Christian Bach

170 total papers · 2.9k total citations
81 papers, 1.8k citations indexed

About

Christian Bach is a scholar working on Molecular Biology, Hematology and Strategy and Management. According to data from OpenAlex, Christian Bach has authored 81 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 12 papers in Hematology and 7 papers in Strategy and Management. Recurrent topics in Christian Bach's work include Acute Myeloid Leukemia Research (10 papers), Genomics and Chromatin Dynamics (6 papers) and Renal Transplantation Outcomes and Treatments (6 papers). Christian Bach is often cited by papers focused on Acute Myeloid Leukemia Research (10 papers), Genomics and Chromatin Dynamics (6 papers) and Renal Transplantation Outcomes and Treatments (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, Emanuel Maethner, Jay L. Hess, Alexey I. Nesvizhskii, Sara Monroe, Rong Zhou, Arul M. Chinnaiyan and Arun Sreekumar 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

68 papers receiving 1.8k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Christian Bach 1.2k 445 145 142 105 81 1.8k
S. A. Roumiantsev 741 0.6× 295 0.7× 111 0.8× 206 1.5× 125 1.2× 75 1.4k
Andrew Pierce 1.3k 1.0× 574 1.3× 253 1.7× 424 3.0× 112 1.1× 69 2.2k
Rebecca Ganetzky 1.5k 1.2× 653 1.5× 140 1.0× 73 0.5× 226 2.2× 79 2.2k
Henry Rodriguez 1.4k 1.1× 359 0.8× 124 0.9× 233 1.6× 103 1.0× 44 2.3k
Dorina Gui 860 0.7× 237 0.5× 211 1.5× 344 2.4× 93 0.9× 52 1.7k
Dilara McCauley 1.3k 1.1× 350 0.8× 120 0.8× 456 3.2× 107 1.0× 56 1.7k
Donatella Venturelli 1.1k 0.9× 638 1.4× 283 2.0× 308 2.2× 173 1.6× 58 1.8k
N. M. Blackett 450 0.4× 316 0.7× 146 1.0× 247 1.7× 96 0.9× 68 1.3k
Florian Grebien 1.3k 1.0× 788 1.8× 321 2.2× 447 3.1× 74 0.7× 61 2.3k
Alexander Thompson 1.3k 1.0× 389 0.9× 140 1.0× 195 1.4× 124 1.2× 68 1.8k

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

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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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2026