- Plant tissue culture and regeneration
Papers in
-
- Photosynthetic Processes and Mechanisms 4
- RNA and protein synthesis mechanisms 2
- Chemical Synthesis and Analysis 2
- Gene Regulatory Network Analysis 2
- Fungal and yeast genetics research 1
- Bioinformatics and Genomic Networks 1
-
- Plant Molecular Biology Research 5
- Light effects on plants 5
- Co-authors
- Christian Fankhauser (3 shared papers)Sven Bergmann (3 shared papers)Eckart Zitzler (3 shared papers)Rüdiger Simon (1 shared paper)Daniel Hoffmann (3 shared papers)Wolfram Gronwald (1 shared paper)Teva Vernoux (2 shared papers)Laure Allenbach Petrolati (2 shared papers)
- Journals
- American Journal of Botany (1 paper)Current Biology (1 paper)BMC Bioinformatics (1 paper)Journal of Computational Biology (1 paper)PLoS ONE (1 paper)
- Partner nations
- SwitzerlandGermanyFrance
In The Last Decade
Tim Hohm
10 papers receiving 232 citations
Peers
Comparison fields: 5 of 52
- Plant Science 180
- Molecular Biology 160
- Physiology 5
- Computational Theory and Mathematics 16
- Statistics, Probability and Uncertainty 6
Countries citing papers authored by Tim Hohm
This map shows the geographic impact of Tim Hohm'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 Tim Hohm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Hohm more than expected).
Fields of papers citing papers by Tim Hohm
This network shows the impact of papers produced by Tim Hohm. 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 Tim Hohm. The network helps show where Tim Hohm may publish in the future.
Co-authors
The 12 scholars most cited alongside Tim Hohm, 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 | 2012 | 71 | |
| 2 | 2014 | 47 | |
| 3 | 2013 | 39 | |
| 4 | 2010 | 37 | |
| 5 | 2008 | 20 | |
| 6 | 2006 | 10 | |
| 7 | 2009 | 5 | |
| 8 | 2014 | 2 | |
| 9 | 2009 | 2 | |
| 10 | 2005 | 1 |
About Tim Hohm
Tim Hohm is a scholar working on Molecular Biology, Plant Science, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 10 papers that have together received 234 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (5 papers), Light effects on plants (5 papers), Photosynthetic Processes and Mechanisms (4 papers), RNA and protein synthesis mechanisms (2 papers), Chemical Synthesis and Analysis (2 papers), Gene Regulatory Network Analysis (2 papers), Fungal and yeast genetics research (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Plant Science (180 citations), Molecular Biology (160 citations), Physiology (5 citations), Computational Theory and Mathematics (16 citations) and Statistics, Probability and Uncertainty (6 citations). Tim Hohm has collaborated with scholars based in Switzerland, Germany and France. Frequent co-authors include Christian Fankhauser, Sven Bergmann, Eckart Zitzler, Rüdiger Simon, Daniel Hoffmann, Wolfram Gronwald, Teva Vernoux, Laure Allenbach Petrolati, Emilie Demarsy and Clément Quan. Their work appears in journals such as American Journal of Botany, Current Biology, BMC Bioinformatics, Journal of Computational Biology 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.