Christian Bach

2.9k total citations
82 papers, 1.8k citations indexed

About

Christian Bach is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Christian Bach has authored 82 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 13 papers in Hematology and 8 papers in Immunology. Recurrent topics in Christian Bach's work include Acute Myeloid Leukemia Research (11 papers), Renal Transplantation Outcomes and Treatments (6 papers) and Genomics and Chromatin Dynamics (6 papers). Christian Bach is often cited by papers focused on Acute Myeloid Leukemia Research (11 papers), Renal Transplantation Outcomes and Treatments (6 papers) and Genomics and Chromatin Dynamics (6 papers). Christian Bach collaborates with scholars based in Germany, United States and Switzerland. Christian Bach's co-authors include Hans‐Jürgen Thiesen, Robert K. Slany, María-Paz García-Cuéllar, Jay L. Hess, Emanuel Maethner, Arul M. Chinnaiyan, Arun Sreekumar, Rong Zhou, Alexey I. Nesvizhskii and Sara Monroe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Christian Bach

69 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christian Bach Germany 19 1.2k 447 146 144 104 82 1.8k
John R. Mills United States 30 1.8k 1.5× 512 1.1× 259 1.8× 479 3.3× 193 1.9× 110 3.1k
Mark N. Adams Australia 21 908 0.7× 271 0.6× 170 1.2× 385 2.7× 73 0.7× 65 1.5k
Rekha Rao United States 25 1.8k 1.4× 506 1.1× 170 1.2× 401 2.8× 101 1.0× 49 2.2k
Kimberly A. Lee United States 15 1.8k 1.4× 273 0.6× 127 0.9× 403 2.8× 54 0.5× 19 2.4k
Martín Neumann Germany 20 401 0.3× 472 1.1× 103 0.7× 174 1.2× 41 0.4× 83 1.2k
Denise K. Walters United States 23 719 0.6× 1.1k 2.4× 148 1.0× 351 2.4× 51 0.5× 41 2.0k
Steve M. M. Sweet United Kingdom 24 1.6k 1.3× 207 0.5× 72 0.5× 221 1.5× 74 0.7× 35 2.1k
Sjozèf van Baal Netherlands 18 1.5k 1.2× 848 1.9× 93 0.6× 273 1.9× 338 3.3× 23 2.2k
John F. Healey United States 32 1.0k 0.8× 1.3k 3.0× 120 0.8× 257 1.8× 264 2.5× 130 2.7k
Ines Kaupe Austria 10 594 0.5× 583 1.3× 80 0.5× 218 1.5× 21 0.2× 13 1.2k

Countries citing papers authored by Christian Bach

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Bach, Christian, et al.. (2025). Operating System and Decision Making.
2.
Zhou, Fang, Biljana Culjkovic‐Kraljacic, Christian Bach, et al.. (2025). Posttranscriptional activity of eIF4E contributes to HoxA9-driven leukemogenesis. PubMed. 2(4). 100132–100132.
3.
Bach, Christian, Annegret Glasow, Henry Oppermann, et al.. (2024). Rapid and reproducible generation of glioblastoma spheroids for high-throughput drug screening. Frontiers in Bioengineering and Biotechnology. 12. 1471012–1471012. 1 indexed citations
4.
Bach, Christian, et al.. (2021). Covid-19 Conspiracy Beliefs. University of Bridgeport ScholarWorks (University of Bridgeport). 2 indexed citations
5.
Zecher, Daniel, Christian Bach, Kirsten Utpatel, et al.. (2018). Analysis of Luminex-based Algorithms to Define Unacceptable HLA Antibodies in CDC-crossmatch Negative Kidney Transplant Recipients. Transplantation. 102(6). 969–977. 12 indexed citations
6.
Bach, Christian, et al.. (2018). Genetic Engineering -Tool for Mankind. European Journal of Engineering and Technology Research. 3(3). 58–58.
7.
Bach, Christian, et al.. (2015). Knowledge Management Readiness In Organizations. International journal of scientific and technology research. 4(6). 99–102. 4 indexed citations
8.
Ye, Min, Hong Zhang, Henry Yang, et al.. (2015). Hematopoietic Differentiation Is Required for Initiation of Acute Myeloid Leukemia. Cell stem cell. 17(5). 611–623. 78 indexed citations
9.
Bach, Christian, et al.. (2015). Major Traits/Qualities of Leadership. 4 indexed citations
10.
Bach, Christian, et al.. (2014). Evaluation of Novel Design Strategies for Developing Zinc Finger Nucleases Tools for Treating Human Diseases. Europe PMC (PubMed Central). 2014. 1–27. 2 indexed citations
11.
Welner, Robert S., Deepak Bararia, Giovanni Amabile, et al.. (2013). C/EBPα is required for development of dendritic cell progenitors. Blood. 121(20). 4073–4081. 30 indexed citations
12.
Elmannai, Wafa, Ammar Odeh, & Christian Bach. (2013). Academic Use of Online Social Networks. International journal of innovation and applied studies. 3(2). 337–345. 2 indexed citations
13.
Zhang, Dake, Ke Zhang, Libin Deng, et al.. (2012). Whole genome HBV deletion profiles and the accumulation of preS deletion mutant during antiviral treatment. BMC Microbiology. 12(1). 307–307. 35 indexed citations
14.
Bach, Christian, et al.. (2010). Leukemogenic transformation by HOXA cluster genes. Blood. 115(14). 2910–2918. 110 indexed citations
15.
Roffé, Martín, Flávio H. Beraldo, Romina Bester, et al.. (2010). Prion protein interaction with stress-inducible protein 1 enhances neuronal protein synthesis via mTOR. Proceedings of the National Academy of Sciences. 107(29). 13147–13152. 88 indexed citations
16.
Bach, Christian, Sabine Gilch, Alex D. Greenwood, et al.. (2009). Prion-induced Activation of Cholesterogenic Gene Expression by Srebp2 in Neuronal Cells. Journal of Biological Chemistry. 284(45). 31260–31269. 32 indexed citations
17.
Bach, Christian, et al.. (2009). Extending the intellectual bandwidth model: a case study from the bioscience industry. Management Research News. 32(12). 1097–1110.
18.
Stengel, Anna, Christian Bach, Ina Vorberg, et al.. (2006). Prion infection influences murine endogenous retrovirus expression in neuronal cells. Biochemical and Biophysical Research Communications. 343(3). 825–831. 12 indexed citations
19.
Bach, Christian & Salvatore Belardo. (2003). SCIENTIFIC AND PHILOSOPHICAL ASPECTS OF INFORMATION AND THE RELATIONSHIPS AMONG DATA, INFORMATION, AND KNOWLEDGE. Journal of the Association for Information Systems. 344. 3 indexed citations
20.
Thiesen, Hans‐Jürgen & Christian Bach. (1991). Transition metals modulate DNA-protein interactions of SP1 zinc finger domains with its cognate target site. Biochemical and Biophysical Research Communications. 176(2). 551–557. 67 indexed citations

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.

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