Hans J. Lipps
- Molecular Biology top 1%
- Genetics top 1%
- Ecology top 2%
- Plant Science top 5%
- Physiology top 10%
- Co-authors
- Daniela RhodesJan PostbergDominic J. GloverDavid A. JansKatrin PaeschkeTomas SimonssonIsa M. StehleChristiane Schaffitzel
- Topics
- Protist diversity and phylogeny (55 papers)Chromosomal and Genetic Variations (28 papers)Microbial Community Ecology and Physiology (25 papers)
- Cited by
- Molecular BiologyGeneticsEcology
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Hans J. Lipps
121 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 5.8k
- Genetics 1.3k
- Ecology 753
- Plant Science 696
- Physiology 316
Countries citing papers authored by Hans J. Lipps
This map shows the geographic impact of Hans J. Lipps'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 Hans J. Lipps with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans J. Lipps more than expected).
Fields of papers citing papers by Hans J. Lipps
This network shows the impact of papers produced by Hans J. Lipps. 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 Hans J. Lipps. The network helps show where Hans J. Lipps may publish in the future.
Co-authorship network of co-authors of Hans J. Lipps
This figure shows the co-authorship network connecting the top 25 collaborators of Hans J. Lipps. A scholar is included among the top collaborators of Hans J. Lipps based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hans J. Lipps. Hans J. Lipps is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 6 | |
| 3 | Nonviral Delivery of the Rat PDX1 Gene to Rat Liver For the In Vivo Transdifferentiation of Liver Cells to Pancreatic Beta-Cells | 4 |
| 4 | Essays In Biochemistry: 48 | 1 |
| 5 | Epigenetics, disease and behaviour | 1 |
| 6 | 16 | |
| 7 | 54 | |
| 8 | 29 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 8 | |
| 12 | 15 | |
| 13 | 14 | |
| 14 | 16 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | Die Wirklichkeit des Menschen | 2 |
| 18 | Die Verbindlichkeit der Sprache | 5 |
| 19 | Die menschliche Natur | 2 |
| 20 | Untersuchungen zur Phänomenologie der Erkenntnis | 1 |
About Hans J. Lipps
Hans J. Lipps is a scholar working on Molecular Biology, Ecology and Aging, having authored 124 papers that have together received 6.3k indexed citations. Recurring topics across this work include Protist diversity and phylogeny (55 papers), Chromosomal and Genetic Variations (28 papers) and Microbial Community Ecology and Physiology (25 papers). The work is most often cited by research in Molecular Biology (5.8k citations), Genetics (1.3k citations) and Ecology (753 citations). Hans J. Lipps has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Daniela Rhodes, Jan Postberg, Dominic J. Glover, David A. Jans, Katrin Paeschke, Tomas Simonsson, Isa M. Stehle, Christiane Schaffitzel, Imre Berger and Jozef Hanes. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.