Julian Schwab
- Molecular Biology
- Computational Theory and Mathematics top 10%
- Radiology, Nuclear Medicine and Imaging
- Cancer Research
- Oncology
- Co-authors
- Hans A. KestlerNensi IkonomiSilke D. KühlweinMichael KühlAndreas BurkovskiChristoph MüsselGerald ReischlLinda Krug
- Topics
- Gene Regulatory Network Analysis (12 papers)Bioinformatics and Genomic Networks (9 papers)Computational Drug Discovery Methods (5 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Julian Schwab
28 papers receiving 417 citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 253
- Computational Theory and Mathematics 56
- Radiology, Nuclear Medicine and Imaging 51
- Cancer Research 35
- Oncology 32
Countries citing papers authored by Julian Schwab
This map shows the geographic impact of Julian Schwab'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 Julian Schwab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julian Schwab more than expected).
Fields of papers citing papers by Julian Schwab
This network shows the impact of papers produced by Julian Schwab. 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 Julian Schwab. The network helps show where Julian Schwab may publish in the future.
Co-authorship network of co-authors of Julian Schwab
This figure shows the co-authorship network connecting the top 25 collaborators of Julian Schwab. A scholar is included among the top collaborators of Julian Schwab 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 Julian Schwab. Julian Schwab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 20 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 21 | |
| 14 | 19 | |
| 15 | 108 | |
| 16 | 25 | |
| 17 | 14 | |
| 18 | 58 | |
| 19 | 27 | |
| 20 | 31 |
About Julian Schwab
Julian Schwab is a scholar working on Aging, Applied Psychology and Biophysics, having authored 31 papers that have together received 418 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (12 papers), Bioinformatics and Genomic Networks (9 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Biophysics (26 citations), Molecular Biology (253 citations) and Computational Theory and Mathematics (56 citations). Julian Schwab has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Hans A. Kestler, Nensi Ikonomi, Silke D. Kühlwein, Michael Kühl, Andreas Burkovski, Christoph Müssel, Gerald Reischl, Linda Krug, Meinhard Wlaschek and Karmveer Singh. Their work appears in journals such as Bioinformatics, PLoS ONE and Cancer 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.