Christian Bach
- Molecular Biology top 10%
- Hematology top 2%
- Immunology
- Oncology
- Genetics
- Co-authors
- Hans‐Jürgen ThiesenRobert K. SlanyMaría-Paz García-CuéllarJay L. HessEmanuel MaethnerAlexey I. NesvizhskiiRong ZhouArun Sreekumar
- Topics
- Acute Myeloid Leukemia Research (11 papers)Renal Transplantation Outcomes and Treatments (6 papers)Genomics and Chromatin Dynamics (6 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Christian Bach
69 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 135
- Molecular Biology 1.2k
- Hematology 447
- Immunology 146
- Oncology 144
- Genetics 104
Countries citing papers authored by Christian Bach
This map shows the geographic impact of Christian Bach'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 Christian Bach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Bach more than expected).
Fields of papers citing papers by Christian Bach
This network shows the impact of papers produced by Christian Bach. 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 Christian Bach. The network helps show where Christian Bach may publish in the future.
Co-authorship network of co-authors of Christian Bach
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Bach. A scholar is included among the top collaborators of Christian Bach 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 Christian Bach. Christian Bach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Covid-19 Conspiracy Beliefs | 2 |
| 3 | 11 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 15 | |
| 7 | Knowledge Management Readiness In Organizations | 4 |
| 8 | 78 | |
| 9 | 2 | |
| 10 | 30 | |
| 11 | Academic Use of Online Social Networks | 2 |
| 12 | 35 | |
| 13 | 110 | |
| 14 | 32 | |
| 15 | 34 | |
| 16 | 65 | |
| 17 | 12 | |
| 18 | SCIENTIFIC AND PHILOSOPHICAL ASPECTS OF INFORMATION AND THE RELATIONSHIPS AMONG DATA, INFORMATION, AND KNOWLEDGE | 3 |
| 19 | 67 | |
| 20 | 10 |
About Christian Bach
Christian Bach is a scholar working on Transplantation, Hematology and Management Information Systems, having authored 82 papers that have together received 1.8k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Renal Transplantation Outcomes and Treatments (6 papers) and Genomics and Chromatin Dynamics (6 papers). The work is most often cited by research in Hematology (447 citations), Transplantation (70 citations) and Molecular Biology (1.2k citations). Christian Bach has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Hans‐Jürgen Thiesen, Robert K. Slany, María-Paz García-Cuéllar, Jay L. Hess, Emanuel Maethner, Alexey I. Nesvizhskii, Rong Zhou, Arun Sreekumar, Sara Monroe and Arul M. Chinnaiyan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.